Effective AI Governance Frameworks: From Productivity Tools to Product-Embedded AI
- 08 Dec 2026
- 3:00pm - 4:00pm
Join an exclusive, small-group discussion for senior data and AI leaders, providing a confidential space to exchange insights, share challenges, and learn from peers.
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As AI adoption expands across organisations, governance teams are being asked to oversee an increasingly diverse range of use cases, from internal productivity tools and copilots to customer-facing and product-embedded AI. This discussion will explore whether a single governance framework can operate effectively across these contexts, how organisations define the boundary between internal and external AI, and where governance requirements need to vary according to use case, risk and impact.
Discussion Questions:
- What experience have organisations had applying a single AI governance framework across different use cases?
- Should the same AI governance framework apply from internal productivity tools through to customer-facing and product-embedded AI?
- How do organisations define the boundary between internal and external AI use cases?
Who should attend:
This session is designed for senior data and AI governance leaders who:
- Are responsible for defining, implementing or overseeing AI governance frameworks.
- Operate in organisations that govern AI across internal, customer-facing and operational use cases.
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Accelerator format:
DataIQ Accelerators are focused peer-to-peer discussions designed to address, and problem solve around a concrete challenge. Each session brings together a curated group of qualified contributors with relevant expertise to validate ideas, share practical perspectives, and shape actionable next steps.
What to expect:
- Invitation-only, moderated discussions for senior data and AI leaders to share ideas, brainstorm, and learn from collective expertise to solve a specific challenge.
- Contributors are asked to actively participate and openly share their experiences.
- Hosted under Chatham House rules.
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How to apply if you are not a client:
If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.
DataIQ clients: Please secure your place via the DataIQ Hub.
