One summary that keeps up
What the client wants and where it stands, in a sentence or two, rewritten after every message. Each topic they raised opens its own summary.
AI Analysis sits beside every conversation with who the client is, one summary of what they want and where it stands, what has been done so far, and every change your team made, so whoever opens it knows the story.
Connect your web chat & social account in under 3 minutes.

What it does
No setup, no prompting. The analysis follows the conversation from the first message and rewrites itself as it goes.
What the client wants and where it stands, in a sentence or two, rewritten after every message. Each topic they raised opens its own summary.
Times offered, bookings made, moved or cancelled, forms sent and answered, and handovers to the team, listed from what actually happened, never from the AI's reading.
Won, Lost or Open, hot, warm or cold, and the conversation's tags, set from the panel and kept on the record.
In the product
The panel starts with the client record and ends with an Activity tab that writes down every change your team made, with the value before and after.
Photo, name, country, phone, email and the channel they wrote from, with the full record one click away.
The client's latest earlier conversations, each with its topic and whether it was won, lost or still open.
Every claim, tag, status change and booking your team made, with who did it, when, and the value before and after.

Where it pays off
P / 1
The summary and the steps taken mean whoever claims a conversation starts with what happened and what is needed, not a scroll through the transcript.
P / 2
When the assistant had no answer, AI Analysis says what the client asked and lets you add the answer to your FAQs from the panel, so the next client gets it.
P / 3
The Activity tab keeps every change your team made with its before and after values, so a status or a booking never moves without a name on it.
Stack comparison
Integrations
Fellix reads and writes to your CRM, storefront, calendar and helpdesk — so every conversation starts with real customer context, and every outcome lands back in the stack your team already works in.
Built to work together