A tailored course, built for your situation
The RevOps Leader’s Playbook: AI-Driven Pipeline & Forecasting Precision
Fix pipeline hygiene, forecasting gaps, and GTM execution with AI-powered systems built for B2B SaaS leaders.
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Your pipeline looks healthy , but forecasting still feels like guessing.
The situation this course is for
You've built processes, but AI is rewriting the rules of lead flow, scoring, and conversion. Marketing says MQLs are up. Sales says pipeline is thin. Forecasting feels broken. The gap isn't effort , it's system design. Without a unified, AI-aware RevOps engine, revenue teams keep misaligning, miss targets, and lose credibility. This isn't a people problem , it's a structure problem.
Who this is for
B2B SaaS RevOps leaders, fractional operators, and GTM strategists who own forecasting accuracy, pipeline health, and cross-functional execution.
Who this is not for
Individual contributors focused only on tool admin, junior analysts, or teams without cross-functional influence.
What you walk away with
- Diagnose hidden pipeline leakage using AI-aware funnel analytics
- Align marketing and sales on a shared, adaptive definition of 'qualified'
- Build forecasting models that reflect real conversion behavior, not just historical averages
- Deploy AI-triggered workflows that improve handoff speed and quality
- Create a living GTM system that evolves with market signals
The 12 modules (with all 144 chapters)
Module 1. The State of RevOps in the AI Era
Understand how AI agents and autonomous workflows are disrupting traditional RevOps models. Identify where legacy systems fail and where new leverage exists.
12 chapters in this module
- AI's revenue impact
- From funnels to flywheels
- RevOps vs. RevTech
- Signal vs. noise
- Pipeline decay
- Forecasting drift
- Role fragmentation
- Tool sprawl
- Data silos
- Misaligned incentives
- Scoring failures
- Handoff breakdowns
Module 2. Diagnosing Pipeline Leakage
Map where leads stall, degrade, or disappear between touchpoints. Use behavioral analytics to pinpoint friction and drop-off patterns.
12 chapters in this module
- Touchpoint mapping
- Time-to-next-step
- Engagement decay
- Intent drop
- Channel conflict
- Handoff latency
- Data gaps
- Scoring drift
- Activity decay
- Conversion cliffs
- Lead aging
- Pipeline amnesia
Module 3. Redefining Lead Qualification
Move beyond MQLs and SQLs. Build dynamic, behavior-based definitions that reflect real buying momentum.
12 chapters in this module
- Behavioral thresholds
- Intent signals
- Engagement clusters
- Progress scoring
- Activity decay
- Touchpoint weighting
- Contextual triggers
- AI pattern detection
- Lead momentum
- Conversion predictors
- Scoring recalibration
- Threshold tuning
Module 4. AI-Powered Forecasting Models
Replace static models with adaptive forecasting that learns from real-time conversion data and market shifts.
12 chapters in this module
- Historical vs. adaptive
- Conversion velocity
- Deal progression
- Stage regression
- AI confidence scoring
- Pipeline aging
- Win rate drift
- Deal size shifts
- Market signal input
- Model recalibration
- Forecast variance
- Confidence bands
Module 5. Building AI-Triggered Workflows
Design workflows that activate based on behavioral shifts, not just form fills. Increase handoff quality and speed.
12 chapters in this module
- Behavior triggers
- AI nudges
- Handoff automation
- Routing logic
- Activity escalation
- Engagement loops
- Feedback integration
- Task decay
- Follow-up fatigue
- Workflow fatigue
- AI handoff
- Human-in-the-loop
Module 6. Aligning Marketing & Sales Incentives
Fix misalignment by tying compensation and goals to shared outcomes, not siloed KPIs.
12 chapters in this module
- Shared KPIs
- Revenue ownership
- Compensation design
- Lead follow-through
- Quality feedback
- Blameless reviews
- Joint goals
- Cycle time
- Conversion accountability
- Data transparency
- Feedback loops
- Trust metrics
Module 7. Data Architecture for RevOps
Design a clean, connected data foundation that supports AI inputs and real-time decisioning.
12 chapters in this module
- Source of truth
- Data hygiene
- Field discipline
- ETL rules
- Sync frequency
- Data ownership
- Cleanse workflows
- Validation rules
- Enrichment strategy
- AI input layers
- Golden record
- Data debt
Module 8. Tool Stack Optimization
Audit and simplify your stack to reduce noise and increase signal clarity across platforms.
12 chapters in this module
- Tool sprawl
- Integration debt
- Alert fatigue
- Reporting lag
- Single pane view
- API health
- Data sync checks
- UI clutter
- Permission sprawl
- Usage gaps
- License waste
- Tool rationalization
Module 9. Change Management for GTM Teams
Lead adoption of new systems without resistance. Build trust and clarity during transition.
12 chapters in this module
- Stakeholder mapping
- Communication rhythm
- Pilot groups
- Feedback channels
- Training cadence
- Role clarity
- Process documentation
- Adoption metrics
- Resistance signals
- Win sharing
- Momentum building
- Leadership alignment
Module 10. Scaling Forecast Accuracy
Implement processes that improve forecast reliability at every level , from rep to CRO.
12 chapters in this module
- Forecast discipline
- Stage gates
- Deal reviews
- Commit vs. best case
- Pipeline coverage
- Deal aging
- Win rationale
- Competitor input
- Customer intent
- Deal progression
- Forecast recalibration
- Leadership review
Module 11. Building the Living GTM System
Create a self-updating GTM engine that learns from every deal and adapts in real time.
12 chapters in this module
- Feedback loops
- AI learning
- Model updates
- Process iteration
- Data refinement
- Behavior adaptation
- System alerts
- Performance drift
- Market sensing
- Auto-tuning
- Human oversight
- System maturity
Module 12. Leading the RevOps Evolution
Position yourself as the architect of revenue integrity, not just process management.
12 chapters in this module
- Strategic influence
- Cross-functional trust
- Data storytelling
- Credibility building
- Initiative prioritization
- Resource negotiation
- Outcome focus
- Visibility balance
- Risk anticipation
- Adaptive leadership
- GTM vision
- Legacy transition
How this maps to your situation
- You're seeing more leads but closing less
- Forecasting feels unreliable despite process rigor
- Marketing and sales keep blaming each other
- AI tools are being adopted haphazardly across teams
Before vs. after
Before
Pipeline looks full but forecasting is unreliable, teams are misaligned, and AI adoption is chaotic.
After
You lead a unified, adaptive GTM system where data flows cleanly, forecasting is trusted, and AI works for you , not against you.
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: 6-8 hours per module , designed for integration into real-world workflows, not just theory.
If nothing changes
Without a modern RevOps foundation, AI will amplify existing gaps , making forecasting less reliable, handoffs slower, and misalignment worse. The longer you wait, the harder it becomes to regain control.
How this compares to the alternatives
Unlike generic RevOps courses, this is built for the AI shift , with specific frameworks for pipeline hygiene, forecasting integrity, and GTM alignment that most overlook. No other course combines behavioral diagnostics with adaptive modeling and implementation-grade tooling.
Frequently asked
Who is this course for?
RevOps leaders, fractional operators, and GTM strategists in B2B SaaS who own forecasting, pipeline health, and cross-functional execution.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a money-back guarantee?
Yes, 30-day money-back guarantee if the course doesn’t meet expectations.
$199 one-time. 6-8 hours per module , designed for integration into real-world workflows, not just theory..
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·
144 chapters·
Hand-built playbook included·
Account access within 24 hours