Auditable Market research, behind every deal you win

The number that almost went into the deck

We asked generic AI for a 2026 market size. It returned $39.4B. The source report says $53.9B.

Anyone who builds client work knows what happens next. The TAM is wrong, so the share assumptions are wrong, so the revenue ramp is wrong, so the recommendation is wrong. One figure on slide 4 and the rest of the deck inherits it.

One search was enough to catch it

Finding the real figure was easy. Knowing to look was the hard part.

Nothing in the original answer suggested it needed checking. No caveat, no range, no citation. It read exactly like the numbers that were right.

That is the actual risk for a team working to a deadline. If you are an associate pulling 40 data points before a Thursday partner review, you verify the figures that look off. You do not verify the ones that look fine.

Same question, run through WinningStrategy.ai

$53.9B, with the source attached.

The model was identical in both runs

What changed was the process around it.

Ask a model for a market size and you get one answer from one pass. There is nothing in that setup designed to catch a bad number.

WinningStrategy.ai runs research agents in parallel across market size, volume and pricing data. It compares what they find across sources, surfaces disagreement instead of quietly averaging it away, and keeps the citation attached to the figure that lands on the slide.

The question that decides the meeting

Every number in a client deck is one question away from being tested. Where did that come from?

If the answer is that the AI produced it, you are rebuilding that section tonight. If you can point to two sources that agree, and explain the outlier estimate you set aside and why, the conversation moves on.

That is the gap between a number you present and a number you can defend.

Your turn

What has gone wrong when you have put AI into your own research workflow? We are interested in the specifics, especially the errors that made it further than they should have.