How will this event help me?
Join Hitachi Solutions, Trusenta, and DataWyse for session three of our series on Data and AI Governance at Pace. We move beyond isolated experiments to the reality of Embedded AI—exploring how to map and govern the high-speed data flows in Dynamics 365 and Power Platform that most organisations haven’t yet secured.
Embedded AI doesn’t just automate tasks, it moves your most sensitive data. Once activated, tools like Copilot for Sales, AI forecasting, and customer insights begin processing customer, financial, and operational data—often through information flows organisations have yet to fully map, govern, or consent to.
The challenge is not AI itself, but that the risk is now structural, not accidental. 90% of advanced AI adopters say AI has exposed the limits of siloed processes, revealing a data governance gap that puts data sovereignty and residency at risk.
Whether it is customer data traversing jurisdictions or operational data retained in conflict with regulatory obligations, the exposure is real. Session 3 addresses why data governance must precede AI activation, ensuring classification and consent frameworks are in place before the « switch » is flipped.
Exclusive Takeaway Pack for Attendees: Receive a Pre-Activation Governance Checklist, a practical 4-step framework to help you assess, govern, and deploy any Copilot or Dynamics 365 AI capability before it goes live.
Get a customizable Data Flow Map Template, designed to help you identify exactly what data a feature can access, track cross-system and cross-jurisdiction data flows, and uncover potential risks before activation.
Key Takeaways:
- Understand AI Data Flows: Identify how AI features in Dynamics 365 and Power Platform access and use your data.
- Protect Data Sovereignty: Manage data residency and cross-border compliance risks.
- Governance-First Activation: Put the right classification, access, and consent controls in place before turning on embedded AI.
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
Meet the Speakers
- Richard Evans – Sales Director (Hitachi Solutions)
- Paul Townsend – Co-founder & Sales Director (DataWyse)
- Mark Miller – Principal Consultant (Trusenta)
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 strategy without proper data foundation is structurally fragile. Session 3 will show how understanding and governing data flows reduces risk before embedded AI is switched on.
Can’t make it live? Register anyway. We will send you the recording once available.
Missed the session that started it all? Session 1 and 2 are now available on-demand.
Session 1: Your Data is Not AI-Ready and That is the Real Problem – Watch here
Session 2: From Dark Data to Trusted Data – Watch here
The conversation doesn’t end in Session 3. Our final session: Data Governance as the Operating System for AI at Scale, brings the series together that introduces a practical framework for governing and scaling AI across your enterprise. Details coming soon!
For enquiries, drop us a message at [email protected].