Scaling Agentic AI Without Losing Control

Enabling AI autonomy through scalable platforms, practical governance and developer velocity.

How do you give AI agents the freedom to innovate without losing control?

As AI agents move beyond experimentation and into everyday engineering and business workflows, organizations face a new challenge: scaling adoption without compromising security, governance or developer productivity.

Join Docker Field CTO Justin Rackliffe and a select group of Platform Engineering, AI, Engineering and Security leaders for an exclusive dinner in London.

Over an evening of candid, peer-led discussion, explore how organizations are building the platforms, guardrails and governance frameworks needed to make agentic AI scalable, secure and practical.

The Challenge: Scaling Innovation Without Sacrificing Control.

As agentic AI adoption expands, four critical questions are emerging for technology leaders.

1. From Experimentation to Enterprise Adoption - Where are AI agents delivering measurable value in engineering today? What's preventing organizations from moving beyond isolated pilots towards consistent, organization-wide adoption?

2. Building Platforms That Empower Developers - What should Platform Engineering standardise to make agentic AI self-service, secure and scalable? And where should teams retain the flexibility to experiment and innovate?

3. Governance Without Bottlenecks - How can organizations establish clear boundaries around agent access to code, data and tools without turning Platform or Security into a barrier to progress?

4. Rethinking Responsibility in the Age of AI - As AI capabilities become accessible to non-developers, how must governance evolve? What new responsibilities fall to Platform, Engineering and Security teams when anyone can build and deploy with AI?

An Evening of Practical Perspectives and Peer Discussion

Hosted by Justin Rackliffe, Docker Field CTO, this private dinner will bring together a curated group of senior technology leaders to discuss the opportunities, challenges and realities of scaling agentic AI.

Together, we'll explore:

• Building the right foundations: How shared platforms, trusted environments and standardised tooling can support agent adoption at scale.
• Enabling secure autonomy: How to establish isolation, controlled tool access and enforceable guardrails without compromising developer velocity.
• Making governance practical: How to embed security, ownership and accountability into the environments where AI agents operate.
• Empowering teams to innovate: How to balance centralized platform standards with the flexibility developers need to experiment and build.
• Scaling beyond engineering: How governance and platform strategies must adapt as agentic AI moves into broader business workflows.

Drawing on real-world approaches and examples, including Docker Sandboxes, MCP Gateway, AI Governance and Hardened Images, the discussion will consider how organizations can create trusted foundations for agentic AI adoption.

Join the Conversation

The shift towards agentic AI raises questions that no single team can answer alone.

The future of AI development won't be defined by how many agents an organization deploys, but by how effectively it enables them to operate at scale.

Join Docker Field CTO Justin Rackliffe and fellow technology leaders for an evening of candid conversation, shared experiences and fresh perspectives on scaling agentic AI without losing control.

Register your interest below.