Real-time deal commitment health is the ability to see, at any moment, the state of every commitment across every active deal — who committed to what, whether it's been fulfilled, what's overdue, what's blocked, and what's at risk. It's what CRMs were never designed to provide.
Why CRM Stages Don't Show Health
A CRM tells you a deal is in "Proposal Sent." That's a milestone. It's not a health indicator. The deal could be thriving — the champion is circulating the proposal internally, legal has started their review, and a technical follow-up call is scheduled for next week. Or it could be dying — the proposal was sent two weeks ago, the champion hasn't responded, and three follow-up emails have gone unanswered.
Both scenarios show the same CRM stage. Only commitment-level data reveals the difference.
What Commitment Health Looks Like
A commitment health view shows, for every active deal:
Open commitments — what's been promised (by both sides) that hasn't been completed yet.
Overdue commitments — what's past its expected completion date. The number and age of overdue commitments is the strongest predictor of deal risk.
Blocked commitments — what's waiting on a dependency, a decision, or a handoff. Blocked commitments represent deals that can't progress until something else happens.
Fulfillment velocity — how quickly commitments are being made and completed. A deal with high fulfillment velocity is healthy. A deal where commitments are accumulating faster than they're being resolved is at risk.
Agent-originated exposure — how many commitments were generated by AI agents, and whether any of them conflict with human commitments or deal context.
For Sales Leaders: Visibility Without Surveillance
Commitment health visibility serves a critical need for sales managers and leaders: the ability to see which deals need attention without requiring reps to self-report or sit through pipeline reviews.
This isn't surveillance. It's the same data the SE is using to manage their own execution. The difference is that leadership can see it aggregated across the team — identifying patterns like consistently overdue dependencies on engineering, specific deal stages where commitments tend to stall, or agents generating misaligned commitments.
The result is coaching based on execution reality rather than CRM stage reviews. Instead of asking "why is this deal still in Proposal Sent?" a manager can ask "I see the engineering review has been pending for nine days — what's blocking it, and how can I help?"
Execution intelligence makes this possible by capturing commitment data across every system the team uses and presenting it in a single, real-time view — per deal, per rep, per team.