AI-Powered Sales Automation: Future-Proof Your Career and Outperform the Competition
You're under pressure. Quotas are rising. Tools are shifting. AI is accelerating. And you're being asked to do more, faster, with less. The gap between high performers and everyone else is widening - and it's being driven by one skill: mastering AI-powered sales automation. Staying relevant isn’t about working harder. It’s about working smarter. About knowing how to leverage AI to multiply your outreach, personalise engagement, and convert leads at scale - while others drown in manual follow-ups and outdated techniques. That’s why AI-Powered Sales Automation: Future-Proof Your Career and Outperform the Competition exists. This isn’t another generic course on sales theory. It’s a step-by-step system to take you from overwhelmed and behind to in control, confident, and consistently exceeding targets - in as little as 21 days. Imagine walking into your next revenue review with a fully automated outreach sequence that books 12 meetings per week without you lifting a finger. That’s exactly what Sarah Kim, Senior Account Executive at a SaaS scale-up, achieved - she increased her conversion rate by 47% in under a month using the exact frameworks taught here. This course gives you more than knowledge. It gives you a career-defining edge. A complete, structured path from idea to implementation of intelligent, board-ready sales automation workflows that deliver measurable ROI, with validation through a globally recognised Certificate of Completion. Here’s how this course is structured to help you get there.Course Format & Delivery Details Self-Paced, On-Demand Access with Zero Time Conflicts
This is a self-paced learning experience with immediate online access. There are no fixed dates, no mandatory sessions, and no time zone barriers. You decide when and where you learn, ensuring full compatibility with demanding work schedules and global availability. Most professionals complete the core curriculum in 4 to 6 weeks, dedicating just 60-90 minutes per week. Many implement their first automated sequence within the first 7 days - turning theory into revenue-generating action faster than expected. Lifetime Access with Continuous Updates at No Extra Cost
Enrol once, access forever. Your enrollment includes lifetime access to all course materials, including future updates, new case studies, and evolving AI integration strategies. As tools like LinkedIn Sales Navigator, Salesforce, and AI prospecting platforms evolve, your training evolves with them - at no additional charge. All content is mobile-friendly and accessible 24/7 from any device, whether you're commuting, travelling, or reviewing workflows between calls. The interface is optimised for readability, speed, and seamless navigation, even on smartphones. Direct Guidance + Real Instructor Support
You’re not learning in isolation. This course includes ongoing instructor support through dedicated channels. Ask specific questions about AI prompt engineering, integration roadblocks, or compliance frameworks, and receive detailed, expert guidance - not canned replies. The curriculum is designed by practitioners who’ve built automated pipelines for companies generating $10M+ in annual recurring revenue. You’re learning battle-tested strategies, not hypothetical concepts. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you’ll earn a Certificate of Completion issued by The Art of Service - a globally trusted name in professional training and business innovation. This credential is shareable on LinkedIn, included in email signatures, and recognised by hiring managers worldwide as proof of advanced, applied skills in AI-driven sales transformation. Transparent Pricing with No Hidden Fees
The price you see is the price you pay - one straightforward investment with no hidden fees, recurring charges, or surprise costs. Your access covers the full curriculum, tools, templates, community, and certification process. We accept all major payment methods, including Visa, Mastercard, and PayPal, ensuring secure and frictionless transactions regardless of your location. 100% Satisfied or Refunded - Zero-Risk Enrollment
We back this course with a full money-back guarantee. If you complete the modules, apply the strategies, and don’t find immediate value in the frameworks, templates, and automation blueprints, simply request a refund. No questions asked. Your investment is 100% protected. Will This Work for Me? Let’s Be Clear.
Yes - even if you’ve never built an automation before. Even if your CRM is messy. Even if you’re not technical. The system works because it’s designed for real people in real roles, not AI engineers or data scientists. You’ll follow clear, templated workflows used by sales professionals at enterprise tech firms, startups, and consultancies - whether you’re an Account Executive, Sales Manager, Revenue Operations Specialist, or Founder. This works even if you’re mid-career and worried about being replaced by AI - because this course turns you into the person who controls the AI, not the one replaced by it. After enrollment, you’ll receive a confirmation email. Your access details and login information will be sent separately once your course materials are fully provisioned - ensuring a secure and reliable onboarding experience. Clarity. Safety. Control. Everything you need to move forward with confidence.
