AI Trust

AI helps.
Evidence decides.

PROOF uses AI to capture and structure commercial evidence — but the forecast is governed by what can be defended, not by a black-box score.

Not another AI score

Most AI tools ask you to trust a prediction.
PROOF asks what the prediction is built on.

Claim
Evidence
Forecast use
Budget approved
CFO email · captured 12 Jun · Strong
Defensible
Champion is strong
AE note only · 43 days ago · Weak
Needs review
Same kind of claim. Different evidence. Different right to be in your forecast. That's the difference between a score and a trace.
The boundary

What AI does in PROOF — and what it never owns.

Trust comes from knowing exactly where the machine stops and human judgement begins.

What AI does

  • Captures evidence from normal sales activity — notes, emails, calls, CRM updates and rep inputs.
  • Structures messy deal inputs against your methodology and deal standards.
  • Surfaces gaps, staleness and risk — with the evidence that triggered them.
  • Helps managers inspect faster, with context already assembled.

What AI never owns

  • It does not replace rep judgement. Reps and leaders decide; PROOF organises what they decide on.
  • It does not make the forecast call. A prediction never becomes a commit on its own.
  • It does not invent evidence. AI output is assistance, held apart from the record your forecast is built on.
  • It does not hide the source. Everything works back to who said what, when, and how it was captured.
Why this matters

A forecast call has to survive inspection.

"The AI said 32%" is not enough. "The rep feels good" is not enough. The question a board asks — the question that matters — is: what evidence supports the call? PROOF is built so that question always has an answer.

The PROOF standard

Five principles we hold ourselves to.

01

Evidence before prediction

No signal enters a forecast conversation without the evidence beneath it.

02

Source before summary

Every summary works back to who said what, when, and where it was captured.

03

Judgement before automation

AI proposes. People decide. The call is always a human's — and it's attributable.

04

Transparency before confidence

A confident answer you can't inspect is worth less than an honest gap you can see.

05

Governance before scoring

The question is never "what's the score?" It's "what counts — and can we defend it?"

PROOF provides clarity. Leaders and reps provide judgement.

PROOF is not anti-AI.
PROOF is anti-unverifiable AI.

See how PROOF makes AI useful — without making it the authority.

See PROOF Method