The AI Close Predictor analyzes your open estimates — size, service type, frequency, days since sent — and scores each one by close probability with a concrete recommended action.
Know which open estimates are most likely to close — before you spend time following up on the wrong ones.
Try it freeThe AI Close Predictor is a one-click analysis that runs on your open estimates page. Claude AI evaluates each estimate against signals like contract size, service frequency, property size, and how long ago it was sent — and returns a 0-100 close score, a confidence level, a reason for the score, and the single best next action.
Navigate to Estimates in your Bolsivo dashboard. Any open (non-approved, non-lost) estimates are eligible for analysis.
The predictor sends your open estimates to Claude AI for scoring. No data leaves Bolsivo — the analysis runs server-side.
Each estimate gets a score (0-100), a confidence level (High / Medium / Low), a reason the score is what it is, and a recommended next action.
Follow the recommended action for each — whether it's calling now, sending a follow-up, or archiving a stale estimate.
Without a score, it's easy to chase the newest estimate while the highest-probability one sits untouched. The predictor gives you a prioritized action list.
The AI considers the full picture: a $12,000 annual contract estimate sent 2 days ago is scored very differently from a $400 one-time job sent 3 weeks ago.
As estimates age or new ones are added, re-run the analysis to get fresh scores. The predictor reflects your current pipeline state every time.
What data does the predictor use?
Estimate amount, service type, frequency (one-time vs recurring), property size, days since the estimate was created, and current status.
Does it access client contact information?
No. The predictor only sees the service and financial details of the estimate — not the client's name, email, or phone number.
How accurate is the score?
The score is a probability signal, not a guarantee. Higher scores mean the observable signals are stronger. A 90 score doesn't mean they'll sign; it means the known data suggests a high likelihood compared to your other open estimates.
How is this different from the Lead Scoring feature?
Lead Scoring evaluates new prospects from Google Places before any contact is made. The Close Predictor evaluates existing estimates where contact has already occurred and a proposal is in play.
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