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Three ways to hold a deal, and what each one cannot do.

Adding fields to the CRM, a revenue intelligence dashboard, and an agent wired to your own tools all read the same sources. Where they differ is what survives the reading.

What survives the reading: three ways to hold a deal beside the dealgraph, row by row.
RowMore CRM fieldsA revenue intelligence dashboardAn agent on your own dataThe dealgraph
What a value carriesA valueA value and a scoreA sentence, regenerated each timeEvidence, source, time and coverage
StructuringTyped in by a repExtracted, not keptRe-read every time; ask twice, get two answersEach fact durable, with its producer pinned
ValidationNonePicks one source silentlyPicks one source silently, differently next timeConflicts decided in a fixed order, loser kept with the reason
VersioningOverwritten on saveSnapshot of nowChange the prompt, every past answer changesAppend-only; company context versioned
UnknownsEmpty fieldMissing barGuessed or omittedRecorded as unknown or inferred absent, counted as a gap
CorrectionEdit the field, lose the historyNot possibleNot possibleOverride outranks the machine, permanently, with the author recorded
Your own agentsVia the CRM API, values onlyNot possibleAlready your agentMCP: typed facts with evidence and coverage
Survives a CRM migrationNoNoOnly the promptsYes; write-back is a projection

More CRM fields

A field holds a value and nothing else, so it cannot carry the statements behind a champion, the candidates that lost, or what the value was in July. The dealgraph writes the value back to those fields anyway, so nobody has to type it. Fields are right for values that are typed once and reported on.

A revenue intelligence dashboard

A dashboard reads the same calls and threads, scores them and shows the aggregate. What it extracted is not kept as a fact anyone can open, and a wrong bar cannot be corrected. Dashboards are right for aggregate views over what the CRM already holds.

An agent on your own data

An agent wired to your own tools reads everything and answers well, once. Nothing becomes durable, two sources that disagree are settled silently, and a changed prompt changes every past answer. An agent on your own data is right for a question you will ask once.

The dealgraph is what you need when the same question will be asked again, by someone else, later, and the answer has to be defensible.

Get better at selling every quarter.

Evidence-backed, AI-supported, on purpose. Not because a model improved, but because what you know about your deals finally accumulates instead of evaporating.