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OPS0373 Mastering Revenue Operations in the Age of Intelligent Automation

$199.00
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The Executive Diagnostic and Governance Toolkit

Mastering Revenue Operations in the Age of Intelligent Automation

Score your own function red, amber or green, find out which part is weakest, and walk into the next budget round able to defend what you want to fix. Built for leaders reviewing Revenue operations and sales development.

$199 one-time
30-day money-back guarantee Verified against latest insights, updated access provided within 24h

Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

What you walk out with
A scored, ranked picture of your own function, and a defensible answer to what to fix first.
1 You stop guessing where you stand.
You finish with a score, not an opinion: every part of your function rated red, amber or green, with the weakest ranked first. Evidence: a Quick Scan for the shape of it, then seven domain assessments of 30 scored questions each, 210 in all, rolled into one scorecard, plus a maturity radar and a current-versus-target gap analysis.
2 You can defend the decision.
You walk into the budget round with the gap named, the owner named and done defined, instead of a case built on instinct. Evidence: project charter, scope statement, RACI, requirements traceability and work breakdown structure, pre-filled in your domain's language.
3 The work actually moves.
The month after the decision is already built, so nothing stalls waiting for someone to design a form. Evidence: more than 60 project templates across all five PMBOK process groups, plus runbooks, SOPs, a KPI framework, audit checklists and a risk matrix. 55 to 65 files in total.
4 You use it the day it lands.
No blank templates to interpret. Every workbook opens with what it is, who uses it, when, how, a 1 to 5 scoring guide, what good looks like, and a worked example you delete and type over.
The Quick Scan is one sitting. You will know your weakest area before the day is out.
Nothing in it is generic project management: the build rejects any file that could belong to another course. Updated after you enrol, so it reflects where the work stands now. The 144-chapter course is included behind it, for the parts you want to go deeper on.
You're expected to lead a function that's being rebuilt beneath you—without a diagnostic to tell you where you stand.

The situation this is built for

Revenue operations teams are no longer just configuring CRMs and tracking pipeline. They now operate alongside systems that remember every call, auto-populate records, and surface insights without human prompting. The work has changed. Meetings like forecast reviews, deal reviews, and onboarding sessions now occur in environments where data is continuously generated and interpreted by intelligent agents. Yet there's no clear framework to assess whether your team is leading this shift or reacting to it. You need to know where your function is truly mature, where it's exposed, and how to evolve—not just adopt tools, but refine the work itself.

Who this is for

Head of Revenue Operations in a growth-stage B2B company, responsible for pipeline integrity, sales process enforcement, and cross-functional alignment between sales, marketing, and customer success.

Who this is not for

This is not for sales reps, marketing managers, or executives looking for high-level trends. It's for operators who own the machinery of revenue and must now lead through its transformation.

What you walk away with

  • Diagnose your revenue operations maturity across automation, data governance, and process fidelity
  • Identify where intelligent systems are redefining core responsibilities in sales development
  • Reframe leadership meetings to account for system-generated operational memory
  • Build a playbook for maintaining human oversight in an autonomous revenue environment
  • Align team structure and rituals to a future where CRM updates itself

How this maps to your situation

  • Diagnosing current state maturity
  • Governance in autonomous systems
  • Team role evolution under automation
  • Strategic adaptation planning

Before vs. after

Before
You're reacting to changes in how revenue operations functions operate, unsure where your team stands or how to lead through invisible automation.
After
You have a clear diagnostic of your team's maturity and a tailored roadmap to lead revenue operations with confidence in an era of intelligent systems.

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed to be completed at your pace over 8 to 12 weeks. Includes reflection exercises and diagnostic templates to apply directly to your environment.

If nothing changes
Without a clear assessment framework, your team will default to reactive mode, losing strategic influence as intelligent systems reshape workflows without governance. Misalignment, data drift, and erosion of process integrity will accelerate.

How this compares to the alternatives

Unlike generic operations courses or vendor-led training, this program focuses exclusively on the operator's diagnostic and leadership role. It does not teach tool usage but instead builds the judgment required to assess, govern, and evolve revenue operations as intelligent systems become embedded in daily workflows.

Also included: the full course, for when you want the reasoning behind a finding (12 modules, 144 chapters)

Depth reference. The diagnostic and the templates stand on their own; this is what to read when you want the reasoning behind a finding.

