Product
Promise Track.
A commitment accountability agent: every promise made in a call, email, or thread gets captured in its exact words, linked to the account and the owner, and chased to fulfillment before the customer has to ask where it is.
Runs where your conversations live. Your ledger, your database.
01 · The Problem
Every promise is a deadline nobody wrote down
Nobody drops a commitment on purpose. They drop because a promise made at minute 43 of a call has no system of record. It lives in the owner's memory, a sticky note, a channel that scrolled away.
By the time it resurfaces, it is usually the customer doing the resurfacing.
Every service team knows the line: we only find out a promise slipped when the customer asks about it. That isn't a careless team. That's what happens when follow-through depends on whoever happened to take notes.
30+ / wk
Commitments a single customer-facing team makes across calls, email, and chat. Almost none written down where anyone could find them.
Zero
Systems where "I'll get that over to you by Friday" records itself. It lives in memory, goodwill, and whoever took notes.
The customer
Who usually notices first when a promise slips, which means by the time you know, the cost is already paid.
02 · The Pipeline
Four tools, one record, nothing invented
Every conversation runs the same chain. Nothing becomes a tracked commitment without its source sentence, a confidence score, and a classification. Anything ambiguous gets asked about, not assumed.
The chain
- Ingest the call, email, or thread
- Extract commitments verbatim
- Link to account, project, and owner
- Monitor to fulfillment, escalate on silence
| Sentence from the call | Object | What happens |
|---|---|---|
| "I'll have the revised memo to you by Friday." | commitment.create() | Tracked with owner, counterparty, due date, and the source sentence. |
| "We should probably revisit pricing next quarter." | suggestion · no object | Logged as context, never chased. No task is invented from a hedge. |
| "Can you send over the security questionnaire?" | request.create() | Flips direction: a promise owed by your team, tracked the same way. |
Live · The Dashboard
Every promise, on the record
03 · Escalation, Visible
It nags, so your customers don't have to
An accountability system is only trustworthy if you can see its judgment. Every policy is a plain sentence, not a JSON blob buried in config, and every reminder, hold, and escalation lands in the same log as every fulfillment, with the reason attached.
- A commitment with no activity 48 hours before its deadline sends its owner a reminder.
reminder_policy - Two unanswered reminders escalate to the owner's manager, source quote attached.
escalation_chain - Extractions below 0.75 confidence never enter the queue without human confirmation.
review_threshold
04 · The Math
Memory vs. Promise Track
| Dimension | Memory | Promise Track |
|---|---|---|
| Where promises live | Memory, notebooks, scrolled channels | One ledger, linked to accounts and owners |
| Follow-through | Goodwill and luck | Monitored, reminded, escalated by policy |
| Evidence | "I'm pretty sure I said…" | The exact sentence, timestamped and linked |
| At-risk visibility | After the customer asks | 48 hours before the deadline |
| Handoffs | The new owner inherits nothing | The new owner inherits the full record |
05 · Sovereign, And Yours
Runs where your conversations live
The transcripts, threads, and promises this system reads are among the most sensitive records your company produces. They stay in your environment. Extraction runs locally, and the ledger is your own database, not rows in someone else's SaaS.
On your infrastructure
Extraction, classification, and escalation logic run as a dedicated service you control end to end, not a black box you're renting access to.
Your data stays yours
Every commitment, source quote, and decision is your own audit trail in your own Postgres instance. Sensitive records inherit the permissions of the conversation they came from.
Every promise,on the record.
Want to see it run against your own meetings, your own threads, your own follow-ups? We'll wire it up before your next QBR.
Schedule an infrastructure auditAlso from Zero Token Labs
Drafting Room.
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Deal Ledger.
A CRM auto-update agent: every call, email, and Slack thread a rep has gets read, checked against your rules, and written to the CRM, usually before the rep has hung up the next call.