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A deal at risk is an open opportunity showing signs it will slip: replies drying up, meetings getting missed, the conversation narrowing to a single contact. RevSure's Deals at Risk agent watches those signs on every open opportunity and flags the ones losing momentum while a rep can still act. It reads reply patterns, meeting attendance, and how much of the buying group is still engaged, then names the specific problem and the next best action that fixes it, so a deal going quiet gets worked instead of surfacing on the forecast call three days before quarter close.
The signal is there before the close date moves
Most deals die slowly and in plain sight. The champion stops replying, a meeting gets pushed and never rebooked, the thread narrows to one polite contact who no longer has the room. By the time the close date slips, the decay is weeks old.
In its May 2026 CSO survey, presented at the Gartner CSO & Sales Leader Conference, Gartner found that sales organizations giving reps AI-enabled next best actions are 2.6x more likely to achieve commercial growth. The same research found buying groups with low dysfunction were 13 times more likely to produce high-quality deals. Both point at one thing. Deals turn on whether the right person acts on the right signal in time, and on whether the whole buying group stays in the conversation. A weekly pipeline review misses both, because it reads a static stage field, not the movement underneath it.
Why the CRM stage lies to you
Ask a RevOps team to reconstruct why a deal died and you get an archaeology project. One analyst at a B2B software company described stitching a single closed opportunity back together by hand, pulling the deal history out of Salesforce, then pulling engagement data out of a separate intent tool, just to answer who was actually involved and whether the champion ever engaged. That work happens after the loss, when it teaches you nothing you can still use.
The stage field says "commit." It does not say the economic buyer went dark twelve days ago, or that the only person replying is the one who cannot sign. Risk lives in the activity, and the activity sits in five systems that do not talk to each other.
How the Deals at Risk agent decides
The agent runs on the GTM Harness and reads from the Full Funnel Data Graph, so it compares a deal's current activity to how healthy deals behave at the same stage, not to a generic risk score.
Each morning it re-reads open opportunities and rechecks any deal whose engagement changed in the last day. It looks at inbound replies, meeting attendance, and how many contacts in the account are still active. When a deal falls off its stage-normal pace, the agent diagnoses the reason in words a rep can use. Single-threaded to a contact who has gone quiet. Champion engaged but no economic buyer in the thread. Meetings slipping without a reason. Then it proposes the save that matches the diagnosis, for example multi-threading to the economic buyer this week, or re-engaging a champion who has stalled.
Nothing fires on its own. The agent posts the flag and the recommended action to the rep in Slack and writes a risk flag to the CRM opportunity. If the rep dismisses it, the flag reverses. That is the Propose, Approve, Commit, Roll back loop the whole Harness runs on, so a flag is a prompt to act, never an action taken behind the rep's back.
Take the deal sitting in commit at a six-figure value that the forecast still counts. The agent reads that the champion has not replied in twelve days and missed the last call, diagnoses it as single-threaded with a quiet champion, and tells the rep to bring the economic buyer in before quarter close. Same deal, three weeks earlier, while it can still be saved.
What it changes
The 2.6x figure from Gartner is a statement about timing. Reps who get the next best action are not smarter about their deals, they are earlier. A risk worked in week six of a quarter has options that the same risk in week twelve does not. Multi-threading takes time. Re-engaging a cold champion takes time. The forecast call is where you find out you ran out of it.
The buying-group half matters just as much. A deal held up by one contact is a deal one reorg or one ignored email away from stalling. When the agent counts how many people in the account are still engaged and pushes the rep to widen the thread, it is working the exact variable Gartner tied to a 13x difference in deal quality. The forecast gets more honest as a side effect, because the deals in commit are the ones with more than one person carrying them.
The channel you flag late is a deal you explain in the loss review. The one you flag early is a deal you might still close.
Related reading
- The agent hub and the Deals at Risk agent page
- Pipeline Acceleration (the platform pillar that owns deal risk)
- Forecast accuracy: how the Forecast Variance agent flags the commit that won't land
- Account scoring: how the Hot Accounts agent ranks accounts