COURSE FORMAT & DELIVERY DETAILS Learn On Your Terms - Self-Paced, Immediate Access, No Time Commitments
This is a self-paced digital course with immediate access upon enrollment. You decide when, where, and how fast you progress. There are no fixed dates, no scheduled sessions, and no deadlines. Whether you have 20 minutes during lunch or a full evening to dive deep, the structure is designed to fit your life, not the other way around. On-Demand Learning Built for Global Professionals
The entire course is available on-demand. Once you enroll, you gain instant entry to all materials, which you can access anytime, day or night, from any device. Whether you're in New York, Singapore, London, or Sydney, your learning journey moves with you - 24/7, anywhere in the world. Complete in Weeks, Apply for Lifetime Impact
Most learners complete the core content in 4 to 6 weeks when dedicating 5 to 7 hours per week. However, many report applying foundational strategies within the first 48 hours to improve prospecting, messaging, and outreach workflows. The faster you implement, the faster you see measurable impact on engagement, conversion, and pipeline velocity. Lifetime Access with Continuous Updates - No Extra Cost
You're not purchasing a time-limited product. You're investing in an evolving, future-proof resource. With lifetime access, you receive every future update, expansion, and enhancement at no additional charge. As AI tools and sales automation evolve, your course materials evolve with them - ensuring your knowledge remains sharp, current, and competitive. Fully Mobile-Compatible for Learning Anywhere
Access your course materials seamlessly on smartphones, tablets, or desktops. The layout dynamically adjusts to your screen size, so you can review frameworks during a commute, refine outreach templates on your phone, or study implementation playbooks from your laptop. Flexibility is built in at every level. Direct Instructor Guidance & Expert Support
Throughout your journey, you'll have access to structured support from our expert team. You’ll receive actionable feedback on exercises, clarification on complex automation workflows, and insights on optimizing AI deployment for your specific role and industry. This is not a passive experience - you're guided, supported, and empowered every step of the way. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you will earn a Certificate of Completion issued by The Art of Service - a globally recognised provider of high-impact skill development for professionals in technology, sales, and operations. This certificate validates your expertise in AI-powered sales automation, enhances your credibility, and strengthens your professional profile on platforms like LinkedIn, resumes, and performance reviews. Transparent Pricing - No Hidden Fees, Ever
The price you see is the price you pay. There are no recurring charges, surprise fees, or upsells. You get full access to every module, every resource, and every update - all included upfront. This is not a trial, not a teaser, and not a gateway to a more expensive program. You receive the complete course immediately, with total clarity. Trusted Payment Methods Accepted
We accept major payment options including Visa, Mastercard, and PayPal. Secure checkout ensures your information is protected, and your transaction is processed with industry-leading encryption and fraud prevention standards. 100% Satisfied or Refunded - Zero Risk Enrollment
We are so confident in the value of this course that we offer a complete satisfaction guarantee. If you’re not seeing immediate clarity, actionable strategies, and confidence in applying AI-powered automation, simply reach out, and we’ll refund your investment - no questions asked. Your success is our only priority. Immediate Confirmation, Hassle-Free Access
After enrollment, you’ll receive a confirmation email acknowledging your registration. Once your course materials are prepared, your access details will be sent separately. This ensures a smooth, high-quality delivery experience, free from technical errors or premature login attempts. “Will This Work For Me?” - Absolutely, and Here’s Why
Whether you're a sales development representative aiming to double your qualified meetings, a revenue operations lead streamlining team workflows, or a VP of Sales scaling an entire organization, this course is engineered for your success. The frameworks are role-specific, adaptable, and field-tested. One sales leader at a B2B SaaS company used Module 5 to automate outreach sequencing and saw a 68% increase in response rates in under three weeks. A complex enterprise multi-threading strategy, once taking 12 hours to build, now takes under 90 minutes using the AI workflows taught in Module 9. This works even if you’ve never used AI tools before. Zero technical background required. We walk you through each tool, each prompt, each integration - step by step, with clarity and precision. If you can use email, you can master this system. Don't take our word for it. Graduates from Salesforce, HubSpot, Shopify, and enterprise consulting firms have applied these strategies to reduce manual tasks by up to 80%, accelerate ramp time for new hires, and scale outreach across geographies with minimal friction. Your Investment is Fully Protected - Risk Reversal Built In
We eliminate all friction and fear from your decision. You get lifetime access, expert support, a globally recognised certificate, and a full refund promise if the course doesn’t meet your expectations. You gain career clarity, strategic advantage, and measurable ROI - with zero downside. This is not just education. It’s career insurance with explosive upside.
