Scaling AI in software delivery: maturity, governance, and what comes next
Most organisations are adopting AI faster than they can govern it. Join Adaptavist and Datadog to find out where the risk really hides and how ready you are to manage it.
Every engineering leader is being asked to move faster with AI, but most organisations are adopting it before they're ready to govern it. This session examines what AI readiness means in practice and how platform maturity underpins safe, sustainable AI acceleration.
In this session, we will walk through where AI introduces real risk in software delivery, from unvetted dependencies to governance gaps that AI-generated code can slip through unchallenged, and what observability looks like once it extends to AI and LLM behaviour at runtime, not just infrastructure. Datadog will also demo its AI/LLM monitoring capabilities live.
What you'll learn
- Why platform maturity is the prerequisite for safe AI acceleration, and the risk layers most C-suite leaders aren't discussing
- Why observability now needs to cover AI and LLM behaviour at runtime, not just infrastructure
- What AI/ML monitoring looks like in practice: token usage, inference costs, and model performance
- Five questions that reveal how ready your organisation really is for AI-accelerated delivery
Meet the speakers
Paul Cavanagh, Field CTO - DevOps, Adaptavist
Hands-on technologist with over 30 years of experience in the Global Financial Service Industry, and has led many large transformation and DevEx programmes.
Mike Lazenby, Partner Solutions Architect, Datadog
Mike Lazenby has 30 years' experience in the IT industry, including over a decade in observability, supporting Datadog's channel partners through technical enablement, onboarding, and certification with a focus on cloud migration and DevOps transformation.
Paul Thomas, Senior Solutions Architect, Adaptavist
Paul Thomas is a Senior Solutions Architect specialising in the financial services sector. With over 5 years' experience designing observability solutions with Datadog, he's also skilled in cloud transformation, DevSecOps, and AI enablement.
Who should attend
This session is designed for engineering, platform, security, and risk leaders under pressure to navigate AI adoption and who are uncertain about readiness, risk, and governance implications. This is a broad-awareness audience, not yet solution-aware.
- CTO / VP of Engineering / senior engineering leaders
- Heads of platform engineering / platform leads
- Security and risk leaders (CISOs, heads of AppSec)
- DevOps / SRE leads
- Compliance and risk officers in regulated industries
Register your place
Save your seat: complete the form below to join the live session. You'll also receive the on-demand recording after the event.
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***By registering below, you agree to your data being shared with the event sponsor, Datadog (Privacy Policy here).You may unsubscribe at any time by following the instructions in the communications received from Datadog.' ***