Module 1: Foundations of AI in Modern Sales - Understanding the AI revolution in sales and revenue operations
- Differentiating AI automation from traditional CRM workflows
- Key trends shaping the future of buyer engagement
- The role of personalisation at scale using AI
- Debunking the myth: AI replacing salespeople vs empowering them
- Core terminology: NLP, predictive scoring, intent data, generative AI
- Legal and ethical considerations in automated outreach
- Establishing boundaries for AI use in compliance-heavy industries
- Mapping buyer expectations in an AI-augmented world
- Aligning automation with customer experience principles
Module 2: Strategic Frameworks for Intelligent Automation - The Revenue Funnel Reimagined: AI touchpoints at every stage
- Building your AI adoption roadmap: From pilot to enterprise
- The RACI model for assigning AI responsibilities in sales teams
- Measuring success: KPIs that matter in AI-driven sales
- Time-to-value analysis: Calculating ROI on automation investments
- Creating an automation governance framework
- Change management strategies for team-wide AI integration
- Risk assessment: Identifying and mitigating automation failure points
- Aligning AI workflows with sales methodology (MEDDIC, SPIN, Challenger)
- Developing your personal automation value proposition
Module 3: Core Tools and Platform Ecosystems - Comparing leading AI sales tools: Copy.ai, Jasper, Writer, Anyword
- Cold email automation platforms: Smartlead, Apollo, Outreach, Lemlist
- Social selling integrations: LinkedIn automation with compliance safeguards
- CRM connectors: Salesforce, HubSpot, Pipedrive AI features
- Meeting scheduling bots and AI calendar optimisation
- Voice intelligence tools: Gong, Chorus, Avoma for insight extraction
- Data enrichment providers: Clearbit, ZoomInfo, Lusha with AI filtering
- Choosing the right tech stack for your sales motion
- Integration architecture: How tools communicate and share data
- Security protocols for handling contact data in AI systems
Module 4: Building Intelligent Lead Generation Systems - Sourcing high-intent prospects using AI-driven data mining
- Predictive lead scoring models and implementation
- AI-powered firmographic and technographic filtering
- Intent data integration from Bombora and 6sense
- Automated list building with role-specific targeting logic
- Segmenting audiences by behaviour, industry, and engagement
- Trigger-based lead identification: Funding rounds, hiring spikes, leadership changes
- Using AI to qualify leads before human contact
- Automated drip campaigns based on lead lifecycle stage
- Tracking engagement velocity across channels
Module 5: AI-Driven Personalisation at Scale - Dynamic content generation for hyper-relevant messaging
- Building custom voice profiles for brand consistency
- Analysing prospect websites and social profiles using AI summaries
- Generating personalised hooks from news, earnings, job changes
- Context-aware email subject lines using A/B prediction models
- Automated personalisation tiers: From basic to deep customisation
- Using AI to extract pain points from public content
- Generating custom case studies based on prospect industry
- Dynamic follow-up sequences based on response patterns
- Automated content recommendations for nurturing
Module 6: Crafting High-Conversion AI Messaging - Prompt engineering for sales copy: Structuring inputs for best output
- Writing effective seed statements for AI message generation
- Training AI on your best-performing historical emails
- Creating tone templates: Formal, casual, challenger, consultative
- Subject line optimisation using AI prediction algorithms
- Body copy structuring: Problem-agitate-solution with AI
- Automated CTAs tailored to prospect engagement level
- Avoiding spam triggers and inbox filtering with AI copy review
- Multi-channel message adaptation: Email, LinkedIn, SMS
- Testing volume, cadence, and variation using AI insights
Module 7: Designing Automated Outreach Sequences - Sequence architecture: Multi-touch, multi-channel workflows
- Defining escalation paths based on prospect behaviour
- Time-based vs engagement-based triggers for follow-ups
- Automated re-engagement sequences for cold leads
- Bounce handling and email deliverability monitoring
- Suppression lists and opt-out compliance automation
- Handoff rules: When to escalate to human intervention
- Personalised video integration with AI scripting
- Automated meeting booking after response detection
- Integrating chatbots for initial qualification
Module 8: AI-Powered Social Selling Automation - Automated connection requests with context-based personalisation
- AI-generated comment suggestions on prospect posts
- Content sharing automation based on audience interests
- Monitoring triggers: Job changes, promotions, company announcements
- Automated nurture via value-driven content distribution
- AI-assisted LinkedIn InMail personalisation
- Tracking profile view reciprocity and engagement spikes
- Compliance-first automation to avoid platform penalties
- Building visibility through AI-curated content calendars