EXTENSIVE & DETAILED COURSE CURRICULUM
Module 1: Foundations of AI-Powered Sales Automation - Understanding the AI revolution in modern sales
- Defining sales automation and its role in high-growth teams
- Core principles of scalable, repeatable revenue operations
- Mapping out manual processes ripe for automation
- Identifying low-effort, high-impact automation opportunities
- Common misconceptions about AI in sales
- Ethical considerations and maintaining human connection
- How AI augments salespeople, not replaces them
- Building your personal automation mindset
- Overview of the 7-phase mastery framework
Module 2: Strategic Frameworks for AI-Driven Revenue Teams - The Predictive Outreach Model: forecast engagement with AI
- Introducing the Automated Funnel Stack
- Reverse-engineering quota with automation leverage
- The Scalable Prospecting Matrix
- Designing intelligent lead qualification workflows
- Implementing the AI Feedback Loop for continuous improvement
- Building a self-optimising sales cadence
- The 4-Tier Automation Hierarchy
- Aligning automation goals with revenue KPIs
- Action plan: audit your current sales process
Module 3: Essential AI Tools for Sales Efficiency - Comparing leading AI writing assistants for sales
- Selecting the right tool for email, sequencing, and messaging
- Integrating AI into your existing CRM platform
- Setting up AI for LinkedIn outreach personalisation
- Automating follow-up triggers based on buyer behaviour
- Using voice-to-text AI for call note summarisation
- AI-powered research tools for account intelligence
- Real-time objection handling with AI script generation
- Tool setup checklist: configuration, permissions, security
- Best practices for prompt engineering in sales
Module 4: AI-Optimised Prospecting & Lead Generation - Building AI-generated Ideal Customer Profiles
- Automating lead list creation from multiple data sources
- Synthesising technographic, firmographic, and intent data
- Designing hyper-personalised cold email subject lines
- Dynamic email body generation based on role and industry
- Scheduling AI-driven multi-channel sequences
- Automating LinkedIn InMail with contextual personalisation
- Using AI to avoid spam triggers and improve deliverability
- Tracking lead engagement across touchpoints
- Trigger-based progression in outreach sequences
- AI-driven persona matching for messaging relevance
- Reducing manual prospecting time by 70% or more
- Validating lead quality before assignment to reps
- Balancing automation with authenticity
Module 5: Smart Sequencing & Multi-Channel Automation - Designing intelligent, adaptive outreach sequences
- Modular sequence architecture for reuse and scaling
- Automating handoffs between email, phone, and social
- Using AI to determine optimal timing for touches
- Dynamic versioning based on response patterns
- Automated A/B testing of message variants
- Analysing sequence performance with AI insights
- Re-engagement campaigns for stalled prospects
- Automating SMS follow-ups with compliant workflows
- Creating condition-based branching in sequences
- Integrating calendar availability into outreach
- Self-correcting sequences that learn from feedback
- Reducing drop-off in outreach cycles
- Building sequences for different buying stages
- Handoff protocols for transferring warm leads
Module 6: CRM Integration & Data Automation - Automating lead entry and enrichment in your CRM
- Synchronising AI-generated notes with activity logs
- Enriching contact records with AI-researched data
- Setting up smart data validation rules
- Automated deal stage progression triggers
- AI-powered next-best-action suggestions
- Reducing manual data entry by 90% or more
- Building custom automation workflows in Salesforce
- Creating HubSpot automation blueprints
- Using Zapier to connect AI tools with your CRM
- Automating task creation based on engagement
- Handling unstructured data from calls and emails
- Maintaining data hygiene with AI audits
- Ensuring GDPR and compliance in automated data flows
- Real-time sync between outreach platforms and CRM
Module 7: AI for Sales Messaging & Copy Generation - Mastering prompt design for high-converting copy
- Generating subject lines that increase open rates
- Writing AI-powered cold email bodies that convert
- Personalising at scale without sounding robotic
- Creating messaging variants for different personas
- Adapting tone to industry, seniority, and region
- Generating follow-up messages based on replies
- Drafting value propositions in minutes, not hours
- Automating case study customisation for prospects
- Building a repository of approved AI-generated templates
- Training AI on your top performers' language patterns
- Using AI to refine messaging based on conversion data
- Editing and approving AI output efficiently
- Avoiding generic or spammy language
- Integrating messaging automation with approval workflows
Module 8: AI in Negotiation & Deal Acceleration - Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
Module 1: Foundations of AI-Powered Sales Automation - Understanding the AI revolution in modern sales
- Defining sales automation and its role in high-growth teams
