Meetings & Voice · Integration
Bland AI
Add Bland AI to your product for your customers, and give your AI agents governed access to it.
Bland AI runs automated phone calls driven by a conversational pathway rather than a single prompt, which is the meaningful difference: a pathway is a structured flow with branches, so the call can follow a script that adapts rather than improvising freely. That makes pathways the object worth exposing, because editing one is a product feature and not a configuration chore. Calls carry a transcript and an outcome, both available after completion. Numbers are provisioned per account and calls are metered per minute, so a customer bringing their own key keeps that cost on their side. fastn scopes each customer's key and audits every call placed on their behalf.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let a customer connect their own Bland AI account so automated calls run on their number and their spend.
Trigger an outbound call from an event in your product rather than a manual list.
Configure or select a conversational pathway from inside your product.
Read the transcript and outcome after a call, and attach both to the right record.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent places a call within governed permissions, with the action audited per tenant.
An agent reads outcomes across calls and reports which pathway performs best.
An agent extracts the answer a call was placed to obtain, without a human listening back.
Example prompt
Which calls completed their pathway today, and what outcome did each reach?
Set up Bland AI in 4 steps
- 01Enable the Bland AI connector from your fastn dashboard.
- 02Have each customer authorise their own Bland AI account, so calls run under their credentials rather than a shared key.
- 03Decide which meetings, calls and participants your product needs, map those fields, then enable the actions and triggers you want.
- 04Call it from your product and expose it to your agents through the same governed connection.
Why teams use the Bland AI integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Bland AI integration without building it. Your customers connect their own Bland 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 a Bland AI update is not your on-call problem.
- One integration serves your product and your agents. The same governed Bland 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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How do I add a Bland AI integration to my product?
Enable the Bland AI connector in your fastn dashboard, then let each customer authenticate their own Bland AI account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Bland 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 Bland AI account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Bland 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 Bland 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 places a call within governed permissions, with the action audited per tenant.
Who maintains the Bland AI integration?
fastn does. When Bland 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 Bland 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 Bland AI account rather than through a shared one.
Can I get recordings, transcripts and outcomes back from Bland 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 Bland AI integration?
A common starting point: let a customer connect their own Bland AI account so automated calls run on their number and their spend. 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 Bland AI integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Bland AI does not change your per-connector cost. You can start free with 3 connected accounts.
Add Bland AI to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.