AI analytics agent
Listens to calls, reads conversations, scores sentiment and assembles reports from your CRM data. In the morning you get a digest: what went up, what went down, why, and who to contact today.
What it does
Reviews every call, not a sample
SIP call transcripts are analysed in full. A head of sales cannot listen to every conversation — the agent can.
Scores sentiment
It flags where the customer was unhappy, where the conversation fell apart, and where an objection went unanswered.
Builds the reports itself
Recurring cuts by pipeline, channel and rep without a manual export. Delivered to Sheets or posted to Slack.
How it works
- 01
Listens to every conversation
Each SIP call transcript and every thread is analysed in full rather than sampled. A head of sales cannot listen to all of it — the agent can.
- 02
Labels and counts
Topic, objections, sentiment, script adherence, outcome. Conversations turn into data you can actually report on.
- 03
Builds the recurring cuts
Pipeline, channels, reps, loss reasons — with no manual export. The report is described in words rather than assembled in a builder.
- 04
Delivers a conclusion, not a table
A morning digest: what went up, what went down, why, and what to do about it today. Exported to Sheets or posted to Slack.
When you need it
Quality assurance in sales
Instead of spot-checking ten calls a month, every conversation is scored against your checklist and the ones worth reviewing in person are listed.
Finding why conversion dropped
The agent cross-references conversations, channels and stages and shows where deals are actually being lost, rather than just reporting the drop.
Reporting for the owner
A regular summary in the language of decisions: where the money is, where the risk is, who to contact. No request to an analyst, no waiting for Monday.
What changes in analytics
The report stops being a separate job someone does by hand at month end. The data comes out of the conversations continuously, and the human works on decisions instead of exports.
Channels and integrations
- SIP transcripts
- Google Sheets
- Slack
- CRM reports
Frequently asked questions
Do we need an analyst to configure a report?
No — the report is described in plain words. If new fields or cuts are needed, the AI developer agent handles the schema.
Do we need a separate BI system?
No. Reports live inside the CRM and export to spreadsheets when you need them. There is no extra stack to stand up.
How accurate is the sentiment scoring?
Every score comes with the quote it was based on, so it is visible and can be challenged. It is a marked-up passage, not an opaque number.
How does the agent decide a conversation went badly?
By your checklist and by the conversation itself: an objection left unanswered, the customer repeating a question, the tone sharpening, a call cut short. Every mark comes with the quote behind it, so it is visible and can be challenged.
What does it take to get this running?
Connected telephony and access to the message threads — from there the agent works on what is already happening. There is no separate labelling of historical data to do first.
Does this replace an in-house analyst?
No. It removes the manual report assembly and the impossible task of listening to everything, but framing the questions and making the decisions stay with a person.