AI Vendors Are Starting to Prove Their Own Results

Factory just launched a product called Agent Effectiveness, whose stated job is proving that its own AI agents actually make teams ship faster. Pause on how unusual that is. For three years the AI sales motion has been a compelling demo followed by an invoice, with the burden of demonstrating value landing on the customer months later, if anyone got around to it at all. A vendor now building measurement into the product is a signal that demos have stopped closing deals by themselves. Buyers got harder to convince. Good. Push further.

Why demos were never evidence

AI demos are unusually seductive and unusually unrepresentative, which is a bad combination. A demo runs a clean example the vendor selected, on tidy data, with an expert driving, on a task chosen because it works. Your reality is messy inputs, awkward edge cases, staff learning the tool in the gaps between real work, and integration with systems nobody mentioned. The gap between those two worlds is where most AI disappointment lives, and it is rarely dishonesty. The demo simply answered a different question: it showed that the tool can work, not that it will work here, which is a large part of why most AI projects fail.

Four questions before you sign

Ask these while you still have leverage, which is before the contract, not after the renewal notice.

Ask	Why it matters
What outcome, in our terms?	Their metric may not be your problem
Compared to what baseline?	Improvement is meaningless without a start point
Who measures, and can we see raw numbers?	Summary slides hide the interesting parts
What happens if it misses?	Consequences separate confidence from marketing

A vendor genuinely confident in their product will engage with all four, and some will welcome it. Deflection on any one of them is itself an answer, the same signal we flagged around vetting vendor claims and usage limits.

Design the pilot to be able to fail

This is the part most businesses get backwards. If you decide what counts as success after the pilot, you will find a way to call it a success, because by then you have invested time, told people about it, and nobody wants to have wasted a quarter. So write the criteria down first. Pick one real workflow rather than a showcase. Measure the current state for a couple of weeks so you have an honest baseline, which is the step almost everyone skips and the reason so many AI results are unfalsifiable. Run long enough to get past the novelty period, because week one always looks good. And name, in advance, the result that would make you walk away.

This applies more to small businesses, not less

It is tempting to read all this as enterprise procurement theatre. The opposite is true: a large company can absorb a bad software decision, and you cannot. You do not need a procurement function to do this properly. You need one written page saying what you expect this tool to change, how you will know, and by when, plus the discipline to reread it in ninety days. That page takes twenty minutes and prevents the outcome that quietly costs small businesses the most: a subscription renewing for two years while nobody can say whether it ever helped. Pair it with a simple way to measure AI ROI and you are ahead of most buyers.

Use the moment

The reason to notice a vendor building proof tooling is that it tells you the market has changed in your favour. Sellers who once needed only a good demo now expect to be asked for evidence. That is leverage, and leverage expires if nobody uses it. Ask the four questions on your next AI purchase, insist on a baseline, and put your success criteria in writing before you start. The worst case is that you buy the same tool with clearer eyes. The best case is that you avoid the one that was never going to work here.

Frequently Asked Questions

What changed?

Factory launched Agent Effectiveness, a product whose stated purpose is proving that its own AI agents actually make teams ship faster. That is a notable thing for a vendor to build. For three years the AI sales motion has been a compelling demo followed by an invoice, with the burden of showing value landing entirely on the customer months later. A vendor investing in measurement is a signal that demos have stopped closing deals on their own, and that buyers have started asking harder questions. That shift is good for you, and you should press it.

Why were demos ever enough?

Because AI demos are unusually seductive and unusually unrepresentative. A demo runs a clean example, chosen by the vendor, on tidy data, with someone experienced driving. Your reality is messy inputs, edge cases, staff learning the tool between other work, and integration with systems the demo never touched. The gap between those two situations is where most disappointment lives, and it is not usually dishonesty. It is that the demo was answering a different question than the one you actually needed answered: not can it work, but will it work here.

What should I ask a vendor to prove?

Four things, and ask before you sign rather than after. What is the specific outcome metric, in your terms, not theirs, and how will it be measured? What is the baseline you are comparing to, since improvement is meaningless without knowing where you started? Who does the measuring, and can you see the raw numbers rather than a summary slide? And what happens if it does not hit the number, is there an exit, a refund, a renegotiation? A vendor confident in their product will engage with all four. Deflection on any of them is informative.

How do I design a pilot that actually tells me something?

Decide the success criteria in writing before the pilot starts, because deciding afterward guarantees you will find a way to call it a success. Pick one real workflow rather than a showcase, measure the current state for a couple of weeks first so you have a genuine baseline, then run the tool on the same work and compare like for like. Keep it long enough to survive the novelty period, since almost everything looks good in week one. And name in advance what result would make you walk away.

Does this apply to small businesses buying modest tools?

Yes, and arguably more, because you have less room to absorb a bad purchase and less leverage to demand a refund. You do not need a procurement department to do this well; you need one written page saying what you expect this tool to change, how you will know, and by when. That page costs twenty minutes and prevents the common outcome where a subscription quietly renews for two years while nobody can say whether it helped. Ask vendors to prove it, and hold yourself to the same standard.