Automatic summaries
A concise summary of every interaction, with no manual note-taking.
After every call, agents stop serving customers and start typing: wrap-up notes, disposition codes, a CRM entry. It is repetitive, inconsistent, and it adds up — lengthening handle time and delaying the next customer in the queue.
Automatic summaries remove that burden. Feelingstream generates a concise, structured summary of every interaction, so the record writes itself and agents stay focused on the conversation.
Consistent notes, without the typing
Manual notes vary wildly from agent to agent — some thorough, some barely a line. Automatic summaries produce a consistent, structured record for every interaction, so a colleague picking up the case later sees the same quality of detail every time.
Free up time on every interaction
After-call work is one of the largest, least-visible drains on contact-centre capacity. Automating it:
- Cuts the admin at the end of each call
- Lets agents handle more conversations without rushing customers
- Reduces the repetitive workload that drives agent burnout
Works across every channel
Because calls become text through speech-to-text and chats and emails are already text, summaries are generated the same way across voice, chat and email — one consistent record of every customer contact.
Where to go next
- Pillar guide: The guide to efficiency with AI
- Why it matters: Why use automatic summaries
- Related use case: Reduce after-call work
Want to see automatic summaries on your own conversations? Book a demo.
Frequently asked questions
- What goes into a summary?
- A concise, structured overview of the interaction — what the customer wanted, what happened and any next step — generated automatically from the conversation, ready to drop into your CRM.
- Does this work for chat and email too?
- Yes. Chats and emails are already text, and calls become text through speech-to-text, so summaries can be generated consistently across every channel.
- How is customer data handled in summaries?
- Summaries follow the same data-security controls as the rest of the platform, including the ability to mask personally identifiable information. See the data-security page for details.