Module 1. The Shifting Foundation of Revenue Operations
Understand how intelligent systems are altering the core assumptions of revenue operations work.
12 chapters in this module
  1. How automation is redefining the role of revenue operations
  2. The evolution from manual data entry to self-updating systems
  3. Identifying the new sources of pipeline intelligence
  4. Recognizing when systems begin to influence decision making
  5. Mapping where human judgment still dominates the workflow
  6. Assessing the erosion of manual process enforcement
  7. Understanding the shift from data input to data curation
  8. Diagnosing reliance on system-generated meeting briefs
  9. Tracking the decline of manual CRM hygiene rituals
  10. Evaluating the impact of auto-generated follow-ups
  11. Measuring the reduction in admin time across sales teams
  12. Defining what operational leadership means now
Module 2. Diagnosing Current State Maturity
A structured method to assess where your revenue operations function stands today.
12 chapters in this module
  1. Building a baseline assessment of process adherence
  2. Measuring consistency in opportunity stage definitions
  3. Auditing accuracy of deal desk inputs and outputs
  4. Evaluating forecast accuracy across leadership tiers
  5. Reviewing sales development representative activity logs
  6. Assessing calendar sync fidelity across teams
  7. Testing integration between call platforms and CRM
  8. Validating source attribution for closed-won deals
  9. Benchmarking lead response time across channels
  10. Analyzing handoff completeness from marketing to sales
  11. Inspecting data decay rates in active opportunities
  12. Rating the completeness of contact and account records
Module 3. The New Data Supply Chain
Trace how data now flows from interactions to insights without human intervention.
12 chapters in this module
  1. Mapping the journey from call recording to CRM field
  2. Identifying touchpoints where data is automatically captured
  3. Understanding how voice analytics populate activity logs
  4. Tracing calendar events into deal timeline entries
  5. Reviewing email metadata integration into contact profiles
  6. Assessing automatic note summarization accuracy
  7. Evaluating source tagging from multi-channel outreach
  8. Monitoring data propagation from mobile devices
  9. Auditing background data enrichment triggers
  10. Detecting gaps in automated data lineage
  11. Validating real-time sync across platforms
  12. Documenting exceptions to automatic data flow
Module 4. Governance in an Autonomous Environment
Establish oversight when systems act without explicit human direction.
12 chapters in this module
  1. Defining ownership of system-generated records
  2. Setting standards for auto-populated meeting summaries
  3. Creating protocols for correcting AI-generated notes
  4. Establishing review cycles for algorithmic recommendations
  5. Designing escalation paths for data conflicts
  6. Implementing audit trails for automated actions
  7. Requiring source attribution for system-surfaced insights
  8. Enforcing accountability for self-updating pipelines
  9. Building version control for dynamic deal profiles
  10. Maintaining data provenance across integrations
  11. Certifying accuracy of machine-curated account timelines
  12. Developing response workflows for false positives
Module 5. Redefining Sales Development Workflows
Rebuild playbooks for teams operating alongside intelligent assistants.
12 chapters in this module
  1. Adapting outreach sequences for auto-documented activity
  2. Revising call scripts to align with voice capture
  3. Updating lead qualification criteria for system inputs
  4. Integrating auto-generated insights into discovery calls
  5. Designing follow-up cadences that complement AI
  6. Adjusting handoff timing based on system signals
  7. Reframing role expectations for reduced admin load
  8. Retraining SDRs on insight interpretation skills
  9. Modifying KPIs to reflect autonomous activity
  10. Aligning coaching frameworks with system outputs
  11. Revising onboarding to include AI collaboration
  12. Measuring effectiveness in a partially autonomous workflow
Module 6. Forecasting in the Era of System Memory
Lead forecast reviews when historical context is instantly retrievable.
12 chapters in this module
  1. Preparing for forecast calls with auto-briefs
  2. Validating system-generated deal progression logic
  3. Assessing confidence in AI-suggested close dates
  4. Reviewing historical deal comparisons surfaced automatically
  5. Challenging assumptions in machine-recommended forecasts
  6. Maintaining human override authority in projections
  7. Aligning leadership on interpretation of system data
  8. Detecting pattern bias in historical analogs
  9. Incorporating qualitative factors beyond system scope
  10. Documenting rationale for deviations from AI input
  11. Training leaders to question automated narratives
  12. Building consensus when systems disagree with reps
Module 7. Pipeline Integrity and System Influence
Ensure pipeline accuracy when intelligent systems suggest next steps.
12 chapters in this module
  1. Auditing stage progression triggers for automation
  2. Evaluating system recommendations for deal advancement
  3. Detecting false momentum from auto-logged activity
  4. Validating deal size adjustments from system input
  5. Reviewing contact engagement scores for accuracy
  6. Assessing risk flags generated by behavioral analytics
  7. Monitoring AI-suggested next steps for relevance
  8. Testing human override mechanisms in pipeline reviews
  9. Ensuring compliance with revenue recognition rules
  10. Tracking anomalies in velocity metrics
  11. Identifying manipulation of system-driven workflows
  12. Enforcing manual validation checkpoints
Module 8. Team Structure and Role Evolution
Realign roles and responsibilities as automation absorbs routine tasks.
12 chapters in this module
  1. Redefining SDR responsibilities in an AI environment
  2. Reallocating time from admin to insight generation
  3. Creating hybrid roles for human-AI collaboration
  4. Upskilling teams on data interpretation skills
  5. Adjusting performance metrics for new workflows
  6. Redesigning career paths in a reduced-admin world
  7. Refocusing manager time on strategic oversight
  8. Rebalancing headcount based on automation gains
  9. Establishing centers of excellence for AI use
  10. Developing certification for system proficiency
  11. Introducing feedback loops for tool improvement
  12. Planning for continuous role iteration
Module 9. Change Management for Invisible Systems
Lead adoption when changes occur without visible interface updates.
12 chapters in this module
  1. Communicating updates to systems that run in background
  2. Training teams on passive data capture implications
  3. Building trust in silently updated CRM records
  4. Managing resistance to reduced control over logging
  5. Explaining algorithmic recommendations to field teams
  6. Creating forums for feedback on system behavior
  7. Documenting changes to implicit workflows
  8. Running simulations of system-driven scenarios
  9. Developing playbooks for system failure modes
  10. Instituting regular review of AI decision patterns
  11. Publishing system performance metrics to teams
  12. Aligning incentives with system-assisted outcomes
Module 10. Building the Human Oversight Layer
Design the checks and balances that preserve human leadership.
12 chapters in this module
  1. Establishing review thresholds for AI-generated inputs
  2. Creating escalation protocols for questionable data
  3. Implementing manual validation gates in key workflows
  4. Designing dashboards for system behavior monitoring
  5. Setting up anomaly detection for auto-updated fields
  6. Requiring human sign-off on critical deal changes
  7. Building audit schedules for algorithmic outputs
  8. Developing override procedures for misaligned recommendations
  9. Enforcing documentation standards for system interactions
  10. Instituting peer review for high-impact decisions
  11. Maintaining version history for AI-modified records
  12. Preserving manual workflow options as fallback
Module 11. Strategic Alignment Across Functions
Reconnect revenue operations with marketing, sales, and success in an automated world.
12 chapters in this module
  1. Aligning data definitions across automated systems
  2. Synchronizing handoff criteria with AI capabilities
  3. Coordinating on shared metrics with marketing ops
  4. Integrating customer success signals into pipeline
  5. Building cross-functional feedback loops for AI
  6. Aligning on attribution models in auto-tagged environments
  7. Revising SLAs based on system-driven response times
  8. Creating joint playbooks for system-identified risks
  9. Developing shared language for AI-generated insights
  10. Establishing governance for cross-platform automation
  11. Reviewing quarterly business results with system context
  12. Planning roadmap alignment across intelligent tools
Module 12. Creating Your Adaptive Roadmap
Synthesize insights into a living strategy for revenue operations leadership.
12 chapters in this module
  1. Assessing organizational readiness for change
  2. Prioritizing workflow adaptations based on risk
  3. Sequencing automation integration by team maturity
  4. Building a feedback mechanism for system performance
  5. Designing iterative improvement cycles
  6. Integrating external benchmarks into planning
  7. Developing communication strategy for leadership
  8. Creating quarterly review rituals for system impact
  9. Establishing metrics for human-AI collaboration
  10. Documenting assumptions for future state design
  11. Planning for skill development across teams
  12. Finalizing your 12-month adaptive roadmap