- Core principles of scalable, repeatable revenue operations
- Mapping out manual processes ripe for automation
- Identifying low-effort, high-impact automation opportunities
- Common misconceptions about AI in sales
- Ethical considerations and maintaining human connection
- How AI augments salespeople, not replaces them
- Building your personal automation mindset
- Overview of the 7-phase mastery framework
Module 2: Strategic Frameworks for AI-Driven Revenue Teams - The Predictive Outreach Model: forecast engagement with AI
- Introducing the Automated Funnel Stack
- Reverse-engineering quota with automation leverage
- The Scalable Prospecting Matrix
- Designing intelligent lead qualification workflows
- Implementing the AI Feedback Loop for continuous improvement
- Building a self-optimising sales cadence
- The 4-Tier Automation Hierarchy
- Aligning automation goals with revenue KPIs
- Action plan: audit your current sales process
Module 3: Essential AI Tools for Sales Efficiency - Comparing leading AI writing assistants for sales
- Selecting the right tool for email, sequencing, and messaging
- Integrating AI into your existing CRM platform
- Setting up AI for LinkedIn outreach personalisation
- Automating follow-up triggers based on buyer behaviour
- Using voice-to-text AI for call note summarisation
- AI-powered research tools for account intelligence
- Real-time objection handling with AI script generation
- Tool setup checklist: configuration, permissions, security
- Best practices for prompt engineering in sales
Module 4: AI-Optimised Prospecting & Lead Generation - Building AI-generated Ideal Customer Profiles
- Automating lead list creation from multiple data sources
- Synthesising technographic, firmographic, and intent data
- Designing hyper-personalised cold email subject lines
- Dynamic email body generation based on role and industry
- Scheduling AI-driven multi-channel sequences
- Automating LinkedIn InMail with contextual personalisation
- Using AI to avoid spam triggers and improve deliverability
- Tracking lead engagement across touchpoints
- Trigger-based progression in outreach sequences
- AI-driven persona matching for messaging relevance
- Reducing manual prospecting time by 70% or more
- Validating lead quality before assignment to reps
- Balancing automation with authenticity
Module 5: Smart Sequencing & Multi-Channel Automation - Designing intelligent, adaptive outreach sequences
- Modular sequence architecture for reuse and scaling
- Automating handoffs between email, phone, and social
- Using AI to determine optimal timing for touches
- Dynamic versioning based on response patterns
- Automated A/B testing of message variants
- Analysing sequence performance with AI insights
- Re-engagement campaigns for stalled prospects
- Automating SMS follow-ups with compliant workflows
- Creating condition-based branching in sequences
- Integrating calendar availability into outreach
- Self-correcting sequences that learn from feedback
- Reducing drop-off in outreach cycles
- Building sequences for different buying stages
- Handoff protocols for transferring warm leads
Module 6: CRM Integration & Data Automation - Automating lead entry and enrichment in your CRM
- Synchronising AI-generated notes with activity logs
- Enriching contact records with AI-researched data
- Setting up smart data validation rules
- Automated deal stage progression triggers
- AI-powered next-best-action suggestions
- Reducing manual data entry by 90% or more
- Building custom automation workflows in Salesforce
- Creating HubSpot automation blueprints
- Using Zapier to connect AI tools with your CRM
- Automating task creation based on engagement
- Handling unstructured data from calls and emails
- Maintaining data hygiene with AI audits
- Ensuring GDPR and compliance in automated data flows
- Real-time sync between outreach platforms and CRM
Module 7: AI for Sales Messaging & Copy Generation - Mastering prompt design for high-converting copy
- Generating subject lines that increase open rates
- Writing AI-powered cold email bodies that convert
- Personalising at scale without sounding robotic
- Creating messaging variants for different personas
- Adapting tone to industry, seniority, and region
- Generating follow-up messages based on replies
- Drafting value propositions in minutes, not hours
- Automating case study customisation for prospects
- Building a repository of approved AI-generated templates
- Training AI on your top performers' language patterns
- Using AI to refine messaging based on conversion data
- Editing and approving AI output efficiently
- Avoiding generic or spammy language
- Integrating messaging automation with approval workflows
Module 8: AI in Negotiation & Deal Acceleration - Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- The Predictive Outreach Model: forecast engagement with AI
- Introducing the Automated Funnel Stack
- Reverse-engineering quota with automation leverage
- The Scalable Prospecting Matrix
- Designing intelligent lead qualification workflows
- Implementing the AI Feedback Loop for continuous improvement
- Building a self-optimising sales cadence
- The 4-Tier Automation Hierarchy
- Aligning automation goals with revenue KPIs
