Meetings & Voice · Integration
Otter.ai
Add Otter.ai to your product for your customers, and give your AI agents governed access to it.
Otter started as live speech to text and still behaves like it. The transcript appears while people are talking rather than being delivered afterwards, which is why it gets used for the meetings that were never a video call at all: an interview across a table, a site visit, a lecture. Its assistant will also join Zoom, Meet and Teams, and existing audio can be uploaded and transcribed, so a customer's Otter workspace usually holds a mix of all three sources. What an integration reads is a conversation and everything Otter derived from it, the transcript with speakers separated, the summary and outline, and the action items it pulled out. Programmatic access is a workspace-level feature on the enterprise plans, so it is worth confirming a customer has it before promising the connection. fastn keeps each workspace's key per tenant and maintains the interface.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let each customer connect their own Otter workspace so conversations reach your product wherever they were recorded.
Read a transcript with speakers separated, so your product can attribute a sentence to the person who said it.
Pull the action items Otter extracted and turn them into work in your own system rather than a list nobody revisits.
Cover in-room conversations as well as calls, since Otter records from the device when there is no meeting to join.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent answers a question from what a specific participant said, rather than from the summary of the whole meeting.
An agent turns the action items of a conversation into tasks and reports which have owners.
An agent finds every conversation in a workspace where a named topic came up and quotes the relevant part.
Example prompt
In yesterday's customer interview, what did the buyer say about pricing, and what action items came out of it?
Set up Otter.ai in 4 steps
- 01Enable the Otter.ai connector in your fastn dashboard.
- 02Have each customer create a key in their own workspace and authorise it, on a plan where the API is available.
- 03Choose which conversations your product reads and map the transcript, summary and action item fields you use.
- 04Call it from your product and expose the same governed connection to your agents.
Why teams use the Otter.ai integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an Otter.ai integration without building it. Your customers connect their own Otter.ai account inside your product and work their meetings, calls and participants there, with no per-customer code on your side.
- Handle the part that actually costs time: a call or a meeting is a real-time event, so a missed join or a dropped recording cannot be retried later. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an Otter.ai update is not your on-call problem.
- One integration serves your product and your agents. The same governed Otter.ai connection powers in-product features and gives AI agents scoped, audited access, so you let your product act on the conversations that happen by voice and video, not just the written ones without wiring it twice.
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CalendlyOtter.ai integration FAQ
How do I add an Otter.ai integration to my product?
Enable the Otter.ai connector in your fastn dashboard, then let each customer authenticate their own Otter.ai account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Otter.ai client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Otter.ai account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Otter.ai account and only ever sees their own meetings, calls and participants. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this Otter.ai integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent answers a question from what a specific participant said, rather than from the summary of the whole meeting.
Who maintains the Otter.ai integration?
fastn does. When Otter.ai changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Can my product schedule or act on Otter.ai conversations automatically?
Yes. Within the permissions each customer grants, your product can create a meeting, place or route a call, add participants, or react when one ends, all inside their own Otter.ai account rather than through a shared one.
Can I get recordings, transcripts and outcomes back from Otter.ai?
Yes, scoped per tenant and audited. This matters more here than in most integrations, because the substance of a call usually exists only in its recording or transcript, so a read that fails silently loses the thing you wanted.
What can I build with the Otter.ai integration?
A common starting point: let each customer connect their own Otter workspace so conversations reach your product wherever they were recorded. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the Otter.ai integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Otter.ai does not change your per-connector cost. You can start free with 3 connected accounts.
Add Otter.ai to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.