Your teams are using AI. The gains aren’t compounding. Our webinar shows you why and what to do about it.
Most organisations have rolled out AI tools and seen real productivity gains but only at the individual level. Getting those gains to compound across teams has proven stubbornly difficult.
The culprit is rarely the tooling. It’s the absence of a shared knowledge layer that both humans and AI agents can rely on.
In this webinar, we introduce the Context Mesh approach: a practical pattern for managing institutional knowledge at organisational scale, so your teams stop reinventing the wheel, your agents stop hallucinating context and your AI investments finally start to stack up.
What you’ll learn
Why individual AI gains don’t automatically scale and the structural reason most organisations are stuck
How patterns like Data Mesh can be adapted for context and knowledge management across teams
What a Context Mesh looks like in practice: ownership, discovery and governance without bureaucracy
A framework you can take away and pilot with one team immediately, with no new tooling required
Who should attend
Technology leaders ready to move beyond individual AI wins and drive impact at organisational scale
Architects designing systems that need to work with both human teams and AI agents
Delivery teams looking for practical ways to reduce context-switching and knowledge loss
Speakers
Simon Bostock Managing Director Benelux
Host & Presenter Simon helps enterprises scale AI across software delivery, cutting through hype to deliver lasting, measurable outcomes. A regular international speaker, he works with senior leaders to align AI strategy with real delivery capability.
Liis Laulik Head of Delivery & Transformation
Liis brings hands-on experience helping organisations navigate technical and cultural transformation. She works with clients across Europe to build frameworks that connect AI adoption to team capability and business outcomes.
Claudio Diniz Head of Data & AI
With 14 years in technology, Claudio specialises in embedding AI across the full software delivery lifecycle, from requirements through to deployment. He doesn’t just consult on AI products; he builds them.
Webinar details
💻 Location: Online – link provided on registration
⏱ Format: 45-minute talk followed by 15-minute live Q&A
🎥 Can’t make it live? Register to receive the recording
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