- Action plan: audit your current sales process
Module 3: Essential AI Tools for Sales Efficiency - Comparing leading AI writing assistants for sales
- Selecting the right tool for email, sequencing, and messaging
- Integrating AI into your existing CRM platform
- Setting up AI for LinkedIn outreach personalisation
- Automating follow-up triggers based on buyer behaviour
- Using voice-to-text AI for call note summarisation
- AI-powered research tools for account intelligence
- Real-time objection handling with AI script generation
- Tool setup checklist: configuration, permissions, security
- Best practices for prompt engineering in sales
Module 4: AI-Optimised Prospecting & Lead Generation - Building AI-generated Ideal Customer Profiles
- Automating lead list creation from multiple data sources
- Synthesising technographic, firmographic, and intent data
- Designing hyper-personalised cold email subject lines
- Dynamic email body generation based on role and industry
- Scheduling AI-driven multi-channel sequences
- Automating LinkedIn InMail with contextual personalisation
- Using AI to avoid spam triggers and improve deliverability
- Tracking lead engagement across touchpoints
- Trigger-based progression in outreach sequences
- AI-driven persona matching for messaging relevance
- Reducing manual prospecting time by 70% or more
- Validating lead quality before assignment to reps
- Balancing automation with authenticity
Module 5: Smart Sequencing & Multi-Channel Automation - Designing intelligent, adaptive outreach sequences
- Modular sequence architecture for reuse and scaling
- Automating handoffs between email, phone, and social
- Using AI to determine optimal timing for touches
- Dynamic versioning based on response patterns
- Automated A/B testing of message variants
- Analysing sequence performance with AI insights
- Re-engagement campaigns for stalled prospects
- Automating SMS follow-ups with compliant workflows
- Creating condition-based branching in sequences
- Integrating calendar availability into outreach
- Self-correcting sequences that learn from feedback
- Reducing drop-off in outreach cycles
- Building sequences for different buying stages
- Handoff protocols for transferring warm leads
Module 6: CRM Integration & Data Automation - Automating lead entry and enrichment in your CRM
- Synchronising AI-generated notes with activity logs
- Enriching contact records with AI-researched data
- Setting up smart data validation rules
- Automated deal stage progression triggers
- AI-powered next-best-action suggestions
- Reducing manual data entry by 90% or more
- Building custom automation workflows in Salesforce
- Creating HubSpot automation blueprints
- Using Zapier to connect AI tools with your CRM
- Automating task creation based on engagement
- Handling unstructured data from calls and emails
- Maintaining data hygiene with AI audits
- Ensuring GDPR and compliance in automated data flows
- Real-time sync between outreach platforms and CRM
Module 7: AI for Sales Messaging & Copy Generation - Mastering prompt design for high-converting copy
- Generating subject lines that increase open rates
- Writing AI-powered cold email bodies that convert
- Personalising at scale without sounding robotic
- Creating messaging variants for different personas
- Adapting tone to industry, seniority, and region
- Generating follow-up messages based on replies
- Drafting value propositions in minutes, not hours
- Automating case study customisation for prospects
- Building a repository of approved AI-generated templates
- Training AI on your top performers' language patterns
- Using AI to refine messaging based on conversion data
- Editing and approving AI output efficiently
- Avoiding generic or spammy language
- Integrating messaging automation with approval workflows
Module 8: AI in Negotiation & Deal Acceleration - Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Building AI-generated Ideal Customer Profiles
- Automating lead list creation from multiple data sources
- Synthesising technographic, firmographic, and intent data
- Designing hyper-personalised cold email subject lines
- Dynamic email body generation based on role and industry
- Scheduling AI-driven multi-channel sequences
- Automating LinkedIn InMail with contextual personalisation
- Using AI to avoid spam triggers and improve deliverability
- Tracking lead engagement across touchpoints
- Trigger-based progression in outreach sequences
- AI-driven persona matching for messaging relevance
- Reducing manual prospecting time by 70% or more
- Validating lead quality before assignment to reps
- Balancing automation with authenticity
Module 5: Smart Sequencing & Multi-Channel Automation - Designing intelligent, adaptive outreach sequences
- Modular sequence architecture for reuse and scaling
- Automating handoffs between email, phone, and social
- Using AI to determine optimal timing for touches
- Dynamic versioning based on response patterns
- Automated A/B testing of message variants
- Analysing sequence performance with AI insights
- Re-engagement campaigns for stalled prospects
- Automating SMS follow-ups with compliant workflows
- Creating condition-based branching in sequences
