How to Run an AI Vendor Bake-Off That Reveals the Truth

Vendor bake-offs get won by whoever demonstrates best unless the test is defined first. This playbook covers designing one that tells you what you actually need to know, drawing on FISTA Solutions' AI enablement work.

When is this worth doing?

When you are choosing between AI vendors for a specific use, the decision has real cost attached, and the differences between candidates are not obvious from documentation.

It is not worth doing for small purchases where the evaluation costs more than the decision is worth, or where one option is clearly correct and the process is theatre.

What does the sequence look like?

Step	Purpose
1. Define the test first	Before any vendor conversation
2. Prepare your own data	Real documents, real hard cases
3. Normalise the scope	Same deliverables, same criteria
4. Run the test yourself	Not a guided demonstration
5. Ask the operational questions	Support, change, exit
6. Score against the criteria	Set before, not after

Step 1 — Define the test before engaging vendors

Write down what the system must do, what a correct result looks like, which cases are difficult, and how you will score.

Doing this before any vendor conversation is what prevents the process being shaped by whichever vendor you spoke to first. Vendors are skilled at defining the evaluation in terms that favour their product, and they do it helpfully rather than cynically.

The test document is also what makes the comparison defensible afterwards, which matters when the losing vendor asks.

Step 2 — Prepare your own data and hard cases

Assemble real documents, real questions, and the cases your current process finds difficult.

Vendor demonstrations use material chosen to show the product well, and every product looks capable on a well-chosen example. Your material shows where it struggles, which is the point.

Include edge cases deliberately: unusual formats, domain vocabulary, ambiguous inputs, and things the system should refuse. A vendor that handles those honestly, including by saying it cannot, is telling you something valuable.

Step 3 — Normalise the scope

Specify the same deliverables, acceptance criteria, integration work, support level, and contract term for every vendor.

Without that, the cheapest quote is the one that excluded the most, and the exclusions are rarely visible in a comparison table. Implementation, integration, and support are where quotes diverge most.

Ask every vendor to price the same thing and to state explicitly what they have excluded. That question alone reveals a great deal.

Step 4 — Run the test yourself

Get access and run your cases, rather than watching a guided demonstration.

The difference is substantial. A demonstration shows what the product does well under someone who knows it; hands-on testing shows what it does with your material and your people, including how hard it is to use.

If a vendor will not give evaluation access, treat that as information. Products that cannot survive unguided testing usually do not survive production either.

Step 5 — Ask the operational questions

Support model and response times, incident handling, how and when models change and what notice you get, data retention and processing locations, exit terms and data export, and what happens when the system produces a wrong result.

Capability dominates most evaluations and operation is what you live with for three years. The change notification question is particularly revealing: a vendor that updates models without notice is one whose behaviour you cannot control.

Ask for references from customers of similar size in similar sectors, and call them.

Step 6 — Score against the criteria set in advance

Use the scoring scheme you wrote before the demonstrations, with the whole group scoring independently before discussing.

Independent scoring before discussion prevents the loudest voice setting the result. Discussion afterwards is where disagreements get examined, which is more useful than consensus arrived at early.

Record the result and the reasoning. Six months later, when something disappoints, knowing what you decided and why is worth having.

What about proof-of-concept projects?

Paid, short, and against your defined test. Free proofs of concept are shaped by the vendor and tend to demonstrate rather than evaluate.

Pay for a bounded piece of real work with acceptance criteria. That costs a little, produces something you can judge, and tells you how the vendor behaves when the work is hard rather than when it is a sales activity.

How do you avoid being captured?

By keeping the test document fixed, involving people who will use the system rather than only those who will buy it, and keeping doing nothing on the table.

Capture happens gradually: a helpful vendor reframes the requirement, the process adopts their vocabulary, and the evaluation ends up measuring their differentiators. Rereading the original test document before scoring catches it.

Who needs to be involved?

Someone who will use the system, someone who will operate it, someone with procurement standing, and a decision-maker.

Processes run by procurement alone select on price. Processes run by the future users alone select on demonstration quality. Both perspectives are needed.

How long does it take?

Four to eight weeks including hands-on evaluation and reference calls. Compressing it usually means dropping the hands-on part, which is the part that matters.

What are the common failure modes?

Talking to vendors before defining the test. Using vendor data. Unnormalised quotes. Guided demonstrations. Ignoring operational terms. And scoring after the fact.

How do you know it worked?

A decision the group can explain, a written record of the criteria and reasoning, and a contract whose scope matches what was evaluated.

What does it cost?

Mostly people's time rather than tooling. The expensive version is the one that stalls halfway and leaves the organisation with neither the old state nor the new one, which is why a narrow first pass beats a comprehensive plan nobody finishes.

Budget the work as an operated change rather than a project with an end date, because most of these need a maintenance tail. See AI total cost of ownership.

What should you do first?

Write the test document — what the system must do, on which cases, judged how — before you take the next vendor call. That document determines everything else.

How FISTA Solutions helps

FISTA Solutions runs this work alongside client teams rather than around them: evaluations designed on your own data and hard cases before vendors are engaged, scope normalised so quotes are actually comparable, evidence produced as the work proceeds, and handover that leaves your people able to continue without us. Delivery runs through AI agents, AI enablement, and forward deployed engineers. The record is 150+ projects for 50+ companies across 12+ countries, with 47% average efficiency gains where measured.

To run this with support, message FISTA on WhatsApp, or read how to audit an AI vendor.