What you will learn
- Why legacy systems are not the obstacle — and why classic approaches (rewrite, lift-and-shift, big-bang migration) consistently fail
- How to treat the spec as the asset: what migrates isn’t the code, it’s the knowledge
- The anatomy of AI-enabled reverse engineering — how to extract intent from existing systems
- A five-phase brownfield method from discovery through governed production
- Two real implementation cases with outcomes
- A risk map for brownfield AI delivery and the success KPIs that actually matter
Who this is for
Engineering leaders, architects, and transformation teams responsible for legacy modernisation in organisations where the core systems are not going away — and where incremental AI-enabled migration beats rewriting from scratch.