- Integrating calendar availability into outreach
- Self-correcting sequences that learn from feedback
- Reducing drop-off in outreach cycles
- Building sequences for different buying stages
- Handoff protocols for transferring warm leads
Module 6: CRM Integration & Data Automation - Automating lead entry and enrichment in your CRM
- Synchronising AI-generated notes with activity logs
- Enriching contact records with AI-researched data
- Setting up smart data validation rules
- Automated deal stage progression triggers
- AI-powered next-best-action suggestions
- Reducing manual data entry by 90% or more
- Building custom automation workflows in Salesforce
- Creating HubSpot automation blueprints
- Using Zapier to connect AI tools with your CRM
- Automating task creation based on engagement
- Handling unstructured data from calls and emails
- Maintaining data hygiene with AI audits
- Ensuring GDPR and compliance in automated data flows
- Real-time sync between outreach platforms and CRM
Module 7: AI for Sales Messaging & Copy Generation - Mastering prompt design for high-converting copy
- Generating subject lines that increase open rates
- Writing AI-powered cold email bodies that convert
- Personalising at scale without sounding robotic
- Creating messaging variants for different personas
- Adapting tone to industry, seniority, and region
- Generating follow-up messages based on replies
- Drafting value propositions in minutes, not hours
- Automating case study customisation for prospects
- Building a repository of approved AI-generated templates
- Training AI on your top performers' language patterns
- Using AI to refine messaging based on conversion data
- Editing and approving AI output efficiently
- Avoiding generic or spammy language
- Integrating messaging automation with approval workflows
Module 8: AI in Negotiation & Deal Acceleration - Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Automating lead entry and enrichment in your CRM
- Synchronising AI-generated notes with activity logs
- Enriching contact records with AI-researched data
- Setting up smart data validation rules
- Automated deal stage progression triggers
- AI-powered next-best-action suggestions
- Reducing manual data entry by 90% or more
- Building custom automation workflows in Salesforce
- Creating HubSpot automation blueprints
- Using Zapier to connect AI tools with your CRM
- Automating task creation based on engagement
- Handling unstructured data from calls and emails
- Maintaining data hygiene with AI audits
- Ensuring GDPR and compliance in automated data flows
- Real-time sync between outreach platforms and CRM
Module 7: AI for Sales Messaging & Copy Generation - Mastering prompt design for high-converting copy
- Generating subject lines that increase open rates
- Writing AI-powered cold email bodies that convert
- Personalising at scale without sounding robotic
- Creating messaging variants for different personas
- Adapting tone to industry, seniority, and region
- Generating follow-up messages based on replies
- Drafting value propositions in minutes, not hours
- Automating case study customisation for prospects
- Building a repository of approved AI-generated templates
- Training AI on your top performers' language patterns
- Using AI to refine messaging based on conversion data
- Editing and approving AI output efficiently
- Avoiding generic or spammy language
- Integrating messaging automation with approval workflows
Module 8: AI in Negotiation & Deal Acceleration - Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Using AI to anticipate common objections
- Generating rebuttals and counter-responses in real time
- Analysing buyer emails for sentiment and urgency
- Creating dynamic negotiation scripts
- Automating discount approval workflows
- Speeding up legal and procurement cycles
- AI summarisation of contract feedback loops
- Predicting deal health based on communication patterns
- Flagging at-risk opportunities for intervention
- Automating closing checklists and handoffs
- Generating custom pricing proposals
- Accelerating time-to-close with AI nudges
- Using AI to track decision-maker alignment
- Detecting buying signals across communications
- Forecasting close probability with AI models
Module 9: Advanced Workflow Automation for Revenue Ops - Designing end-to-end automated onboarding workflows
- Automating territory and lead assignment logic
- Reducing ramp time for new sales hires
- Scaling processes across regions and verticals
- Creating self-documenting process flows
- Automating performance reporting and dashboards
- Setting up AI-driven coaching recommendations
- Identifying skill gaps using conversation analysis
- Standardising playbooks across the team
- Automating QBR and forecast preparation
- Reducing operational overhead in sales leadership
- Building escalation workflows for urgent deals
- Creating compliance and audit trails
- Automating quota reallocation triggers
- Integrating automation with compensation systems
Module 10: AI-Powered Coaching & Performance Optimisation - Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Using AI to analyse sales calls and meetings
- Identifying top performer patterns across the team
