Log project notes when AI calls wrap up

When a call or conversation completes in Relevance AI, add a detailed comment to the associated task in Pipefy with key next steps.

Try:

See all Relevance AI + Pipefy integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Relevance AI Explore Relevance AI →

Triggers

Agent run completed

Fires when an Relevance AI agent finishes a task or run.

Call or conversation completed

Fires when an Relevance AI agent finishes a call or conversation.

Lead qualified by agent

Fires when an Relevance AI agent marks a lead qualified.

Actions

Run an agent or tool

Triggers an Relevance AI agent or tool with a set of inputs.

Start an outbound call

Has an Relevance AI agent place an outbound call.

Add a lead to a campaign

Adds a lead to an outreach campaign in Relevance AI.

Pipefy Explore Pipefy →

Triggers

New task created

Fires when a new task, job or item is created in Pipefy.

Task completed

Fires when a task in Pipefy is marked complete.

Due date approaching

Fires when a task's due date in Pipefy is coming up.

Status changed

Fires when a task, job or project changes status in Pipefy.

Actions

Create task

Creates a new task, job or item in Pipefy.

Update task

Updates a task's status or assignee in Pipefy.

Add comment

Posts a comment on a task in Pipefy.

Assign task

Assigns a task in Pipefy to a team member.

Create follow-up tasks after agent execution When an agent run completes in Relevance AI, automatically create a task in Pipefy summarizing the findings for team review. See details

Run autonomous agent tools from new tasks When a new task is created in Pipefy, initiate an automated tool run in Relevance AI to handle preliminary research or data processing. See details

See all Relevance AI + Pipefy integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Log project notes when AI calls wrap up” between Relevance AI and Pipefy?

Yes — describe it in the box above and Knit's Integrations Agent researches Relevance AI and Pipefy's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

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

What is the advantage of linking AI agents in Relevance AI to project software in Pipefy?

It lets human team members assign complex workflows in Pipefy that AI agents perform in Relevance AI, returning results directly into project tasks without manual oversight.

Can AI agent completions update task statuses on project boards?

Yes, when Relevance AI finishes running an agent or qualifies a lead, it can automatically move tasks or add project updates in Pipefy.