A tailored course, built for your situation
Fix the AI Governance Spreadsheet That Breaks Every Month
A 12-module system to automate compliance tracking for enterprise AI rollouts
$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.
The AI governance tracker that breaks every month and costs 30+ hours to rebuild
The situation this course is for
Every rollout cycle, the AI governance spreadsheet fails, missing new model entries, duplicating controls, breaking during stakeholder review. You or your team spend days reconciling it, pulling the same data from different sources, reformatting for different audiences, and chasing sign-offs. It delays client deliverables, creates version confusion, and increases control risk. This isn’t a data problem, it’s a design problem. The tracker was never built to scale with real-world AI deployment velocity.
Who this is for
Senior AI or Data leader in a global services firm, accountable for on-time, auditable AI governance across multiple client or internal programs
Who this is not for
Individual contributors managing standalone projects, consultants using one-off templates, or teams still in AI pilot phases without recurring governance cycles
What you walk away with
- Replace the fragile spreadsheet with a repeatable, self-documenting governance tracking system
- Cut 70% of manual reconciliation time in AI control logging
- Eliminate version drift across stakeholder reports
- Deploy a living compliance log that updates with model changes
- Deliver audit-ready governance packages in under two hours
The 12 modules (with all 144 chapters)
Module 1. Map Your Current Governance Gaps
Identify exactly where your tracking system fails, data sources, handoffs, audit touchpoints, and document the cost of each breakdown.
12 chapters in this module
- List all AI models in active tracking
- Log every stakeholder who uses the tracker
- Identify the three most common errors
- Track time spent on weekly updates
- Map data sources feeding the tracker
- Find where version control fails
- Document audit rejection reasons
- Pinpoint manual override points
- Assess tool compatibility gaps
- Record reconciliation frequency
- Measure sign-off delays
- Highlight ownership ambiguities
Module 2. Design the Single Source of Truth
Build a centralized governance log structure that pulls data once and serves all reporting needs without duplication.
12 chapters in this module
- Define core data fields for all models
- Choose primary ownership per entry
- Set update trigger events
- Design status flags
- Build change history rules
- Assign validation checkpoints
- Create audit trail requirements
- Integrate control mapping
- Standardize naming conventions
- Automate timestamping
- Link to risk ratings
- Embed review cycles
Module 3. Automate Data Ingest from AI Pipelines
Connect your governance log to model registries, MLOps tools, and deployment logs to eliminate manual entry.
12 chapters in this module
- Identify exportable pipeline metadata
- Map MLOps events to log fields
- Set up API connections
- Test model registration sync
- Capture training data lineage
- Log inference environment changes
- Track retraining triggers
- Pull performance metrics automatically
- Flag model drift events
- Integrate CI/CD hooks
- Validate payload accuracy
- Monitor connection uptime
Module 4. Build Self-Updating Control Reports
Generate stakeholder-specific views that refresh in real time from the central log, eliminating manual formatting.
12 chapters in this module
- List report types by audience
- Define executive summary fields
- Extract compliance status flags
- Generate control coverage stats
- Auto-populate risk exposure tables
- Create client-facing summaries
- Build internal audit views
- Filter by deployment environment
- Highlight overdue reviews
- Show control gap trends
- Export to PDF automatically
- Schedule email delivery
Module 5. Implement Change Validation Workflows
Ensure every model update triggers the right reviews, evidence collection, and approvals without oversight gaps.
12 chapters in this module
- Map model change types
- Assign review roles per change
- Set evidence requirements
- Build approval chains
- Log reviewer feedback
- Track resolution status
- Flag high-risk changes
- Auto-notify stakeholders
- Enforce pre-deployment checks
- Archive decision rationale
- Trigger re-certification
- Close update loops
Module 6. Eliminate Version Drift Across Teams
Stop conflicting versions by enforcing a single access point and clear update protocols.
