Three agents in the platform, for sales, support and churn, plus Ask Compethic. All of them answer from the same governed data as the dashboard and show their sources. Your own agents can read it too, with the sign-in and the permissions you set.
Which issue costs us most this month?
|
Sources: 1 280 mentions · App Store, support mail, calls
They read the same signals, structured the same way. What differs is the questions each one is built to answer, and who it answers to.
Reads the signals that point to demand: feature requests, strengths customers praise, calls that closed won, accounts asking about the next tier. Hands the account owner a reason to call, with the quotes behind it.
Answers to: sales and account owners
Groups mail, chat and calls by cause as they arrive, writes the one-line cause the team can use, flags escalations and rising issues, and watches whether they get resolved.
Answers to: customer service and its head
Watches every customer for churn signals across channels, keeps the churn-risk snapshot current, prices what is at stake, and alerts the account owner when a critical customer writes in again.
Answers to: customer success and leadership
The agents propose the cause, the priority and the customer to call. Your team decides what ships, who is called and what is said.
Any classification can be confirmed or corrected by your people. Corrections are kept, so the numbers, the alerts and the reports follow.
An agent's answer links to the mentions, the customers and the channels behind it. Nothing has to be taken on trust.
We set up the channels and the vocabulary with you, review the first weeks of output together, and keep a person on the other end after that.
Agents propose the cause, the priority and the customer to call. Your team decides what ships, who is called and what is said.
Any agent can summarise feedback. The difference is what sits underneath: signals that are unified, classified and priced before an agent ever reads them. Hover a layer.
Context. The shared memory every agent reads: the same structure, the same customers, the same numbers as the dashboard.
Compethic supplies all six, to its own agents and to yours.
Pre-built analyses the agent runs the same way every time: top issues by revenue at risk, the churn-risk customers behind an issue, NPS drivers, a competitor comparison, a customer lookup. Each one reads the platform, not a spreadsheet export.
Pre-built analyses the agent runs the same way every time: top issues by revenue at risk, the churn-risk customers behind an issue, NPS drivers, a competitor comparison, a customer lookup. Each one reads the platform, not a spreadsheet export.
Ask Compethic sits next to every chart. Ask about the number you are looking at and get the mentions, the customers and the trend behind it.
Mention Compethic in a channel. The answer lands in the thread, shared with everyone in it, with its sources.
Claude, ChatGPT and any client that speaks MCP connect with OAuth 2.1. They read the same governed data with your permissions, nothing more.
The same agent writes the weekly intelligence report: what changed, which issues are critical, which customers are at risk, what to do.
Everything Compethic does follows one loop.
Connect one channel and ask the first question in the same session.