Every question that went unanswered, every conversation handed to a human and every answer scored by quality supervision builds a picture no survey gives you: what your customers are actually trying to get done.
Records without sensitive content · redaction before writing, not after · retention set per customer
A question with no coverage in your materials is not lost. The system stores its fingerprint, counts repeats and orders the list by how often it comes up. After two weeks you have an editorial queue built from real conversations rather than from what somebody assumed was important.
The audit log records every turn in append only form, after redacting document, account, card and phone numbers. You know what happened and when, without keeping in the log what does not belong there.
Answers are scored by a rule layer and, on a sample, by a second model acting as reviewer. Scoring runs beside the critical path and never blocks an answer, so the customer never waits for a quality check and you get a number instead of an impression.
A signal is worth as much as the decision it triggers. These three are triggered today.
A module that collects everything is convenient until the first audit. That is why these boundaries sit in code.
| Item | Common approach | Here |
|---|---|---|
| The text of an unanswered question | Full text kept forever | A fingerprint and a counter, plus a masked sample with an expiry |
| Sensitive data inside a conversation | Redaction at viewing time | Redaction before writing: what we do not want in the log never gets there |
| The agent's decision trace | Full prompts and tool outputs | Codes, versions and measures, without raw conversation content |
| Retention period | One default for everyone | Set per customer and enforced by a daily job |
The foundation, meaning recording and scoring, works. The layer that turns it into an account view and a sales alert is still being built.
Your own definition of a good fit, checked during the conversation and visible on every enquiry.
Notify meWhat a given company reads and how often it comes back, gathered into one arc of interest.
Notify meEvery conversation, message and meeting from one company on a shared timeline, instead of in four places.
Notify meA notification the moment an interesting account returns to the site or asks to be contacted.
Notify meConversations, enquiries, booked meetings and the ones that happened, in one place with a weekly trend.
Notify meDuring the demo we run Ada on your content and show what the list of missing topics looks like after a handful of conversations.