Hiring · · 3 min read

How to evaluate an AI engineering vendor in one call

The questions that separate vendors who ship production AI systems from vendors who demo them, plus the answers that should end a conversation early.


Vendor evaluation usually fails in the same way: the buyer asks about capability and the vendor answers about capability, and both leave the call knowing nothing they did not know before. Capability questions are answerable by anyone with a marketing team. Evidence questions are not.

Here is what to ask instead, and what the answers tell you.

Five questions about the work

“Walk me through a system you put into production, including what broke.”

Anyone can describe a build. Only teams who operated a system can describe its failure modes. Listen for specifics: retrieval quality degrading as the corpus grew, inference costs scaling non-linearly with traffic, an evaluation set that stopped correlating with user outcomes. A vendor who has never seen a system fail has never run one.

“What did you tell a client not to build?”

Vendors who only agree are selling hours. The answer should be concrete and recent.

“Who exactly will work on this, and can I interview them?”

Named engineers, this week. A refusal here usually means the team will be assembled after signature, and assembled teams are junior-weighted more often than not.

“What is your evaluation approach before we go live?”

For anything involving language models, the answer should include a held-out set, a defined quality bar, and a mechanism for catching regression after deployment. “We test it thoroughly” is not an answer.

“What happens to the code and the knowledge when we stop?”

Repository ownership, documentation standard, handover process. Ask it early, because the answer changes the contract.

Three questions about the arrangement

Answers that should end the call

The test that beats all the questions

Give the shortlist a small piece of real work. Two to five days, paid, with your actual data and your actual constraints. Ask for a repository at the end, not a deck.

This costs a few thousand euro and resolves more than three months of proposal review. What you learn:

Most vendors will decline. That is itself the result.

What we get wrong

For balance, the failure modes on our side of the table. Staff augmentation vendors, including us, are weakest when:

The sourcing model comparison covers when a different model fits better.

The short version

Ask for evidence, not capability. Ask for names, not roles. Ask what broke. Then pay for a trial rather than reading another proposal.

If you want to run that call with us, book 30 minutes and bring the hardest question on this page.