- Generating customised coaching reports
- Highlighting missed opportunities in conversations
- Automating feedback on talk-to-listen ratios
- Tracking objection handling effectiveness
- Providing real-time suggestions during calls
- Building skill development paths for reps
- Monitoring consistency in messaging
- Benchmarking performance against team averages
- Reducing coaching time while increasing impact
- Automating call scoring systems
- Integrating AI insights with 1:1 review agendas
- Celebrating wins and reinforcing strengths
- Creating a continuous improvement culture
Module 11: Building & Running AI Sales Bots - Designing conversational AI for lead qualification
- Creating chatbot scripts that feel human
- Integrating bots with live handoff protocols
- Automating FAQ responses on websites and portals
- Using bots to schedule demos and meetings
- Training bots on product knowledge and pricing
- Escalating complex queries to human reps
- Analysing bot interactions for process improvements
- Reducing front-line support load
- Measuring bot conversion rates
- Ensuring brand voice consistency in bot output
- Setting up bot monitoring and alerting
- Updating bot knowledge bases automatically
- Deploying bots across social media channels
- Using bots for post-sale support and renewal prep
Module 12: Personalisation at Scale with AI - Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Creating dynamic content insertion frameworks
- Generating custom one-pagers for prospects
- Using AI to tailor product demos by use case
- Automating personalised video message scripts
- Building industry-specific talking points
- Inserting real-time company data into outreach
- Adapting messaging for different buying committees
- Using AI to research individual pain points
- Linking personalisation to intent signals
- Creating scalable yet authentic communication
- Avoiding the uncanny valley of over-automation
- Delivering 1:1 experiences at 1:many volume
- Validating personalisation effectiveness
- Training AI on successful past campaigns
- Measuring engagement lift from hyper-personalisation
Module 13: AI for Competitive Intelligence & Market Positioning - Automating competitor tracking across channels
- Summarising competitor messaging and offers
- Identifying differentiation opportunities
- Generating battlecards in minutes
- Updating positioning based on market shifts
- Analysing gaps in your own messaging
- Monitoring reviews and sentiment about competitors
- Creating real-time objection responses
- Automating win/loss analysis reports
- Reinforcing strengths in outreach and demos
- Positioning against pricing and feature gaps
- Using AI to refine value proposition decks
- Building proactive counter-narratives
- Informing product and marketing strategy
- Alerting teams to competitive threats
Module 14: Security, Compliance & Ethical AI Use - Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Understanding data privacy in AI automation
- Ensuring compliance with GDPR, CCPA, and other regulations
- Reviewing AI tool data handling policies
- Securing sensitive customer and prospect data
- Audit logging for transparency and accountability
- Establishing AI usage policies for your team
- Preventing bias in AI-generated content
- Protecting intellectual property in prompts
- Maintaining brand integrity in automated messaging
- Designing opt-out and unsubscribe workflows
- Monitoring for deceptive or misleading language
- Training teams on responsible AI practices
- Obtaining consent for data processing
- Responding to prospect concerns about automation
- Creating an AI ethics oversight checklist
Module 15: Implementation Blueprint & Rollout Strategy - Planning your 30-60-90 day automation roadmap
- Prioritising high-impact projects for quick wins
- Building a cross-functional automation team
- Running pilot programs with measurable outcomes
- Measuring success with leading and lagging indicators
- Securing stakeholder buy-in and executive support
- Communicating changes to the sales team
- Training teams on new workflows
- Handling resistance to change
- Creating documentation and support guides
- Establishing feedback loops for continuous iteration
- Scaling automation across regions and teams
- Integrating with existing sales methodologies
- Running automation health audits
- Planning for future AI advancements
Module 16: Certification Preparation & Career Advancement - Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates
- Reviewing core concepts and key frameworks
- Completing the final automation blueprint project
- Submitting your project for expert evaluation
- Receiving detailed feedback and scoring
- Preparing for the certification assessment
- Understanding the evaluation criteria
- Demonstrating mastery of AI workflow design
- Presenting ROI-focused automation cases
- Documenting your personal automation playbook
- Highlighting achievements for career growth
- Adding your Certificate of Completion to LinkedIn
- Leveraging certification in job applications
- Using your credential in client-facing roles
- Positioning yourself as a revenue innovation leader
- Accessing exclusive alumni resources and updates