A tailored course, built for your situation
Being the First Call on AI Governance Escalations
Position yourself as the internal authority on AI governance decisions across complex regulatory environments
$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.
Who this is for
Senior compliance or risk officer in a regulated financial institution, regularly involved in policy interpretation and cross-functional alignment on emerging technology frameworks
Who this is not for
Entry-level analysts, auditors looking for certification prep, or technologists focused only on model validation without governance scope
What you walk away with
- Recognized as the internal reference point for AI governance decisions
- Equipped with repeatable frameworks to evaluate novel AI use cases
- Precedent library of internal and cross-industry AI governance responses
- Ability to frame positions with language that gains rapid cross-functional alignment
- Clear escalation pathways that route complex questions to your desk
The 12 modules (with all 144 chapters)
Module 1. Mapping AI Governance Touchpoints in Banking
Identify where AI governance intersects with credit risk, fair lending, model risk, and consumer protection in financial services.
12 chapters in this module
- Regulatory boundaries for AI in lending
- Key overlap with model risk management
- Consumer impact assessment triggers
- Fair lending implications of AI scoring
- AI use cases currently live at PNC-level firms
- When AI governance replaces manual reviews
- Auditor expectations on AI documentation
- Regulator-facing review cycles
- Internal audit escalation patterns
- Cross-departmental ownership gaps
- First-mover advantages in policy setting
- How AI governance creates role leverage
Module 2. Structuring the Governance Response
Learn how to assemble a response that balances innovation enablement with compliance defensibility.
12 chapters in this module
- Initial triage of an AI governance request
- Determining scope: pilot vs production
- Engaging legal without slowing momentum
- Risk tiering by customer impact
- Speed-to-response benchmarks
- When to escalate vs resolve
- Creating decision logs that stick
- Precedent-setting through early calls
- Balancing speed and rigor
- Frameworks for undocumented edge cases
- Using precedent to reduce rework
- Sign-off patterns across divisions
Module 3. Building Precedent Libraries
Develop a living archive of past decisions that accelerates future responses and strengthens internal authority.
12 chapters in this module
- Cataloging past AI use case approvals
- Tagging decisions by risk class
- Internal searchability of past calls
- Anonymizing sensitive examples
- Sharing precedent without oversharing
- Versioning governance positions
- Cross-referencing with audit findings
- Updating libraries post-examination
- Contributing to firm-wide knowledge
- Creating template responses
- Reducing response time with archives
- Positioning libraries as institutional assets
Module 4. Language That Commands Consensus
Frame positions so stakeholders align quickly, reducing debate and elevating your influence.
12 chapters in this module
- Opening statements that establish gravity
- Avoiding technical jargon with execs
- Phrasing risk without alarm
- Anchoring to existing policies
- Using regulatory language correctly
- Creating shared definitions
- Pre-empting common pushback
- Language for cross-functional buy-in
- Tone for high-visibility escalations
- Balancing caution and progress
- Scripts for tough questions
- Closing with clear next steps
Module 5. Earning Deference Without Authority
Become the default advisor even when you don’t own the initiative.
12 chapters in this module
- Leading through insight, not title
- Timing of early intervention
- Offering value before being asked
- Building trust with tech teams
- Gaining peer-level credibility
- Responding when overruled
- Maintaining consistency over time
- Documenting positions quietly
- Becoming the reference point
- Creating pull for your input
- Influence without escalation
- Role modeling governance maturity
Module 6. Cross-Functional Escalation Design
Shape how issues flow to you by designing pathways that embed your role in key decisions.
12 chapters in this module
- Mapping decision inflow sources
- Identifying natural escalation points
- Creating intake templates
- Routing rules for AI-related queries
- Automating initial triage
- Integrating with IT governance
- Working with enterprise architects
- Aligning with CISO priorities
- Feeding into vendor diligence
- Participating in innovation intake
- Positioning for mandatory consult
- Reducing ad hoc requests
Module 7. Regulatory Engagement Preparation
Prepare for supervisory review with artefacts that demonstrate proactive governance.
