Field notes
Choosing and managing an AI engineering partner
A convincing demo does not prove that a partner can deliver an operable system. The evaluation needs representative cases, declared failure paths, measurable acceptance, and a handover another team can execute.
These notes show what evidence to request, how to compare uneven proposals, how to let a pilot fail cheaply, and how to test the exit before signing off.
Reading
Guides in this collection.
Should you build, buy, or partner for enterprise AI?Source model, data, workflow, integration, evaluation, experience, and operations independently, with explicit ownership and exit cost.6 min readRead
What is forward-deployed engineering?Forward-deployed engineering shortens the path from observing a wrong assumption to changing the system. Direct access to the work and authority to make bounded changes are essential.7 min readRead
Can another team operate what your AI vendor built?Handover passes only when a new team can rebuild, evaluate, deploy, observe, roll back, and operate the system.7 min readRead
What proof should an AI engineering partner provide?The proof worth asking for is evidence the partner produced as a by-product of doing the work, not documents assembled for the sale: run records, the evaluation set and its failures, the decisions that were reversed, and a handover another team has actually used. Anything authored for the pitch tests writing, not work.8 min readRead
Make AI vendors prove they can run production systemsScore representative evaluation, failure handling, deployment evidence, operating ownership, and exit instead of demos, logos, or generic team claims.7 min readRead
An AI pilot must be allowed to failA pilot needs a frozen decision, baseline, representative hard cases, operating exposure, cost boundary, and precommitted no-go criteria.8 min readRead
How should you test an AI vendor before hiring?Match a paid selection exercise to the delivery model. Test fixed-brief delivery through its returned artifacts, and embedded delivery through the actual workflow, access and approval constraints.8 min readRead
What should I ask an AI vendor in the first meeting?Seven questions, each with what a good answer sounds like and what a bad one hides.5 min readRead
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