In Practice: The Other Side of the Table

Fifteen lessons for the person running an enterprise AI evaluation, published every working day from 27 August to 16 September 2026.

It is written from the buyer’s chair, by someone who has run these evaluations rather than someone selling into them. Every lesson is built on one anonymized composite, merged from several real evaluations so that no single organization is recognizable, and arranged in the order the problems actually arrive: what you settle before you talk to anyone, what happens during evaluation and pricing, then the contract and everything after it.

No vendor or product is named anywhere in the series. That is deliberate. The structural points hold regardless of whose logo is on the proposal, and a series that named names would date within a quarter.

Every figure is illustrative and is marked as such in the sentence that carries it. Every lesson ends with one thing to do differently, which is the part worth keeping. None of it is legal, tax or procurement advice.

Part I: Before You Talk to Anyone

The decision you are actually making, the problem you can defend, and everybody who can stop you.

Part II: Evaluation and Price

Pilots that can fail, demos that are products, references that are samples, and what sits under the quote.

  • Lesson 6: Pilot Theatre (3 September). Pilots almost never fail, which is the tell. A proof of concept without a kill criterion agreed in advance is a procurement formality with a demo attached.
  • Lesson 7: The Demo Is a Product Too (4 September). The demo has its own backlog and its own maintainer. Three requests show you what it was built to leave out.
  • Lesson 8: Reference Calls That Get Real Answers (7 September). Three selected references sample one population. Ask what they would put in the contract if they were signing again.
  • Lesson 9: Reading a Cost Model From the Outside (8 September). You cannot see a vendor’s costs, but the four layers under the quote behave predictably, and what they defend tells you where their money goes.
  • Lesson 10: Seats, Tokens, Outcomes (9 September). Every pricing shape creates an incentive that works against the reason you bought the thing. Pick the version you would rather manage.

Part III: The Deal and After

Diligence, contracting for a moving target, leaving, and the renewal that is the real negotiation.

The pattern across all fifteen

Nearly every failure in this series comes from the same place: a question that was cheap to ask early and expensive to ask late. What would make us say no. What does this look like when it is wrong. Which parts of this price move if our usage doubles. Who could stop this without ever refusing.

None of those require special expertise. They require asking while the answer can still change something, which is a matter of sequence rather than skill, and sequence is the one thing a buyer fully controls.

Lessons link from here as they publish. The full archive lives under In Practice: The Other Side of the Table.

This is one of eleven series. The others are Dear Humans, How Do You Know, In Practice: AI in the Enterprise, In Practice: Building an AI Company, On Your Behalf, Scaling AI FinOps in the Enterprise Jungle, Someone to Talk To, What You Do All Day, While We Were Arguing and Who Pays for the Miracle. All eleven are listed on the series page.