12 chapters in this module
- Anticipating OCC questions
- Preparing evidence trails
- Documenting decision rationale
- Ensuring auditability of calls
- Maintaining responsiveness logs
- Updating governance maps
- Aligning with FFIEC expectations
- Positioning AI risk in exams
- Handling document requests
- Coordinating with legal
- Creating examiner-friendly summaries
- Demonstrating consistency over time
Module 8. Institutionalizing Governance Norms
Turn one-off decisions into repeatable standards that shape firm-wide behavior.
12 chapters in this module
- Identifying pattern-based decisions
- Drafting internal policy addenda
- Gaining endorsement from leadership
- Integrating with training programs
- Updating onboarding materials
- Feeding into policy review cycles
- Measuring adoption of norms
- Recognizing early adopters
- Correcting drift without enforcement
- Creating self-service guidance
- Scaling through others
- Rewriting outdated assumptions
Module 9. Handling Novel Use Case Proposals
Evaluate emerging AI applications with a structured method that balances innovation and risk.
12 chapters in this module
- Initial screening criteria
- Assessing customer impact level
- Determining need for external review
- Evaluating model explainability
- Checking for bias testing plans
- Reviewing data provenance
- Assessing third-party reliance
- Determining monitoring requirements
- Setting approval thresholds
- Creating conditional approvals
- Defining sunset clauses
- Documenting assumptions made
Module 10. Reducing Repeat Questions
Design responses that prevent recurring escalations and position you as a long-term solution.
12 chapters in this module
- Identifying repeat themes
- Creating canonical answers
- Publishing internal FAQs
- Indexing by use case type
- Linking to policy sources
- Training others to respond
- Empowering front-line teams
- Reducing noise in escalations
- Tracking question frequency
- Updating responses over time
- Measuring reduction in repeats
- Freeing capacity for new issues
Module 11. Measuring Governance Impact
Demonstrate the value of governance through observable outcomes, not just compliance checks.
12 chapters in this module
- Tracking decision velocity
- Measuring rework reduction
- Assessing time to first response
- Evaluating peer adoption
- Monitoring escalation volume
- Reducing legal involvement
- Avoiding audit findings
- Preventing supervisory scrutiny
- Enabling faster innovation
- Increasing stakeholder trust
- Demonstrating risk reduction
- Communicating impact internally
Module 12. Becoming the Institutional Reference
Solidify your role as the go-to practitioner for AI governance across the enterprise.
12 chapters in this module
- Building a reputation for reliability
- Delivering consistent positions
- Maintaining neutrality
- Expanding influence beyond mandate
- Mentoring junior practitioners
- Contributing to executive briefs
- Being cited in decision records
- Shaping future policy direction
- Setting external expectations
- Receiving unsolicited input requests
- Creating legacy through systems
- Remaining relevant as landscape evolves
How this maps to your situation
- When a new AI initiative is proposed in lending
- During regulatory examination prep
- After a peer team launches an AI tool without governance
- When leadership asks for a unified AI policy
Before vs. after
Before
AI governance decisions are ad hoc, reactive, and dispersed across teams.
After
You're the recognized anchor for AI governance, escalations route to you, peers defer to your judgment, and your frameworks become institutional standards.
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 for completion over 4-6 weeks with real-world application between modules.
How this compares to the alternatives
Unlike generic AI ethics courses or compliance certifications, this course delivers institution-specific response frameworks used by practitioners at top-quartile financial firms to gain influence and reduce rework.
Frequently asked
Is this course focused on technical AI implementation?
No. This course is for governance decision-makers who evaluate AI use cases, not build models. It focuses on judgment, precedent, and cross-functional positioning.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get promoted?
It’s designed to increase your influence and recognition in your current role. Promotion often follows sustained visibility and trusted judgment.
$199 one-time. Approximately 3 hours per module, designed for completion over 4-6 weeks with real-world application between modules..
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