Discover
Start with the real workflow, users, evidence, constraints and non-AI alternatives.
Method / Decision to delivery
Useful AI is
a product discipline.
A model demonstration is not an operating product. The work must survive real data, real users, failure, cost and organisational adoption.
Follow the method ↓Frame
Define the product decision, outcome, test set and boundary of responsible autonomy.
Prototype
Build the smallest working system that can expose value, failure and operational reality.
Evaluate
Measure quality, latency, cost, risk and recovery against representative cases.
Deploy
Ship with observability, human control, secure configuration and a real adoption path.
The decision bar
Five questions before scaling.
- 01Does the workflow contain a problem worth changing?
- 02Is AI better than a deterministic or process solution here?
- 03Can representative quality be measured before launch?
- 04Is failure visible, recoverable and assigned to a human owner?
- 05Can the organisation adopt and operate the product responsibly?
Start with the real workflow