DEAL HEALTH + STRATEGY

Expose the gaps.
Do not manufacture confidence.

Use AI to map evidence across complex opportunities without turning weak signals into complete qualification or fake win probability.

WORKFLOW PILLAR

03

PRIMARY OUTPUT
DEAL GAP + EVIDENCE MATRIX

01 / INPUT

Collect only what the job needs.

02 / ANALYZE

Use AI where synthesis helps.

03 / VERIFY

Check the evidence.

04 / APPLY

Keep the decision human.

05 / RESULT

DEAL GAP + EVIDENCE MATRIX

OPEN A USE CASE

Where AI can help without taking over.

Each use case stays tied to a real artifact or control point rather than an abstract capability claim.

01 / MEDDPICC evidence

Map confirmed, partial, contradicted and unknown evidence across notes, email, CRM and transcripts.

ARTIFACT / QUALIFICATION MATRIX

02 / Champion strength

Separate a friendly contact from evidence of influence, access, advocacy and internal selling behavior.

CONTROL / CHAMPION CHECK

03 / Buying process

Organize known steps, missing stakeholders, approvals, procurement and decision dependencies.

ARTIFACT / BUYING-PROCESS MAP

04 / Risk + strategy

Surface contradictions, unsupported assumptions and the questions that need to be answered next.

ARTIFACT / DEAL-GAP BRIEF

FAILURE MODE / WATCH THIS

Completeness can be an illusion.

A polished qualification summary can hide missing evidence. The workflow should preserve partial, contradicted and unknown fields rather than reward a model for filling empty spaces.

HUMAN AUTHORITY / REQUIRED

AI prepares. People decide.

AI can surface patterns and missing evidence. It does not own qualification, deal strategy, forecast position, negotiation posture or the conclusion that a buyer is committed. Those remain accountable human decisions.

Inspect the review standard →    Read the related field note →