Operationalizing Agentic Engineering

From Copilot Adoption to Enterprise-Scale Software Delivery

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Join us at Microsoft’s Munich office on November 19, 2026, from 9:30 AM to 12:00 PM CET for an interactive 2.5-hour Customer Briefing and learn how to move from individual Copilot usage to a governed, enterprise-scale Agentic SDLC.

The discussion will cover how shared context, reusable agent capabilities, secure integrations, and human decision points can support AI-driven workflows from ideation through delivery and operations. Limited seats. Register now to secure yours.

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Microsoft Office
Walter-Gropius-Straße 5
80807 Munich
November 19, 2026
9:30 AM – 12:00 PM CET

Meet the experts

The briefing also looks ahead to the next stage: agents operating within centrally managed, isolated execution environments. This emerging model can provide stronger boundaries around access, tools, filesystems, and networks as organizations increase the scope and autonomy of agentic workflows.  
Over 2.5 hours, concise expert perspectives will be combined with moderated customer discussion, peer exchange, and networking.
Participants will gain a framework for reflecting on their current maturity, the role of GitHub as an enabling engineering platform, and practical priorities for further exploration.
Jack Rawlings
Jack leads GitHub’s GSI and SI partnerships across EMEA, helping enterprises drive AI transformation and scale agentic engineering.
Claudia Wembacher
Claudia is Director of EMEA Go-to-Market at GitHub, helping shape the company’s regional market strategy.
Florian Assmus
Florian leads PRODYNA’s technology strategy and enterprise delivery, sharing a decision-driven view on architecture that works in production.

What the briefing will cover

• An enterprise-ready Agentic SDLC: How structured context, reusable AI capabilities, governance, and defined human decision points can support adoption across teams.

• Beyond Copilot towards agentic execution: What changes across the operating model, platform architecture, governance, and security as agents take on more work across the lifecycle.

• Enterprise impact and trade-offs: How organisations can assess potential improvements in delivery speed, productivity, quality, cost, and risk without treating AI adoption as an automatic guarantee of value.

• GitHub as the enabling platform for engineering: How repositories, Copilot, workflows, security controls, policies, and isolated execution environments can support governed Agentic Engineering.
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1
Welcome and participant perspectives
Introductions, priorities, and a shared view of current AI adoption across software delivery.
2
From Copilot adoption to Agentic Engineering
How software delivery evolves from individual assistance to governed agentic workflows, and why this matters for technology and engineering leaders.
3
The journey to an enterprise Agentic SDLC
From local and shared context engineering to reusable agent capabilities, secure integrations, and enterprise governance.
4
Customer roundtable: opportunities and barriers
A moderated discussion of adoption challenges, suitable areas for delegation, and the controls needed to progress with confidence.
5
Networking break
Time for informal exchange with peers and speakers.
6
GitHub as an enabling platform for Agentic Engineering
The role of Copilot, repositories, workflows, policy controls, security capabilities, and the wider developer platform in supporting enterprise adoption.
7
The next stage: agents in isolated execution environments
How local and cloud sandboxes can provide stronger control over agent access and execution as autonomy increases.
8
From vision to action
Exploring maturity, criteria for suitable starting points, and ways to measure progress across productivity, quality, cost, and risk.
9
Closing discussion and next steps
Key takeaways, peer perspectives, and priorities for further exploration.

Secure your seat

Register now to explore practical next steps for scaling Agentic Engineering on GitHub with clear governance, secure integrations, and human oversight.