Why this session matters
Financial institutions already manage some of the toughest regulatory demands of any industry. AI is adding a new layer of risk, and it is moving faster than most governance structures can keep up. Employees are using AI to draft client communications, summarize meetings, analyze data and support decisions in lending, underwriting, fraud detection and customer service, often outside formal oversight.
Many firms respond by restricting AI. That rarely stops it. It pushes the activity out of sight, where it is harder to document and defend in an exam or audit. In this session Michelle presents a seven-step governance framework, grounded in NIST standards, that gives financial services leaders a practical path from reactive risk management to governed, confident AI adoption.
What you’ll learn
- How to build cross-functional governance that aligns compliance, legal, risk, security and workforce leadership
- How to apply a risk-based approach to AI use cases, separating everyday productivity use from high-risk use in credit, customer outcomes and regulated communications
- The documentation and audit trails examiners, auditors and boards will expect
- How to identify and manage shadow AI, including unapproved tools and sensitive customer data in prompts
- How to treat vendor and embedded AI as part of third-party risk management
- The human side of adoption: training, manager readiness, communication and employee trust
- How to move from a successful pilot to firm-wide adoption without losing control
Who should attend
Compliance, risk, legal, audit, CISO, data privacy and HR leaders in banking, insurance, wealth management and financial services.
What’s on the agenda
- The governance gap: why restriction alone fails in financial services
- The regulatory landscape: what examiners and regulators are watching, and where existing obligations meet AI
- The Seven-Step Framework: a walkthrough of each step with financial services examples
- The human dimension: shadow AI, manager readiness and building trust
- Live Q&A with Michelle
Save your spot
Tuesday, October 27, 2026 at 11:00 AM ET. Seats are limited, and everyone who registers gets the recording.

