Accelerated Innovation

Ensure You Have the Capabilities to Win with GenAI

RAI Governance & Insights Best Practices

Workshop
Turn Responsible AI governance into a measurable, decision-ready discipline

This workshop helps leaders understand best practices for governing Responsible AI (RAI) with clarity, consistency, and evidence. You’ll explore how governance responsibilities fit together, how cross-system insights can strengthen oversight, and how practical indicators can help leaders spot emerging issues early and act with confidence as GenAI scales.

Leave with a clear understanding of RAI governance best practices—and actionable next steps to improve oversight using insights and indicators.

The Challenge

As Responsible AI expectations rise, many organizations struggle to turn governance into something that is consistently owned, measured, and improved.

  • Fragmented accountability: Governance responsibilities span multiple functions, but decision rights and oversight roles aren’t consistently defined.
  • Limited visibility across initiatives: Leaders lack an integrated view of what’s happening across systems, use cases, and risk signals.
  • Indicators without action: Metrics may exist, but they aren’t operationalized into leadership routines that drive timely decisions.
Our Solution

We align leaders on best practices for RAI governance and how to use insights to strengthen oversight in practical, repeatable ways.

  • Governance responsibility mapping: Clarify the oversight functions, ownership roles, and decision points needed for consistent RAI governance.
  • Cross-system insight aggregation: Define what leaders should see across initiatives to understand patterns, trends, and emerging concerns.
  • Risk indicators and dashboards: Establish how indicators translate into leadership-ready signals that support proactive decision-making.
  • Policy execution through insights: Connect governance policies to measurable evidence so oversight is actionable, not theoretical.
  • Adaptive governance routines: Define how governance practices evolve as risks, use cases, and organizational maturity change.
Area of Focus
  • Map governance responsibilities and oversight functions
  • Aggregate cross-system insights to inform RAI governance
  • Operationalize risk indicators through metrics and dashboards
  • Implement governance policies informed by analytical insights
  • Continuously adapt governance practices to evolving risks
Participants Will
  • Clarify a clear view of the governance roles, responsibilities, and oversight functions required for effective RAI

  • Apply a practical approach for consolidating cross-initiative insights to improve leadership visibility

  • Prioritize a set of risk indicators to operationalize into regular governance decision routines

  • Define a policy-to-practice outline for how governance standards should be evidenced and monitored

  • Develop an actionable next-step plan to improve RAI governance using insights and continuous adaptation

Who Should Attend:

Security & Responsible AI LeadersExecutive SponsorsProduct LeadersBusiness Unit OwnersInternal Audit LeadersRisk and Compliance LeadersLegal and Privacy Leaders

Solution Essentials

Format

Facilitated workshop (in-person or virtual) 

Duration

4 hours 

Skill Level

Intermediate 

Tools

Shared collaboration space (virtual whiteboard or equivalent) and shared notes 

Build Responsible AI into Your Core Ways of Working