Many organisations still operate as ego-systems: knowledge is hoarded, teams optimise locally, and collaboration depends on individual heroes. In Microsoft 365, this often shows up as disconnected Teams, duplicate content, fragmented information, and growing frustration just as organisations begin investing in Copilot. As AI becomes part of everyday work, existing behaviours matter more than ever. Copilot isn't a band-aid for broken ways of working. It amplifies the organisation that already exists, forcing us to rethink how work, collaboration, and knowledge flow are designed. In this session, we'll explore: • Why Copilot amplifies organisational behaviours, both good and bad • How communities and networks help reduce duplication and strengthen collaboration across boundaries • What leaders can do to create the conditions for sustainable adoption, knowledge flow, and AI readiness The organisations that gain the most value from Microsoft 365 and Copilot won't necessarily be those with the most technology. They'll be those that make it easiest for people, information, and ideas to move across teams, functions, and communities.

For years, governance in Microsoft 365 focused on content: sites, documents, permissions, and sprawl. With Copilot, agents, and skills, we're increasingly governing behaviour at scale. As organisations move from AI-assisted work to AI-driven action, new questions emerge: Who owns the decisions agents embody? How do we manage competing instructions, rules, and knowledge sources? And what happens when AI systems work exactly as designed, but produce outcomes nobody expected? In this session, we'll explore: • Why agent sprawl may become the next governance challenge in Microsoft 365 • How skills and instructions encode organisational judgement and decision-making • What organisations must do to build trust, accountability, and oversight into AI-driven work As AI starts acting, governance must evolve from managing information to managing outcomes. The organisations that succeed won't be those with the most agents, but those with the clearest understanding of who owns the decisions those agents make.

Microsoft Copilot promises transformative productivity, but some of its most powerful use cases happen long before organisation-wide deployment. In this session, Rebecka Isaksson (Microsoft MVP), and Charlene King (Associate Director, Knowledge & Information Management, The Open University) share a candid, in-flight story of how Copilot helped shape the creation of a brand-new Knowledge & Information Management function at UK's largest university. Along the way, Charlene used Copilot to accelerate strategy development, team design, recruitment, workshop preparation, and decision-making, while navigating the cultural and organisational challenges that often determine whether AI succeeds or fails. Together, we'll explore: • Why successful Copilot adoption is a leadership challenge, not a technology deployment project • Why governance, lifecycle management and content quality are enablers, not blockers, for AI success • How communities, knowledge sharing and organisational learning create the conditions for trusted AI adoption This is not a polished "after" story. It's an honest look at the real decisions, tensions and lessons learned while building the foundations for AI adoption in a complex organisation. Whether you're responsible for Copilot, SharePoint, governance, or organisational change, you'll leave with practical ideas you can take back to your own organisation.

In the age of AI and Copilots, Knowledge Management (KM) is no longer a support function - it’s the foundation for success. To avoid poor outcomes and “AI hallucinations,” organizations must rethink KM as a strategic enabler that fuels Copilot with context-rich, actionable knowledge. This session takes a pragmatic approach to KM, expanding the definition of knowledge beyond content and exploring how governance, information architecture, and AI-powered tools like Knowledge Agent can unlock real business value. We’ll also look at how change management and employee engagement drive adoption, and why KM must evolve from traditional ECM to modern EKM to truly maximize AI ROI. Crucially, we’ll explore how employee wellbeing and happiness act as accelerators of change - boosting creativity, collaboration, and sustained usage. When people feel empowered and supported, transformation becomes not only possible, but scalable.

AI is no longer a futuristic concept - it’s already shaping our daily lives, from the workplace to healthcare and entertainment. But technology alone doesn’t deliver results. This session explores why leadership - and not IT departments and budgets - are the real differentiators in successful AI adoption. We’ll look at how organisations can move beyond buzzwords and ensure AI is tied to real business needs, with scenarios and use cases that matter. We’ll also examine the critical role of middle management, governance, and trust in creating sustainable change. Most importantly, we’ll highlight how employee engagement, wellbeing, and a culture of Curiosity, Courage, and Collaboration are the true accelerators of transformation. Because in the end, AI is not just about systems - it’s about people, our mindsets, our daily business- and work problems and challenges - and how we can use AI to sole them. How we can become better together, with AI as our partner!