- Measuring social selling index improvements with automation
Module 9: Integrating AI into CRM and Sales Ops - Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Understanding the AI revolution in sales and revenue operations
- Differentiating AI automation from traditional CRM workflows
- Key trends shaping the future of buyer engagement
- The role of personalisation at scale using AI
- Debunking the myth: AI replacing salespeople vs empowering them
- Core terminology: NLP, predictive scoring, intent data, generative AI
- Legal and ethical considerations in automated outreach
- Establishing boundaries for AI use in compliance-heavy industries
- Mapping buyer expectations in an AI-augmented world
- Aligning automation with customer experience principles
Module 2: Strategic Frameworks for Intelligent Automation - The Revenue Funnel Reimagined: AI touchpoints at every stage
- Building your AI adoption roadmap: From pilot to enterprise
- The RACI model for assigning AI responsibilities in sales teams
- Measuring success: KPIs that matter in AI-driven sales
- Time-to-value analysis: Calculating ROI on automation investments
- Creating an automation governance framework
- Change management strategies for team-wide AI integration
- Risk assessment: Identifying and mitigating automation failure points
- Aligning AI workflows with sales methodology (MEDDIC, SPIN, Challenger)
- Developing your personal automation value proposition
Module 3: Core Tools and Platform Ecosystems - Comparing leading AI sales tools: Copy.ai, Jasper, Writer, Anyword
- Cold email automation platforms: Smartlead, Apollo, Outreach, Lemlist
- Social selling integrations: LinkedIn automation with compliance safeguards
- CRM connectors: Salesforce, HubSpot, Pipedrive AI features
- Meeting scheduling bots and AI calendar optimisation
- Voice intelligence tools: Gong, Chorus, Avoma for insight extraction
- Data enrichment providers: Clearbit, ZoomInfo, Lusha with AI filtering
- Choosing the right tech stack for your sales motion
- Integration architecture: How tools communicate and share data
- Security protocols for handling contact data in AI systems
Module 4: Building Intelligent Lead Generation Systems - Sourcing high-intent prospects using AI-driven data mining
- Predictive lead scoring models and implementation
- AI-powered firmographic and technographic filtering
- Intent data integration from Bombora and 6sense
- Automated list building with role-specific targeting logic
- Segmenting audiences by behaviour, industry, and engagement
- Trigger-based lead identification: Funding rounds, hiring spikes, leadership changes
- Using AI to qualify leads before human contact
- Automated drip campaigns based on lead lifecycle stage
- Tracking engagement velocity across channels
Module 5: AI-Driven Personalisation at Scale - Dynamic content generation for hyper-relevant messaging
- Building custom voice profiles for brand consistency
- Analysing prospect websites and social profiles using AI summaries
- Generating personalised hooks from news, earnings, job changes
- Context-aware email subject lines using A/B prediction models
- Automated personalisation tiers: From basic to deep customisation
- Using AI to extract pain points from public content
- Generating custom case studies based on prospect industry
- Dynamic follow-up sequences based on response patterns
- Automated content recommendations for nurturing
Module 6: Crafting High-Conversion AI Messaging - Prompt engineering for sales copy: Structuring inputs for best output
- Writing effective seed statements for AI message generation
- Training AI on your best-performing historical emails
- Creating tone templates: Formal, casual, challenger, consultative
- Subject line optimisation using AI prediction algorithms
- Body copy structuring: Problem-agitate-solution with AI
- Automated CTAs tailored to prospect engagement level
- Avoiding spam triggers and inbox filtering with AI copy review
- Multi-channel message adaptation: Email, LinkedIn, SMS
- Testing volume, cadence, and variation using AI insights
Module 7: Designing Automated Outreach Sequences - Sequence architecture: Multi-touch, multi-channel workflows
- Defining escalation paths based on prospect behaviour
- Time-based vs engagement-based triggers for follow-ups
- Automated re-engagement sequences for cold leads
- Bounce handling and email deliverability monitoring
- Suppression lists and opt-out compliance automation
- Handoff rules: When to escalate to human intervention
- Personalised video integration with AI scripting
- Automated meeting booking after response detection
- Integrating chatbots for initial qualification
Module 8: AI-Powered Social Selling Automation - Automated connection requests with context-based personalisation
- AI-generated comment suggestions on prospect posts
- Content sharing automation based on audience interests
- Monitoring triggers: Job changes, promotions, company announcements
- Automated nurture via value-driven content distribution
- AI-assisted LinkedIn InMail personalisation
- Tracking profile view reciprocity and engagement spikes
