Watch Hitachi Solutions, Trusenta and DataWyse in the final session of our four-part webinar series on Data & AI Governance at Pace. This is the session that brings it all together: the operating model that lets AI scale safely, shown live from a first idea to a governed agent running in Microsoft. New to the series? This session stands on its own.
Picture the board meeting. The Chair asks your data and AI leader two questions: who is accountable for every AI system we run, and what is each one allowed to look at? Then a harder one: next year it won’t be a few assistants. It will be dozens of agents making calls on their own. Can you still tell me who is accountable then?
Most organisations cannot answer that yet. Not because nobody cares, but because AI is being adopted in days while governance responds in weeks. This session shows the operating model that closes the gap: named owners, a shared governance service, data contracts that treat AI as a consumer, and a clear view of what is actually running in your environment.
What you will see:
- One AI use case taken from idea to approval in TRUSENTA.IO, with a risk raised and a review date set
- The same agent built and deployed in Microsoft Copilot Studio, governed exactly as it was approved
- The moment the operating model catches an AI agent nobody approved, still live in the environment
- Your own AI governance maturity score, benchmarked live against the room
This session is designed for leaders responsible for:
- Driving AI and data strategy on Microsoft platforms
CIOs/CDOs leading Copilot, Dynamics 365, and enterprise AI adoption - Ensuring secure, compliant and governed AI data usage
CISOs and privacy leaders managing access, risk and compliance - Building trusted data foundations and analytics
Data leaders improving quality, stewardship, and using Purview & Fabric - Scaling AI adoption and business transformation
Transformation leaders enabling AI use and confidence
Three experts. One integrated outcome.
- Hitachi Solutions – Microsoft transformation and implementation
- Trusenta – Governance and operating model design
- DataWyse – Data products, readiness, and platform execution
AI only scales safely when governance runs like an operating system, not a one off review. The final session shows what that looks like, and gives you a one page blueprint you can take to your board.
For enquiries, drop us a message at [email protected].