Engineering Decision Lab
Define what AI can generate, what humans must decide, and how intent is verified.
Where is the line between AI-generated code and human-owned decisions?
AI can generate implementation; it cannot own the decision. This lab draws the boundary explicitly and decides how intent is expressed and verified across the lifecycle.
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.
- Classify your engineering decisions
- Set what AI may generate and what it may not
- Design how intent is expressed and verified
- Agree the review gates that enforce it
An explicit decision boundary
You leave with an engineering decision boundary: generate / decide / verify, made explicit for your teams.
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
Engineering leaders, architects and tech leads.
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.