- Compliance-first automation to avoid platform penalties
- Building visibility through AI-curated content calendars
- Measuring social selling index improvements with automation
Module 9: Integrating AI into CRM and Sales Ops - Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Comparing leading AI sales tools: Copy.ai, Jasper, Writer, Anyword
- Cold email automation platforms: Smartlead, Apollo, Outreach, Lemlist
- Social selling integrations: LinkedIn automation with compliance safeguards
- CRM connectors: Salesforce, HubSpot, Pipedrive AI features
- Meeting scheduling bots and AI calendar optimisation
- Voice intelligence tools: Gong, Chorus, Avoma for insight extraction
- Data enrichment providers: Clearbit, ZoomInfo, Lusha with AI filtering
- Choosing the right tech stack for your sales motion
- Integration architecture: How tools communicate and share data
- Security protocols for handling contact data in AI systems
Module 4: Building Intelligent Lead Generation Systems - Sourcing high-intent prospects using AI-driven data mining
- Predictive lead scoring models and implementation
- AI-powered firmographic and technographic filtering
- Intent data integration from Bombora and 6sense
- Automated list building with role-specific targeting logic
- Segmenting audiences by behaviour, industry, and engagement
- Trigger-based lead identification: Funding rounds, hiring spikes, leadership changes
- Using AI to qualify leads before human contact
- Automated drip campaigns based on lead lifecycle stage
- Tracking engagement velocity across channels
Module 5: AI-Driven Personalisation at Scale - Dynamic content generation for hyper-relevant messaging
- Building custom voice profiles for brand consistency
- Analysing prospect websites and social profiles using AI summaries
- Generating personalised hooks from news, earnings, job changes
- Context-aware email subject lines using A/B prediction models
- Automated personalisation tiers: From basic to deep customisation
- Using AI to extract pain points from public content
- Generating custom case studies based on prospect industry
- Dynamic follow-up sequences based on response patterns
- Automated content recommendations for nurturing
Module 6: Crafting High-Conversion AI Messaging - Prompt engineering for sales copy: Structuring inputs for best output
- Writing effective seed statements for AI message generation
- Training AI on your best-performing historical emails
- Creating tone templates: Formal, casual, challenger, consultative
- Subject line optimisation using AI prediction algorithms
- Body copy structuring: Problem-agitate-solution with AI
- Automated CTAs tailored to prospect engagement level
- Avoiding spam triggers and inbox filtering with AI copy review
- Multi-channel message adaptation: Email, LinkedIn, SMS
- Testing volume, cadence, and variation using AI insights
Module 7: Designing Automated Outreach Sequences - Sequence architecture: Multi-touch, multi-channel workflows
- Defining escalation paths based on prospect behaviour
- Time-based vs engagement-based triggers for follow-ups
- Automated re-engagement sequences for cold leads
- Bounce handling and email deliverability monitoring
- Suppression lists and opt-out compliance automation
- Handoff rules: When to escalate to human intervention
- Personalised video integration with AI scripting
- Automated meeting booking after response detection
- Integrating chatbots for initial qualification
Module 8: AI-Powered Social Selling Automation - Automated connection requests with context-based personalisation
- AI-generated comment suggestions on prospect posts
- Content sharing automation based on audience interests
- Monitoring triggers: Job changes, promotions, company announcements
- Automated nurture via value-driven content distribution
- AI-assisted LinkedIn InMail personalisation
- Tracking profile view reciprocity and engagement spikes
- Compliance-first automation to avoid platform penalties
- Building visibility through AI-curated content calendars
- Measuring social selling index improvements with automation
Module 9: Integrating AI into CRM and Sales Ops - Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Dynamic content generation for hyper-relevant messaging
- Building custom voice profiles for brand consistency
- Analysing prospect websites and social profiles using AI summaries
- Generating personalised hooks from news, earnings, job changes
- Context-aware email subject lines using A/B prediction models
- Automated personalisation tiers: From basic to deep customisation
- Using AI to extract pain points from public content
- Generating custom case studies based on prospect industry
- Dynamic follow-up sequences based on response patterns
- Automated content recommendations for nurturing
Module 6: Crafting High-Conversion AI Messaging - Prompt engineering for sales copy: Structuring inputs for best output
- Writing effective seed statements for AI message generation
- Training AI on your best-performing historical emails
- Creating tone templates: Formal, casual, challenger, consultative
- Subject line optimisation using AI prediction algorithms
