How to Evaluate an AI Implementation Partner

The AI consulting market got crowded very quickly, and most of the differentiation is in the marketing rather than in the delivery. Here is what we would ask if we were buying.

Nine questions worth asking

  1. 1

    Ask them to describe a workflow they told a client not to automate. A partner who has never talked a client out of something is selling, not advising.

  2. 2

    Ask who does the work. Find out whether the person in the room is the person on the engagement, and what the ratio of senior to junior time looks like.

  3. 3

    Ask what they measure and against what baseline. If they cannot describe how they captured the before state, they cannot credibly claim the after state.

  4. 4

    Ask whether they resell the tooling they are recommending. A partner with resale margin on a platform has a reason to recommend that platform.

  5. 5

    Ask what happens when the agent is wrong. You are listening for defined success criteria, human checkpoints, escalation logic, and telemetry. Vague reassurance is a bad sign.

  6. 6

    Ask them to explain the permission model. Anyone connecting AI to a system of record should be able to describe role scoping without being prompted.

  7. 7

    Ask what they do about your process first. If the answer skips straight to technology, they will automate your existing problems.

  8. 8

    Ask about the handover. Who owns this after go-live, what does your team need to learn, and what happens if you stop working together.

  9. 9

    Ask for the failure story. Every firm that has done real work has one. A firm that does not have one has either not done much or is not being straight with you.

What we would treat as red flags

A proposal that starts with a tool rather than a workflow. Outcome percentages with no named baseline. A pitch that leads with certifications and partner badges rather than with delivered work. Multi-agent orchestration proposed to a company that has not automated anything yet. And any partner unwilling to tell you that part of what you asked for is not an AI problem.

What we would look for

Domain depth in the specific function being automated, because generic AI capability plus no understanding of your close is not a useful combination. Willingness to disqualify work. A written method rather than an improvised approach. And people who can talk about the control environment as fluently as they talk about the model.

Frequently Asked Questions

Should we hire an AI specialist firm or our existing systems partner?+

It depends which risk you would rather carry. A specialist knows the technology and may not understand your operation. A systems partner knows your operation and may be new to the technology. The failure mode of the first is automating something that should have been redesigned. The failure mode of the second is a shallow build. Ask both sets of questions above.

How much should an AI assessment cost?+

Comprehensive readiness assessments generally run between $5,000 and $15,000. Ours is $5,000. Be cautious of free assessments from anyone who sells the software, and be cautious of six-figure discovery phases.

Do partner certifications matter?+

Somewhat, as a floor. They confirm familiarity, not delivery capability, and certifications are held by individuals rather than firms. Weight delivered work far more heavily.

What size engagement is realistic to start with?+

Start with an assessment, then one narrow production workflow. Any partner proposing a platform-wide rollout as a first engagement is taking a risk with your money rather than theirs.

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Last reviewed: August 2026

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TFR Solutions, Los Angeles, CA · teddie@tfr.solutions · (310) 894-6031