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Agent-ready: turning AI ambition into measurable engineering outcomes

Join us for our webinar designed for senior engineering leaders seeking practical insights to advance their AI strategies.
Wednesday 24 June | 12pm BST

Discover how to prioritise, architect, and govern agentic AI programmes that deliver measurable business outcomes and put ideas into practice across your code, pipelines, security tooling, and operations.


A person stood in front of a round cog with AI in the middle and a pile of coins on one side and an egg timer on the other.

Webinar overview

Most engineering organisations have already run their first AI pilots. The harder question now is what comes next? That's what this session is built to answer.
Hosted by Adaptavist and GitLab, it will address topics for those who are moving beyond AI assistants and need to make real decisions: which use cases to scale, how to build a platform and operating model that supports autonomous agents, and how to govern AI in a way that keeps security and compliance teams confident, without slowing delivery down.
What you should expect
  • Why AI programmes stall after the pilot stage — the platform, governance, and operating model changes that separate organisations scaling AI value from those running disconnected experiments
  • What a mature, agent-native engineering organisation looks like — the metrics, governance structures, and platform patterns that define organisations operating AI at scale
  • How to prioritise use cases that move the needle — a framework for evaluating agentic AI opportunities against the outcomes your business actually cares about: lead time, deployment frequency, incident MTTR, and cost per feature
  • What agent-ready architecture looks like — the API, data quality, telemetry, and access control foundations your platform needs before agents can operate reliably and safely at scale
  • How to govern agentic AI without killing velocity — building guardrails, auditability, and continuous evaluation into your SDLC so security and compliance leaders stay confident and on side
  • How to avoid the cost and complexity traps — managing token and API spend, preventing redundant tooling, and making multi-vendor AI decisions that protect you from lock-in and runaway costs
  • How GitLab Duo delivers this in practice bringing ideas to life — concrete examples of Duo agents compressing cycle time, fixing failed pipelines, remediating vulnerabilities, and delegating tasks across the SDLC inside a governed, unified platform
  • Q&A session: an opportunity to ask our experts any questions you might have
Who should attend?
VPs and Heads of Engineering, Directors of DevOps and Platform Engineering, and senior leaders responsible for software delivery performance, developer experience, or AI tooling strategy, particularly those with budget accountability for engineering tooling or an active mandate to develop an AI roadmap. Particularly relevant for engineering leaders in large, complex organisations navigating AI adoption across multiple teams, geographies, or regulated environments.

This session is not for teams still evaluating whether to adopt AI. It's for leaders facing the harder decisions that follow: how to scale what's working, how to tie AI investment to measurable business outcomes, how to build a platform and governance model your security and compliance teams will trust, and how to avoid the tool sprawl and cost overruns that derail most AI programmes at scale.
Jan Rockemann
Mathias Ewald

Speakers

Learn more about the experts joining us:
Jan Rockemann - Adaptavist
A trusted advisor to senior leaders navigating the intersection of AI, security, and cloud transformation. With a career spanning hands-on engineering to leading delivery practices and cross-functional teams, Jan helps organisations turn AI-powered DevSecOps into a competitive advantage — reducing risk, accelerating delivery, and driving measurable business outcomes. At Adaptavist, he partners with leadership teams to build the intelligent, secure digital foundations that power tomorrow's enterprise.
Mathias Ewald - GitLab
Mathias is a Partner Solutions Architect at GitLab, based near Vienna and works with global system integrators and regional partners across EMEA on enterprise adoption of GitLab Duo and the Duo Agent Platform, with a focus on AI integration across the software development lifecycle. Mathias is experienced in providing partners with guidance on where LLMs fit in enterprise workflows - and where they don't.

Register for the webinar

Sign up to join the webinar taking place on 24th June from 12:00-12:45pm BST