Transcripts and call reasons for recorded calls; summaries in development.
Call AI transcribes recorded calls and tags the call reason for review. Today transcription runs locally with rule-based reason and sentiment tags and a manual-review queue; AI-written summaries, suggested follow-ups and the customer link are in development. Any customer message is approved by a person.
Who it helps
Teams that handle many customer calls and need to know what was agreed.
The problem
Listening back to calls does not scale, so details and promises are lost.
Key features
- Searchable transcripts (local transcription, quality limited)
- Call reasons (rule-based tagging, in development)
- Brief summaries (in development)
- Suggested next actions and draft follow-ups (planned)
- Human approval before any customer message
How the workflow runs
- A recorded call is imported with consent settings applied
- Transcript and rule-based tags are generated
- A reviewer checks the tags (summaries and suggested actions in development)
- Staff approve, edit or discard any draft follow-up
Where AI helps, and where rules stay in charge
Summaries and sentiment are aids for review, not facts about a person. Nothing is sent to a customer without approval.
Required integrations and access
- Call recording enabled at the provider with suitable notice and consent
- Retention and deletion settings agreed before launch
Customization options
- Call reason categories per business
- Sentiment shown only as a review aid