A rep on your team is stuck. A procurement delay surfaced two weeks before quarter close. Legal is requesting custom contract terms. The stakeholder who was championing the deal has gone quiet.
The rep has two options: guess, or wait for you to weigh in.
One wastes time. The other risks the wrong move.
Why deals stall: what gets in the way
The answer almost always exists somewhere in your organization's history. Your team has navigated procurement delays before. You've beaten this competitor in deals like this one. A senior seller closed a deal with the exact same blocker eighteen months ago.
But that knowledge lives in closed deals no one looks at anymore. It walks out the door when tenured reps leave. It stays with the managers who remember it - and doesn't transfer to the reps who need it.
The rep facing the blocker doesn't know which deal to look at or who to ask. You're in back-to-back meetings. By the time you connect, the moment to act has passed.
The real gap: why identifying at-risk deals isn't enough
The gap isn't effort. Reps don't sit on blockers by choice. The gap is access. The knowledge exists somewhere in your organization's history - but only if it was captured in the first place. Most teams rely on sellers to log what happened. Most sellers don't, or can't, keep up. By the time someone goes looking, the history is incomplete and the moment has passed.
The answer wasn't another place to look. It was making sure the history was there to begin with - and findable the moment it mattered.
How Situation Search works: AI sales analytics meets deal history
Backstory captures that history automatically - every email, meeting, and conversation, without relying on sellers to log it. Situation Search makes it searchable.
Situation Search is a new capability in the Backstory MCP server. When a blocker or risk surfaces in an active deal, the rep's AI assistant (Claude, Copilot, ChatGPT) recognizes Situation Search as the right tool and calls it - no manual trigger needed, no re-explaining the deal context Backstory already has.
Reps can also ask directly: "How have we handled procurement delays like this before?" or "What worked the last time this competitor showed up in a deal like this?"
Situation Search matches the situation against the organization's deal history and returns the most comparable cases - what the situation looked like, what the team did next, and how it ended.
The rep gets coaching the moment they need it. Not in the next scheduled 1:1.
Pipeline risk management starts here: why this matters now
Sales teams spend significant time and money hiring experienced reps, running enablement, and building playbooks - and then watch that knowledge walk out the door. The gap between what an organization knows and what a rep can access in the moment a deal stalls is where pipeline risk lives.
Situation Search closes that gap. Not by adding another tool or another process, but by making the knowledge your team already has findable - inside the AI assistant they're already using, at the moment they actually need it. For revenue teams looking to reduce deal slippage and turn institutional knowledge into a repeatable advantage — this is how it starts.
Winning moves from your best deals don't stay with one rep or one manager. They become the standard for how your team handles the same situation next time.
Your next win is already in your data
Existing customer? Talk to your CSM about beta access.
Not a customer (yet)? See Situation Search in action.
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