COMPEL Glossary / ai-risk-champions
AI Risk Champions
AI Risk Champions are designated individuals embedded within business units who serve as local advocates for AI risk awareness and act as liaisons between frontline operations and the central AI risk management function.
What this means in practice
They identify emerging risks in their business context, communicate risk policies to their colleagues, and escalate concerns that require expert attention. For organizations where the central risk team cannot have eyes on every AI project across every department, Risk Champions extend the governance reach without creating bureaucratic bottlenecks. In the COMPEL framework, AI Risk Champions are part of the governance infrastructure designed during the Model stage and operationalized during Produce, contributing to the distributed governance model described in Module 3.4, Article 5 on AI risk governance at enterprise scale.
Why it matters
Central risk teams cannot have eyes on every AI project across every department, creating blind spots where risks emerge undetected until they become incidents. Risk Champions extend governance reach into every business unit without creating bureaucratic bottlenecks that slow AI delivery. They serve as early warning sensors and local advocates who make risk awareness part of daily operations rather than an external compliance burden.
How COMPEL uses it
AI Risk Champions are part of the distributed governance infrastructure designed during the Model stage within the Governance pillar. During Produce, Champions are identified, trained, and activated across business units. They contribute to the risk register maintained throughout the COMPEL cycle and escalate concerns identified in their business context. The Evaluate stage assesses whether the Champion network is effectively extending governance reach and surfacing emerging risks.
Related Terms
Other glossary terms mentioned in this entry's definition and context.