Agents

B2B Deal Qualification

Find the unsupported claims hiding inside a confident forecast

Classify every material deal claim by evidence type, expose contradictions and unknowns, and focus verification on what could change the forecast.

What the Agent prepares

  • Claim-by-claim evidence audit
  • Impact and confidence-limit ranking
  • Verification action, owner, and change condition

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Turn deal signals into a reviewable sales decision

Classify every material deal claim by evidence type, expose contradictions and unknowns, and focus verification on what could change the forecast.

The Agent separates customer evidence, seller interpretation, assumptions, contradictions, and unknowns before recommending a next action.

Use it for

Forecast review

Test the customer evidence behind a pipeline or commit call.

Deal inspection

Separate direct proof from hearsay and seller inference.

Resource gate

Verify the claims that could change continued investment.

Example task

Audit the evidence behind this commit forecast

What the Agent prepares

  • Claim-by-claim evidence audit
  • Impact and confidence-limit ranking
  • Verification action, owner, and change condition
Audited forecast case shows an empty evidence pocket and verification envelope

How it works

01

Frame the decision

Define the customer decision, scope, participants, timing, and seller constraint.

02

Audit the evidence

Apply the Skill method to observed actions, records, direct statements, and missing proof.

03

Commit the next check

Return a bounded recommendation, owner, review date, and evidence that would change it.

Revenue operations analyst attaches customer evidence to a physical forecast rail

Ethical B2B sales analysis with explicit limits

  • The Agent does not invent customer authority, need, budget, timing, intent, evidence, or commercial outcomes.
  • It does not recommend bribery, deception, confidential-data extraction, unfair procurement influence, or unsupported guarantees.
  • A human approves customer communication, pricing, commitments, resource allocation, contracts, and final commercial decisions.

Frequently asked questions

What should I provide?

Share the decision, customer context, dated actions or records, direct statements, constraints, owners, and known evidence gaps.

Can it work with incomplete deal data?

Yes. It marks unsupported customer facts as unknown and identifies the smallest ethical verification action.

Will it contact the customer or commit resources?

No. It prepares a decision record and next-step proposal for human review and execution.

Ready to put this Agent to work?

Choose an example or describe your own task to get a structured result.

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Choose a self-service, assisted, or consultative motion from evidence about buyer complexity, joint diagnosis, adoption burden, margin, and cost to serve.

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Failed or incomplete first runs are refunded