Skip to main content
Image coming soon

Becoming the Go-To Practitioner for AI Governance at PNC

$199.00
Adding to cart… The item has been added

A tailored course, built for your situation

Becoming the Go-To Practitioner for AI Governance at PNC

Position yourself as the internal authority on AI compliance, frameworks, and risk controls

$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.
Being consistently overlooked when AI governance questions arise

The situation this course is for

Even experienced practitioners get bypassed when it comes to defining AI policy, especially when there’s no clear ownership of compliance narratives or control frameworks. Without a visible track record of authored positions and reusable artefacts, influence defaults to the most vocal, not the most prepared.

Who this is for

Senior financial services leader responsible for shaping or overseeing AI governance, compliance, or risk controls within a regulated institution

Who this is not for

Individuals looking for introductory AI concepts or generic risk training; this course is for practitioners already operating at the VP level or above who want to increase influence through authored expertise

What you walk away with

  • Be the first person named when AI governance questions arise internally
  • Produce standard operating artefacts others adopt across teams
  • Cite authoritative sources and precedent during policy debates
  • Lead cross-functional alignment on AI control frameworks without escalation
  • Shape incoming AI compliance expectations before they reach leadership

The 12 modules (with all 144 chapters)

Module 1. Establishing Authority in AI Governance Conversations
Learn how to position yourself as the internal reference point by anchoring contributions in regulatory precedent and firm-specific risk appetite.
12 chapters in this module
  1. Defining your governance footprint
  2. Mapping existing AI exposures
  3. Identifying high-visibility gaps
  4. Aligning with compliance cycles
  5. Setting contribution cadence
  6. Using precedent to lead
  7. Positioning through language
  8. Creating reference moments
  9. Owning narrative arcs
  10. Anticipating escalation paths
  11. Shaping agenda items
  12. Building visibility loops
Module 2. Building Reusable Governance Artefacts
Develop templates and living documents that teams across risk, legal, and tech adopt as default references.
12 chapters in this module
  1. Designing shareable frameworks
  2. Standardizing control language
  3. Creating versioned playbooks
  4. Embedding audit readiness
  5. Simplifying complex standards
  6. Packaging for reuse
  7. Naming conventions that stick
  8. Version control strategies
  9. Indexing for discovery
  10. Usage tracking methods
  11. Feedback loops into updates
  12. Scaling across teams
Module 3. Sourcing and Citing Regulatory Precedent
Master the practice of grounding arguments in verifiable standards, rulings, and supervisory expectations.
12 chapters in this module
  1. Identifying active regulators
  2. Tracking enforcement actions
  3. Curating jurisdictional sources
  4. Building citation libraries
  5. Ranking source authority
  6. Summarizing key findings
  7. Linking precedent to policy
  8. Updating for new guidance
  9. Creating rebuttals from sources
  10. Attribution in group settings
  11. Avoiding outdated references
  12. Sharing source packs
Module 4. Leading Cross-Functional Alignment
Drive consensus across compliance, legal, data science, and infrastructure teams without relying on senior mandates.
12 chapters in this module
  1. Understanding team incentives
  2. Mapping stakeholder input
  3. Running alignment workshops
  4. Facilitating trade-off debates
  5. Documenting shared outcomes
  6. Avoiding consensus traps
  7. Setting decision thresholds
  8. Communicating joint ownership
  9. Reinforcing shared goals
  10. Tracking cross-team adoption
  11. Resolving definition drift
  12. Celebrating alignment wins
Module 5. Anticipating Emerging Compliance Demands
Stay ahead of incoming requirements by modeling how new rules apply to current initiatives.
12 chapters in this module
  1. Monitoring regulator roadmaps
  2. Scanning for draft rules
  3. Benchmarking peer adoption
  4. Modeling rule impact
  5. Flagging high-risk projects
  6. Prioritizing proactive updates
  7. Creating early-warning systems
  8. Integrating into planning
  9. Testing interpretation
  10. Sharing forward views
  11. Shaping internal expectations
  12. Building foresight credibility
Module 6. Designing Internal Recognition Loops
Ensure your contributions are visible, attributed, and reused across departments.
12 chapters in this module
  1. Naming ownership clearly
  2. Creating attribution templates
  3. Linking work to outcomes
  4. Sharing in high-traffic forums
  5. Indexing contributions
  6. Measuring re-use frequency
  7. Highlighting in reviews
  8. Linking to risk reduction
  9. Celebrating influence
  10. Documenting reference cases
  11. Building credibility trails
  12. Maintaining contribution logs
Module 7. Translating Policy into Actionable Controls
Turn abstract principles into enforceable, auditable, and measurable controls.
12 chapters in this module
  1. Breaking down policy text
  2. Identifying control points
  3. Assigning ownership
  4. Setting thresholds
  5. Designing monitoring steps
  6. Integrating into workflows
  7. Defining failure modes
  8. Creating audit trails
  9. Testing edge cases
  10. Updating for drift
  11. Documenting exceptions
  12. Reporting control health
Module 8. Maintaining Version Integrity Across Teams
Ensure all teams operate from the same, current version of frameworks and controls.
12 chapters in this module
  1. Centralizing source versions
  2. Notifying change events
  3. Tracking team adoption
  4. Handling legacy use
  5. Deprecating outdated versions
  6. Creating update checklists
  7. Enforcing change windows
  8. Documenting migration paths
  9. Managing exceptions
  10. Auditing version compliance
  11. Measuring consistency
  12. Scaling update cadence
Module 9. Creating Repeatable Governance Workflows
Build systems that reduce rework and establish predictable delivery timelines.
12 chapters in this module
  1. Mapping process triggers
  2. Standardizing intake steps
  3. Defining review stages
  4. Setting approval paths
  5. Automating reminders
  6. Integrating with ticketing
  7. Reducing manual steps
  8. Building feedback cycles
  9. Measuring throughput
  10. Optimizing for reuse
  11. Documenting decisions
  12. Archiving completed workflows
Module 10. Shaping Executive-Level Understanding
Influence leadership perception through clarity, consistency, and calm authority.
12 chapters in this module
  1. Framing risks appropriately
  2. Summarizing without oversimplifying
  3. Using concrete examples
  4. Avoiding alarmist language
  5. Connecting to business goals
  6. Presenting trade-offs
  7. Highlighting preparedness
  8. Updating in stable cadence
  9. Anticipating follow-ups
  10. Providing next steps
  11. Managing escalation tone
  12. Building trust through delivery
Module 11. Defending Against Ad Hoc Interpretation
Prevent drift by ensuring frameworks are applied consistently, even in urgent situations.
12 chapters in this module
  1. Identifying common misapplications
  2. Creating quick-reference guides
  3. Posting decision rules
  4. Labeling authoritative sources
  5. Training on common errors
  6. Responding to exceptions
  7. Documenting rationale
  8. Managing pressure moments
  9. Reinforcing consistency
  10. Auditing interpretation
  11. Updating guidance
  12. Scaling defense mechanisms
Module 12. Sustaining Influence Over Time
Keep your role central as AI governance evolves and new players enter the space.
12 chapters in this module
  1. Tracking emerging voices
  2. Maintaining visibility
  3. Updating signature work
  4. Onboarding new teams
  5. Extending into new domains
  6. Recognizing influence gaps
  7. Reinforcing key positions
  8. Celebrating contributions
  9. Sharing ownership wisely
  10. Measuring reach growth
  11. Adapting to change
  12. Reasserting leadership

