How AI value selling works
How AI value selling works when someone has to approve the claim.
This is the part most tools skip. Serre drafts; someone on your team decides what the company is allowed to claim; the next deal starts from what they approved.
Below is who does each step, what it writes underneath, what the setup costs you, and what keeps it current.
Who does what
One repeatable loop.
A person at the approval step.
Keep the reasoning behind the claim.
Source evidence, reviewable proposals, and a person’s approval.
Existing material
Library proposal review
Reduce time spent preparing invoices
Applies where the team manually assembles billing information before review.
A person decides what enters the library.
Animated reconstruction of verified Serre workflows, with fictional example data.
Value discovery is not a new methodology.
Your team already asks what the buyer is trying to change, what it is worth, and what evidence a reviewer would accept. What they do not have is a systematic way to do it, or anywhere for the answers to accumulate. Nobody has to sell differently.
Most of what a case needs is knowable before the deal starts: what your product changes, for whom, under what conditions, and with what evidence. That is the part worth keeping. What only your rep knows — this buyer, this baseline, this correction — is the part worth asking for each time.
The loop, step by step
Who does the work, and what each step leaves behind. Every step writes structured data, not prose in a document — so the next step has something to stand on.
What it costs to keep current
An owner reviews what Serre flags — new evidence, an item marked stale, two claims that conflict. That is a recurring review task, not a project. Nothing enters the library without a decision, so the upkeep is proportional to how much you change what you sell.
Talk through setup.
Thirty minutes on your material, who would approve claims, and what the first review would involve.