- Body copy structuring: Problem-agitate-solution with AI
- Automated CTAs tailored to prospect engagement level
- Avoiding spam triggers and inbox filtering with AI copy review
- Multi-channel message adaptation: Email, LinkedIn, SMS
- Testing volume, cadence, and variation using AI insights
Module 7: Designing Automated Outreach Sequences - Sequence architecture: Multi-touch, multi-channel workflows
- Defining escalation paths based on prospect behaviour
- Time-based vs engagement-based triggers for follow-ups
- Automated re-engagement sequences for cold leads
- Bounce handling and email deliverability monitoring
- Suppression lists and opt-out compliance automation
- Handoff rules: When to escalate to human intervention
- Personalised video integration with AI scripting
- Automated meeting booking after response detection
- Integrating chatbots for initial qualification
Module 8: AI-Powered Social Selling Automation - Automated connection requests with context-based personalisation
- AI-generated comment suggestions on prospect posts
- Content sharing automation based on audience interests
- Monitoring triggers: Job changes, promotions, company announcements
- Automated nurture via value-driven content distribution
- AI-assisted LinkedIn InMail personalisation
- Tracking profile view reciprocity and engagement spikes
- Compliance-first automation to avoid platform penalties
- Building visibility through AI-curated content calendars
- Measuring social selling index improvements with automation
Module 9: Integrating AI into CRM and Sales Ops - Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Sequence architecture: Multi-touch, multi-channel workflows
- Defining escalation paths based on prospect behaviour
- Time-based vs engagement-based triggers for follow-ups
- Automated re-engagement sequences for cold leads
- Bounce handling and email deliverability monitoring
- Suppression lists and opt-out compliance automation
- Handoff rules: When to escalate to human intervention
- Personalised video integration with AI scripting
- Automated meeting booking after response detection
- Integrating chatbots for initial qualification
Module 8: AI-Powered Social Selling Automation - Automated connection requests with context-based personalisation
- AI-generated comment suggestions on prospect posts
- Content sharing automation based on audience interests
- Monitoring triggers: Job changes, promotions, company announcements
- Automated nurture via value-driven content distribution
- AI-assisted LinkedIn InMail personalisation
- Tracking profile view reciprocity and engagement spikes
- Compliance-first automation to avoid platform penalties
- Building visibility through AI-curated content calendars
- Measuring social selling index improvements with automation
Module 9: Integrating AI into CRM and Sales Ops - Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Syncing AI interactions with CRM activity logs
- Automated data entry from email and call insights
- AI-driven activity recommendations for next steps
- Forecasting accuracy improvements using AI insights
- Automated deal stage progression rules
- Creating AI-powered sales dashboards
- Revenue operations reporting with predictive analytics
- Automating sales playbook adherence checks
- Integrating AI scoring into pipeline reviews
- Building feedback loops between sales and AI systems
Module 10: Real-Time Sales Coaching with AI - Analysing call transcripts for coaching opportunities
- Identifying knowledge gaps from rep conversations
- Automated feedback on talk-to-listen ratios
- Sentiment analysis for customer emotion detection
- AI-generated coaching summaries after each call
- Detecting objections and suggesting rebuttals in real time
- Performance benchmarking across the sales team
- Automated skill development plans based on gaps
- Onboarding acceleration using AI playbooks
- Reducing ramp time for new hires by 50% or more
Module 11: Advanced AI Prompt Engineering for Sales - The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- The anatomy of a high-performance sales prompt
- Using few-shot learning to guide AI output
- Chain-of-thought prompting for complex reasoning
- Role-playing prompts: Act as a CRO advising a founder
- Iterative refinement techniques for message quality
- Guardrailing prompts to prevent hallucinations
- Context injection: Adding deal-specific intelligence
- Batch prompting for scalable message creation
- Automating prompt versioning and testing
- Building your personal prompt library for instant reuse
Module 12: Predictive Sales Analytics and Forecasting - Building custom predictive models without coding
- Using historical win/loss data to train AI models
- Identifying at-risk deals using behavioural signals
- Forecasting close probability with confidence intervals
- Automated early warning systems for stalled opportunities
- Revenue leak detection using anomaly identification
- Seasonality and market trend adjustments in forecasts
- Dashboards integrating AI predictions with human insights
- Scenario planning: What if we increase outreach by 30%?
