CRM stage design
Define stages by the customer state that has actually changed.
Agents01 02 03
Failed or incomplete first runs are refundedBuyer-Aligned Pipeline Design
Build pipeline stages around buyer progress—not seller activity
Replace demo, proposal, and negotiation stages with customer decisions, measurable exit evidence, risk checkpoints, and rules for reopened decisions.
What the Agent prepares
- Customer-led stage model
- Exit evidence and checkpoint definitions
- Backward rules and forecast boundaries
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Turn deal signals into a reviewable sales decision
Replace demo, proposal, and negotiation stages with customer decisions, measurable exit evidence, risk checkpoints, and rules for reopened decisions.
The Agent separates customer evidence, seller interpretation, assumptions, contradictions, and unknowns before recommending a next action.
Use it for
Forecast governance
State what each stage does and does not imply.
Pipeline inspection
Move deals backward when evidence shows a decision reopened.
Example task
Redesign our CRM stages around buyer evidence
What the Agent prepares
- Customer-led stage model
- Exit evidence and checkpoint definitions
- Backward rules and forecast boundaries
How it works
Frame the decision
Define the customer decision, scope, participants, timing, and seller constraint.
Audit the evidence
Apply the Skill method to observed actions, records, direct statements, and missing proof.
Commit the next check
Return a bounded recommendation, owner, review date, and evidence that would change it.
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?
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