Delivery.

Notes on this topic

1. What makes an AI pilot ready for production?

   A pilot proves something is possible. Production proves it’s reliable, affordable and owned. Our checklist covers evaluation thresholds, approval points, cost ceilings, monitoring and the runbook your team will actually use.

   Delivery8 min

2. Proof of concept, pilot or MVP: which AI step are you taking?

   A proof of concept asks whether a model can do the task, a pilot asks whether it works on live work, and production promises it will keep working. Confusing the three is how impressive demos die.

   Delivery6 min

3. Shadow mode: how to test AI on live work without risking it.

   Run the system on real cases while people work as usual, compare its proposals with what they decided, and let the agreement rate by case type decide what moves forward. It is the cheapest honest test there is.

   Delivery6 min

4. How to choose an AI partner: questions that show how they really work.

   The answers that matter are about evidence and ownership: whether a firm can show an evaluation set from past work, who will actually build, what it refuses to automate, how it estimates running costs and what you own when it leaves.

   Delivery6 min

5. How to write an AI RFP that gets answers you can compare.

   Describe the workflow, real examples and what good looks like instead of a feature list. Ask every bidder how they would evaluate, who would build, what you would own and what it costs to run, then decide with a short paid test.

   Delivery6 min

6. What your team should receive when an AI project ends.

   A handover is complete when your team can change a prompt, re-run the evaluation set, roll back a model and explain a decision to an auditor without calling the supplier.

   Delivery5 min

7. From one team to many: how to roll out an AI system that worked once.

   The second team is never a copy of the first: its cases, language, systems and habits differ. Re-baseline, re-run the evaluation set on its cases, find local champions and widen scope one step at a time.

   Delivery6 min

8. Who you need on an AI project, and why the domain owner matters most.

   A small team with a domain owner, engineers who can evaluate as well as build, and a designer for the review step beats a large team of specialists. The scarcest resource is the domain owner’s time, so plan it first.

   Delivery5 min