Most B2B deals die quietly. The motion runs on instinct, and instinct doesn't repeat, compound, or survive the next hire.
The same pattern across every B2B stage: different symptoms, same root cause.
Buyers arrive having already done the research. The questions that close deals now are about urgency, decision committee, and gap. Not about finding the pain.
No stage logic. No defined exit criteria. Opportunities sit in the pipeline long past dead. Nobody knows which deals are actually moving and which are noise.
Tools like Gong and HubSpot AI score deals that already exist. They don't build what those deals run on. Every loss is a wasted lesson until a win/loss system captures it.
| Type | The question |
|---|---|
| Situation | Where is pipeline coming from today, and who owns it? |
| Problem | What's the single biggest reason deals stall before close? |
| Implication | If this stays unresolved for another quarter, what does that cost you? |
| Gap | What would have to be true for you to move on this in the next 30 days? |
| Committee | Who else needs to say yes, and what's their biggest concern? |
| Deal stage | Entry criteria | Exit criteria | AI layer |
|---|---|---|---|
| Discovery | Pain confirmed. Buyer engaged. First meeting taken. | Committee identified. Urgency and timeline stated. | Pipeline AI |
| Proposal | Business case built with buyer's numbers. Decision timeline confirmed. | ROI model shared. Champion briefed for committee. | Deal AI |
| Close | Contract sent. Procurement engaged. Signature pending. | Signed. Handoff to onboarding confirmed. | Forecast AI |
| Company | Stage | Days stuck | Health | AI signal |
|---|---|---|---|---|
| Acme Corp | Proposal | 3 | ● Green | Champion active. Committee meeting confirmed. |
| Beta Systems | Discovery | 14 | ● Amber | No reply in 10 days. Urgency signal weakening. |
| Gamma Labs | Proposal | 28 | ● Red | No decision maker engaged. Committee not mapped. |
| Delta SaaS | Close | 2 | ● Green | Contract reviewed. Procurement loop closed. |
Every stage has a different leak. The AI intervention is specific to yours.
Built for the buyer who already knows their pain. Surfaces urgency, decision criteria, and the gap between what they know and what they've decided.
The shortest documented path from first contact to signed deal. Built from what has already closed. One page. Ready to hand off.
Configured to how deals actually move, not the default stages it shipped with. Stalls flagged by AI before they become losses.
A structured review of your last 5–10 deals. What the pattern says about your real ICP. Losses stop being wasted.
We review your last 5–10 deals: won, lost, and stalled. We map where velocity breaks, which questions weren't asked, and which buying roles were never engaged. No prep required from you.
Discovery framework calibrated to your buyers. Playbook built from what has already closed. CRM stage logic wired to how deals actually move. Win/loss taxonomy from your real patterns, not a generic template.
Win/loss AI updates from every closed deal. Pipeline AI flags stalls before they go cold. Deal AI scores every active opportunity against the playbook. The system improves every time a deal moves.
CRM configured. Discovery framework in your reps' hands. Playbook documented and enforced. From this point, every deal is scored, every stall is flagged, and every loss feeds back into the next win.