- Validating model accuracy over time with real outcomes
Module 13: AI for Account-Based Selling - Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Identifying target accounts using AI intent signals
- Mapping decision-making units with AI organisational analysis
- Generating multi-threaded outreach campaigns
- Tracking engagement across multiple stakeholders
- Automated relationship warmth scoring
- Creating AI-powered battlecards for key accounts
- Custom content generation for specific account challenges
- Orchestrating cross-functional engagement (sales, marketing, CS)
- Identifying expansion opportunities within existing clients
- Tracking account health scores with AI synthesis
Module 14: AI-Driven Negotiation Intelligence - Analysing concession patterns across deals
- AI-assisted pricing strategy recommendations
- Detecting negotiation leverage points from conversation data
- Automated objection handling libraries
- Simulating negotiation scenarios using AI role play
- Identifying emotional triggers in buyer language
- Timing recommendations for contract pushes
- Historical comparison of similar deals
- AI-generated negotiation prep briefs
- Minimising discounting through data-driven positioning
Module 15: Scaling Enterprise Automation - Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Centralised vs decentralised automation models
- Building an AI Centre of Excellence for sales
- Standardising templates across regions and segments
- Automated compliance and audit trails
- Change management for large-scale rollouts
- Training programmes for AI adoption
- Measuring team-wide adoption and usage rates
- Performance benchmarking across geographies
- Scaling best practices using AI coaching
- Continuous improvement through feedback automation
Module 16: Hands-On Implementation Lab - Setting up your first AI automation stack
- Connecting tools using Zapier and Make workflows
- Testing deliverability and inbox placement
- Building a 7-touch email sequence from scratch
- Integrating AI copy into your CRM workflow
- Creating dynamic variables for personalisation
- Configuring tracking and attribution settings
- Defining success metrics and baselines
- Running a controlled A/B test on messaging variants
- Analysing results and iterating based on performance
Module 17: Real-World Projects and Case Studies - Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios
Module 18: Career Advancement and Certification - Building your personal brand as an AI-savvy sales professional
- Updating your LinkedIn profile with AI automation achievements
- Creating a portfolio of automated campaigns (anonymised)
- Negotiating higher compensation using AI leverage
- Transitioning into sales strategy, RevOps, or leadership roles
- Preparing for AI-focused interviews and assessments
- Contributing to AI adoption strategies at your company
- Becoming the go-to expert on automated revenue growth
- Earning your Certificate of Completion from The Art of Service
- Accessing exclusive alumni resources and job board connections
- Project 1: AI-powered lead gen for a B2B SaaS startup
- Project 2: Reviving dormant leads with re-engagement automation
- Project 3: Building an account-based motion for enterprise sales
- Case study: 68% increase in meeting bookings using AI sequences
- Case study: 3x faster onboarding with AI coaching tools
- Case study: Reducing time spent on admin by 12 hours per week
- Template library: 50+ proven message frameworks
- Sequence blueprints: Industry-specific workflows
- Negotiation scripts generated and validated by AI
- Customisable playbooks for common sales scenarios