Agents
Make every conversation a structured record
The Audio Agent transcribes calls and meetings, works out who said what, and turns the discussion into the decisions, actions and data your systems can use.
What it does
From raw audio to something you can act on
A recording on its own is hard to use. The Audio Agent transcribes the audio, separates and labels the speakers, and then reads the transcript for the things that matter: decisions taken, commitments made, dates agreed and figures quoted. The output is a structured summary and a set of records, not a wall of unattributed text nobody rereads.
Accurate transcription
Converts speech to text across accents and domains, with timestamps kept.
Speaker attribution
Separates and labels speakers so each statement is tied to who made it.
Structured extraction
Pulls decisions, actions, owners and dates into a record, not just a summary.
Inputs it accepts
What you feed it
Call recordings
Sales, support and operations calls in common audio formats.
Meeting audio
Internal and external meetings, single or multi-speaker.
Existing transcripts
Raw transcripts that need attribution, structuring and extraction.
Decisions it makes on its own
What it captures without asking
Where the audio is clear and speakers are identifiable, the agent produces the transcript, assigns speakers, and drafts the structured record — actions with owners, decisions with context, and any figures or dates mentioned. It links each extracted item back to the moment in the audio it came from, so anything can be checked against the source in seconds rather than trusted blindly.
Drafts action items
Captures commitments with an owner and a due date where one was stated.
Records decisions
Notes what was decided and the context around it, not just that a decision occurred.
Links to the source
Every extracted item points back to its timestamp for quick verification.
What escalates to a human
Where a person confirms
Unclear audio
Passages that are inaudible or heavily overlapped are marked rather than invented, and flagged for a person to confirm against the recording.
Ambiguous ownership
When it is unclear who owns an action or whether a decision was final, the agent presents the passage and asks for confirmation instead of assigning it.
Systems it connects to
Where it reads and writes
Meeting and call platforms
Ingests recordings from conferencing and telephony systems.
CRM and task tools
Writes actions, notes and follow-ups into the systems teams already use.
Data products
Stores structured transcripts and extractions as governed, searchable records.
A worked example
A customer call
A forty-minute customer call is recorded with three participants. The agent transcribes it, labels the three speakers, and extracts four commitments: a follow-up quote by Friday, a technical review next week, a pricing question to confirm internally, and a renewal date. Three have clear owners and are written to the CRM as tasks. The pricing commitment is ambiguous about who owns it, so the agent flags that one line for the account manager to assign, and leaves the rest done.
Questions
Frequently asked
- Does it handle multiple languages?
- It transcribes across a range of languages and accents. The important control is the confidence threshold, which decides when a passage is confirmed automatically and when it is flagged for review.
- Where is the audio processed?
- Inside your deployment. For sensitive recordings, the agent can run on-premise or air-gapped so audio never leaves your environment.
- Can it write straight into our CRM?
- Yes, within the actions you authorise. Many teams begin with the agent drafting records for confirmation, then let it write routine follow-ups directly once it is trusted.
Turn a real call into records
Send a recording and we will show you the transcript, the speaker attribution and the structured actions the agent produces.