Every suggestion has a quote.
If the model can't find a verbatim line from the transcript, the suggestion is dropped before it reaches the queue.
Zero Entry watches every call your team records. After each one, AI proposes the CRM field updates: next steps, close date moves, amount changes. Each backed by a verbatim quote from the transcript. The rep clicks accept and it's in Salesforce or HubSpot.
Then they forget half of it. Notes are vague, next steps are missing, close dates never move. The result is a CRM that nobody trusts and a forecast that bears no relation to what was said on the calls.
Same recording flow your team already uses. Nothing new for the rep to remember.
GPT-4o extracts next steps, close-date moves, amount changes, and stage signals, each with a verbatim quote.
Suggestions land in a per-deal queue. Quote on the left, proposed value on the right.
Accept pushes to Salesforce or HubSpot via your existing OAuth connection. Audit trail logs every push.
The rep keeps the keys to the CRM. We just remove the typing. If a suggestion is wrong, it's rejected. If a suggestion is right, accepting it is instant.
If the model can't find a verbatim line from the transcript, the suggestion is dropped before it reaches the queue.
Uses your existing OAuth connection. NextStep, CloseDate, Amount, StageName, Description. Out of the box.
Who approved, what changed, source quote. Stays in the audit log for compliance reviews.
Open the deal, see what changed since the last touch, decide in 30 seconds.
Threshold tuned at the platform level; reps only see proposals the model is confident about.
Push failures keep the suggestion in the queue with the error inline, so the rep can edit and retry.
Sandbox connection, one of your recent recordings, live in 20 minutes. No slides.