Organisations adopting Microsoft Copilot need a structured journey—not just a licence purchase but a full business transformation. This session breaks down the end-to-end process of Copilot adoption, from pre-licensing readiness to deployment and long-term impact.

Readiness & Governance – Before investing in Copilot, organisations must assess their data landscape, security posture, and AI readiness. This includes understanding data compliance, Microsoft Purview controls, and governance policies required to ensure responsible AI adoption.
Proof of Concept & Business Cases – Success starts with identifying high-value use cases, engaging a champions network, and running a targeted Proof of Concept before full-scale deployment. This phase ensures organisations validate impact, drive adoption, and mitigate risks early.
Skilling & Workforce Enablement – Copilot adoption requires investment in training programmes tailored to specific applications. This includes upskilling employees in prompting techniques, Copilot capabilities across M365 apps, and ensuring Copilot training becomes part of the onboarding process.
Long-Term AI Strategy & Extending Copilot – Beyond initial adoption, organisations must integrate Copilot into daily workflows and extend its value through Copilot Studio and SharePoint Agents. This section will explore how businesses can build custom AI solutions tailored to their operational needs.
This session reflects the structured approach I take when working with enterprise clients across the UK, ensuring Copilot adoption is not just an IT initiative but a long-term business transformation.

Please confirm the session timing, including dedicated time for content and Q&A. If there are other topics or areas of focus, I am happy to discuss.