12 chapters in this module
- Centralize access permissions
- Disable local copies
- Set read-only views
- Log download events
- Define update windows
- Assign edit rights
- Track user activity
- Enforce update logs
- Alert on shadow versions
- Audit access weekly
- Rotate credentials
- Backup daily
Module 7. Scale Across Multiple AI Programs
Extend the system to handle parallel rollouts without adding overhead.
12 chapters in this module
- Template the governance log
- Clone for new programs
- Customize per client rules
- Isolate data by program
- Share cross-program metrics
- Standardize review timelines
- Pool reviewer capacity
- Track program health
- Compare control maturity
- Benchmark cycle times
- Align taxonomy
- Consolidate reporting
Module 8. Integrate with Client Audit Requirements
Pre-load client-specific compliance rules and generate audit-ready packages on demand.
12 chapters in this module
- Catalog client audit standards
- Map controls to requirements
- Tag evidence by standard
- Build audit request templates
- Generate compliance matrices
- Assemble evidence dossiers
- Pre-fill auditor questionnaires
- Highlight exceptions
- Track response deadlines
- Log client feedback
- Update based on findings
- Archive final packages
Module 9. Reduce Manual Reconciliation to Zero
Replace cross-checking with automated validation rules and real-time alerts.
12 chapters in this module
- List common reconciliation tasks
- Define validation rules
- Build data consistency checks
- Set threshold alerts
- Auto-flag mismatches
- Assign resolution owners
- Log fix actions
- Track error recurrence
- Test rule accuracy
- Optimize false positives
- Schedule rule reviews
- Document logic
Module 10. Deliver Governance at Client Speed
Cut reporting lead time from days to hours to meet fast-moving client delivery cycles.
12 chapters in this module
- Map client reporting deadlines
- Pre-load draft content
- Automate data pulls
- Set pre-review triggers
- Assign drafting roles
- Streamline feedback loops
- Enable parallel reviews
- Track approval status
- Generate final versions
- Log delivery confirmations
- Capture client comments
- Update based on feedback
Module 11. Secure Executive Confidence in Controls
Produce clear, consistent summaries that give leadership visibility without complexity.
12 chapters in this module
- Define leadership concerns
- Build risk heat maps
- Show control coverage
- Highlight critical gaps
- Track remediation progress
- Summarize audit results
- Report maturity trends
- Compare to benchmarks
- Flag emerging risks
- Show resource impact
- Link to strategic goals
- Update monthly
Module 12. Sustain the System Without Burnout
Put ownership, monitoring, and improvement loops in place to keep the system running long-term.
12 chapters in this module
- Assign system ownership
- Train backup owners
- Schedule health checks
- Review usage metrics
- Collect user feedback
- Prioritize improvements
- Update documentation
- Run quarterly audits
- Refresh integrations
- Optimize performance
- Celebrate wins
- Report ROI
How this maps to your situation
- After the first audit fails due to missing entries
- When the tracker breaks during leadership review
- Once the team spends more than 10 hours weekly on updates
- Before the next major client AI rollout begins
Before vs. after
Before
Spending 30+ hours monthly fixing a broken AI governance tracker, chasing data, reconciling versions, and delaying client reports.
After
Running a self-updating governance log that delivers accurate, audit-ready reports in hours, without manual rework.
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 to complete core modules, with implementation taking 2-3 weeks using provided templates.
If nothing changes
Continuing to rely on manual tracking increases control failures, delays client deliverables, and exposes the organization to avoidable compliance gaps, all while consuming high-value team time.
How this compares to the alternatives
Consulting fixes cost $15k+ and take months. Off-the-shelf tools require IT procurement and don’t fit consulting workflows. This course delivers a custom, deployable system in days for less than a single engineering day rate.
Frequently asked
Is this about building a new software tool?
No. It’s about designing a lightweight, automated governance tracking system using existing tools like Excel, Airtable, or Google Sheets, just structured and connected the right way.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work for client-facing AI projects?
Yes. The system is designed specifically for consulting environments where governance must be consistent, auditable, and adaptable across multiple clients.
$199 one-time. 6-8 hours to complete core modules, with implementation taking 2-3 weeks using provided templates..
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