Bland AI

Bland AI Integrations

Put Bland AI to work with AI and enterprise-grade automation

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No Bland AI connector? The Agent builds one.

Web search for Bland AI's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.

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Not a block library. Real code.

Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Bland AI integration code for your exact logic.

Legacy iPaaS

  • Fixed library of pre-built steps — drag, drop, configure around the edges
  • Capped by whatever the vendor's already built
  • AI features bolted on after the fact

Knit Integrations Agent

  • Real, inspectable code for your exact Bland AI logic
  • Auto-builds a missing Bland AI connector itself
  • Native LLM connectors built in, not bolted on
Prompt "When a campaign contact is sent in Quentn, trigger an automated phone call using Bland AI."
from knit import Knit

client = Knit(api_key=KNIT_API_KEY)

@client.on("batch-completed")
def a2p_registration(event):
    return client.ai_agents.a2p_registration(
        integration_id=BLAND_AI_INTEGRATION_ID,
        record_id=event["id"],
        fields={
            "source": "Bland AI",
            "synced_at": event["updated_at"],
        },
        # ...maps the event to a real "A2P Registration" call
    )

Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.

Skip the engineering. Ship the workflows.

See what you can build with Bland AI on Knit

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See the APIs & webhooks enabling Bland AI Integrations

The real endpoints Knit's Agent can call to turn a plain-English use case into working Bland AI Integration code

Batch Completed

Triggers when a call batch finishes. Fires for batches that reach completed (every call ran) and completed_partial (the batch ended early but did dispatch calls); batches that end in failed do not fire. Only the 100 most recently created batches are polled.

Call Completed

Triggers when a phone call finishes. Each call is delivered once, after it completes, with its transcript, summary, analysis, recording URL and price already attached. Use the optional filters to narrow the trigger to one direction, batch, campaign or answered-by result.

Inbound Call Completed

Triggers when an inbound phone call to one of your Bland numbers completes . It fires once the call has ended — not when it starts — so the transcript, summary, analysis and recording URL are already attached. Note: inbound calls have no answered-by result, and when the number routes straight into a pathway the to field carries the pathway ID and from may be empty.

New SMS Conversation Message

Triggers when a new message arrives in an SMS conversation. Fires once per new message — the conversation re-fires each time its most recent message changes, with the message text in last_message . Reading conversations works on any plan; note that sending SMS through Bland is enterprise-only.

A2P Registration

Learn how to register your A2P brand using our API. This guide covers all you need to know about making a POST request, including required parameters, error handling, and response expectations.

Account Details

Returns call data for your account.

Add Call to Memory

Add an existing call to a memory.

Add Comment

Comment on an issue. Mention @norm to dispatch a Norm investigation.

Add Flag

Flag a moment on an attached call.

Add Library Voice

Add a shared library voice to your org so it can be used in your calls and TTS.

Enterprise-grade security

SOC 2 certified GDPR compliant ISO 27001 certified
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Customer Stories

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Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
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Huynh H
Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
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Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
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Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
A
Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
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Rohit Singh
GM, Payoneer Workforce Management

#1 in Ease of Integrations

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FAQ

Common questions about the Bland AI automation

Is there a pre-built Bland AI automation?

Not yet — Bland AI isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.

How does the Agent actually build the Bland AI connector?

It researches Bland AI's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Bland AI's aren't public.

How long does it take?

Minutes to build a first working version, not weeks — you test it against real Bland AI data before it goes anywhere near production.

What happens after the Agent builds it?

You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.

Could Bland AI become a real pre-built connector later?

Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.

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