Frequently asked

Who is this course designed for?
This course is for Heads of Revenue Operations who own pipeline integrity, sales process enforcement, and cross-functional alignment in B2B environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover specific software tools?
No. This course does not reference or depend on any specific vendor, platform, or technology. It focuses on the operational work and leadership decisions.
What deliverables come with the course?
You receive downloadable templates for each module and a hand-built implementation playbook tailored to your diagnostic results.
Can I apply this if my company uses different systems?
Yes. The frameworks are system-agnostic and based on the underlying work of revenue operations, not specific integrations.
What formats do the templates come in?
The implementation playbook downloads as PDF and editable XLSX. The course reads in your learning environment and exports to PDF for offline use. The files are yours to keep.
Can I share this with my team?
The licence is per person. Team pricing opens from three seats: reply to the order confirmation with TEAM and we will set it up.
How quickly can I start?
The diagnostic is one sitting and the templates work straight out of the kit. Account access takes up to 24 hours rather than being instant, because every order is checked and updated against the latest sources before it is delivered.
$199 one-time. Approximately 3 hours per module, designed to be completed at your pace over 8 to 12 weeks. Includes reflection exercises and diagnostic templates to apply directly to your environment..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee·Know your weakest area today·210 scored questions·Course included· Account access within 24 hours
30-day money-back guarantee, no questions asked.
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