How this maps to your situation

  • When launching a new AI initiative
  • During regulator-facing review cycles
  • After a control failure or audit finding
  • When onboarding new compliance team members

Before vs. after

Before
Contributing to AI governance discussions but not leading them, with work scattered across formats and inconsistent adoption across teams.
After
Recognized as the go-to internal expert, with standardized, reusable artefacts that shape how AI compliance is understood and applied firm-wide.

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 3-4 hours per module, designed for flexible completion over 6-8 weeks with immediate applicability.

If nothing changes
Without intentional positioning, influence on AI governance defaults to whoever speaks first or loudest, not those with the deepest grasp of controls, risk, and compliance. Your expertise may remain underutilized while others define the narrative.

How this compares to the alternatives

Unlike generic online courses or vendor-led trainings, this program is tailored to your seniority and institutional context, focusing on influence, recognition, and reusable artefacts, not just awareness or compliance checklists.

Frequently asked

How is this different from general AI ethics training?
This course focuses on governance execution, control frameworks, compliance positioning, and cross-functional influence, not abstract principles. It’s designed for practitioners who shape policy, not just follow it.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if my firm hasn’t adopted AI widely?
Yes, early stages are the best time to establish authority. The course helps you shape how AI governance takes root before norms harden.
$199 one-time. Approximately 3-4 hours per module, designed for flexible completion over 6-8 weeks with immediate applicability..

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