As AI becomes increasingly embedded in modern software development, many engineering leads are asking the same question: How do we implement it effectively across teams and projects?
In this session, Technical Director Richard Brown will outline a framework for introducing AI into the engineering lifecycle, covering the foundations, rollout, and continuous improvement required to make AI adoption sustainable and scalable across the SDLC.
Drawing on Audacia’s internal approach to AI-assisted engineering, the talk will explore how to create the right governance, enablement, and culture for teams to succeed with AI.
This session will provide a structured approach to implementing AI across engineering teams, covering:
1. Foundations: Building Readiness and Trust
– Governance and guardrails
– Acceptable use policies
– The importance of solid delivery foundations
2. Rollout: Equipping and Enabling Teams
– Selecting and licensing the right tools
– Data security, compliance, and governance
– Upskilling and training
3. Continuous Improvement: Embedding AI in Engineering Culture
– Nurturing internal communities of practice
– Encouraging open discussion of both successes and failures
– Developing targeted, high-impact use cases
This talk is for those exploring how to integrate AI into their software delivery lifecycle. Whether you’re piloting AI tools or planning organisation-wide adoption, we hope this session will help you move from experimentation to successful implementation, adoption and scale.
Technical Director
