AI for Legacy Systems
Decide where AI safely touches systems you cannot afford to break.
Where can AI safely engage legacy systems — and where must it stay out?
Legacy systems carry undocumented risk. This lab decides where AI can comprehend, assist and migrate safely, and where it must be kept away.
A working lab
A working lab for engineering leaders and their teams — you draw the boundary between what AI generates and what humans decide, then verify it against real code and real constraints.
- Map legacy risk and knowledge gaps
- Decide safe AI roles: comprehension, test generation, migration assistance
- Set the boundaries and controls
- Sequence the safe engagements
An explicit decision boundary
You leave with a legacy AI engagement map: safe zones, no-go zones and the controls between them.
Every ADAAS session ends the same way: a decision, the rationale behind it, and an artifact your organisation can act on and defend.
Who should be in the room
Architects, and platform and modernisation teams.
More in AI Engineering Programs
Decide what AI builds — and what your engineers still own.
Talk to us about running this with your engineering organisation.