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Fix the AI Governance Spreadsheet That Breaks Every Week

$199.00
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What is the Fix the AI Governance Spreadsheet That course about?

Every Monday, another model update breaks the shared governance log. Columns get misaligned, ownership fields go stale, review deadlines are missed. You reassemble it manually, again, because no system yet connects engineering velocity to compliance requirements in real time.

What situation is the Fix the AI Governance Spreadsheet That for?

Every Monday, another model update breaks the shared governance log. Columns get misaligned, ownership fields go stale, review deadlines are missed. You reassemble it manually, again, because no system yet connects engineering velocity to compliance requirements in real time.

What do you take away from the Fix the AI Governance Spreadsheet That course?

Replace manual tracking with an automated, living AI governance log Reduce weekly governance meeting prep from 6 hours to under 60 minutes Prevent control gaps caused by model version drift or ownership ambiguity Integrate AI risk checks directly into CI/CD pipelines Produce real-time dashboards for leadership without manual data entry.

How does this map to your situation?

After the first model audit When the spreadsheet breaks for the third time Before a new AI product launch Once leadership asks for status.

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.

What does the Fix the AI Governance Spreadsheet That cover on delivery and format?

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: 90 minutes per week for 12 weeks, or self-paced with full access from day one.

How does this compare to the alternatives?

Unlike generic compliance courses, this is tailored to the operational reality of managing AI governance in a high-velocity environment. No theory, only actions that stop the spreadsheet from breaking.

What does the Fix the AI Governance Spreadsheet That cover on frequently asked?

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

Closely related courses: Fix the Client Onboarding Spreadsheet That Breaks Every, Fix the Monday Spreadsheet Break Before Rollout, Fixing the Spreadsheet That Breaks Every Monday, Fixing the Broken Spreadsheet That Breaks Every Monday.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Fix the AI Governance Spreadsheet That Breaks Every Week

A 12-module system to operationalize AI risk controls without overloading your team

$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 spreadsheet that breaks every week

The situation this course is for

Every Monday, another model update breaks the shared governance log. Columns get misaligned, ownership fields go stale, review deadlines are missed. You reassemble it manually, again, because no system yet connects engineering velocity to compliance requirements in real time.

Who this is for

Senior AI governance lead in a fast-scaling tech environment, accountable for control rigor without slowing innovation

Who this is not for

Teams using off-the-shelf compliance templates with no AI model pipeline integration

What you walk away with

  • Replace manual tracking with an automated, living AI governance log
  • Reduce weekly governance meeting prep from 6 hours to under 60 minutes
  • Prevent control gaps caused by model version drift or ownership ambiguity
  • Integrate AI risk checks directly into CI/CD pipelines
  • Produce real-time dashboards for leadership without manual data entry

The 12 modules (with all 144 chapters)

