Problem
Our generative AI demo impressed everyone and shipped nothing.
The model makes things up.
We cannot measure whether it is any good.
Outcomes
- A generative AI feature people use
- Answers grounded in your data
- Measured quality and safety
Scope
In scope
- Use-case and data scoping
- Build with retrieval and evaluation
- Guardrails, testing and handover
Not included
- Foundation-model training
- Broad AI strategy (see AI strategy)
Approach
Discovery
We agree the problem, the data and the constraints, and how success will be judged.
Delivery planning
We shape the approach, sequence the work and set out costs, risks and controls.
Build and test
We build in the open, test against real data and cases, and prove it before it goes near production.
Operational readiness, hypercare and closure
We hand over, support the first weeks of use, and confirm the outcome before we close.
Deliverables
Technologies
Controls
Frequently Asked Questions
Will it make things up?
We ground answers in your content and add evaluation and guardrails to reduce that, and we monitor it in use.
Is this production-ready?
We state the maturity of each delivery honestly and do not call anything production-ready without the evidence.
Ready to scope this?
Tell us the workflow you want to improve and we will show you what generative AI can and cannot do for it.