Module 1. Map Your AI Governance Surface
Identify every model, owner, and control point across your environment. Build a living inventory that reflects reality, not hope. Start with engineering logs, not policy documents.
12 chapters in this module
  1. Inventory all active models
  2. Trace data lineage paths
  3. Tag ownership by team
  4. Classify risk tiers
  5. Map approval workflows
  6. Log deployment cadence
  7. Flag dependencies
  8. Document training sources
  9. Track retraining cycles
  10. Note sunset plans
  11. Link to incident history
  12. Benchmark completeness
Module 2. Design the Control Layer
Define minimal viable controls per risk tier. Avoid over-engineering. Focus on what stops harm, not what looks comprehensive.
12 chapters in this module
  1. Define input validation rules
  2. Set output filters
  3. Enforce access logs
  4. Require owner attestations
  5. Automate bias checks
  6. Embed explainability
  7. Set fallback triggers
  8. Log decision trails
  9. Enforce data retention
  10. Require model cards
  11. Set version locks
  12. Define rollback paths
Module 3. Break the Spreadsheet Dependency
Replace fragile files with structured, API-driven logging. Use tools already in your stack, no new platform required.
12 chapters in this module
  1. Export current log structure
  2. Normalize field names
  3. Define schema version
  4. Push to database
  5. Automate ingestion
  6. Set validation rules
  7. Trigger alerts
  8. Sync with Jira
  9. Link to GitHub
  10. Update ownership
  11. Archive old logs
  12. Audit trail setup
Module 4. Automate Weekly Reconciliation
Stop manual review cycles. Build alerts that surface only what needs attention, not everything that changed.
12 chapters in this module
  1. Detect new models
  2. Flag unapproved changes
  3. Compare to baseline
  4. Notify owners
  5. Escalate delays
  6. Track resolution
  7. Log exceptions
  8. Update status
  9. Archive resolved
  10. Report open items
  11. Sync with calendar
  12. Pause for holidays
Module 5. Embed Governance in Development
Shift left by baking controls into CI/CD. Make compliance unavoidable, not optional.
12 chapters in this module
  1. Add pre-commit hooks
  2. Enforce model cards
  3. Scan for PII
  4. Block unregistered models
  5. Require risk tags
  6. Validate inputs
  7. Check training data
  8. Enforce versioning
  9. Log deployment
  10. Trigger review
  11. Auto-document
  12. Fail unsafe merges
Module 6. Build Owner Accountability Loops
Make ownership real, not just a column. Create routines that keep owners engaged between audits.
12 chapters in this module
  1. Send monthly check-ins
  2. Request status updates
  3. Track response rate
  4. Escalate non-replies
  5. Schedule touchpoints
  6. Update contacts
  7. Confirm access
  8. Validate training
  9. Log attestations
  10. Archive confirmations
  11. Notify backups
  12. Update org changes
Module 7. Integrate with Incident Response
Connect AI events to security workflows. Treat model failure like system failure.
12 chapters in this module
  1. Define incident types
  2. Map detection paths
  3. Set alert thresholds
  4. Link to SIEM
  5. Classify severity
  6. Assign responders
  7. Run tabletop drills
  8. Log post-mortems
  9. Update controls
  10. Track fixes
  11. Close loops
  12. Report outcomes
Module 8. Create Real-Time Dashboards
Deliver leadership visibility without manual reporting. Show compliance as a live state, not a snapshot.
12 chapters in this module
  1. Pick dashboard tool
  2. Define KPIs
  3. Pull live data
  4. Show risk heatmap
  5. Highlight gaps
  6. Track progress
  7. Filter by team
  8. Export views
  9. Schedule refresh
  10. Set access
  11. Notify changes
  12. Archive versions
Module 9. Run the First Audit Cycle
Test your system with real scrutiny. Prepare for external review by simulating it now.
12 chapters in this module
  1. Select sample models
  2. Check documentation
  3. Verify controls
  4. Interview owners
  5. Log findings
  6. Assign fixes
  7. Track deadlines
  8. Re-audit fixes
  9. Close items
  10. Update playbook
  11. Report results
  12. Celebrate wins
Module 10. Scale Across Teams
Roll out to additional units without rework. Replicate what works, adapt only what must change.
12 chapters in this module
  1. Identify next team
  2. Share playbook
  3. Train leads
  4. Sync tools
  5. Adapt templates
  6. Run pilot
  7. Gather feedback
  8. Refine process
  9. Launch rollout
  10. Monitor adoption
  11. Support gaps
  12. Report progress
Module 11. Optimize for Renewal Cycles
Anticipate policy updates, model refreshes, and team changes. Build renewal into the rhythm.
12 chapters in this module
  1. Track expiry dates
  2. Notify renewals
  3. Update risk tiers
  4. Revalidate controls
  5. Reconfirm ownership
  6. Refresh training
  7. Update documentation
  8. Re-scan models
  9. Approve updates
  10. Log changes
  11. Archive old
  12. Report status
Module 12. Measure and Improve
Turn governance from cost center to capability. Show value through efficiency and trust.
12 chapters in this module
  1. Count avoided incidents
  2. Track time saved
  3. Survey teams
  4. Measure adoption
  5. Benchmark speed
  6. Assess risk reduction
  7. Calculate ROI
  8. Interview leaders
  9. Publish wins
  10. Share learnings
  11. Plan upgrades
  12. Celebrate milestones

How this maps to your situation

  • After the first model audit
  • When the spreadsheet breaks for the third time
  • Before a new AI product launch
  • Once leadership asks for status

Before vs. after

Before
Manual spreadsheets, inconsistent controls, reactive audits, and growing risk as AI scales.
After
An automated, living governance system that keeps pace with innovation and earns leadership trust.

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: 90 minutes per week for 12 weeks, or self-paced with full access from day one.

If nothing changes
Without a system, each new AI model multiplies exposure. Small gaps become incidents. Leadership trust erodes. Time leaks into patchwork fixes instead of strategic work.

How this compares to the alternatives

Unlike generic compliance courses, this is tailored to the operational reality of managing AI governance in a high-velocity environment. No theory, only actions that stop the spreadsheet from breaking.

Frequently asked

Who is this course for?
Senior AI governance owners in tech companies who are accountable for control rigor but lack scalable systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
What if I’m not in AI governance?
This course is only for those directly managing AI model oversight. If that’s not your role, it won’t fit.
$199 one-time. 90 minutes per week for 12 weeks, or self-paced with full access from day one..

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
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