Integrations

Supercharge Pipefy with Relevance AI

Pipefy is a process management platform that helps teams automate workflows and manage tasks efficiently. With Relevance AI, you can elevate your process management by leveraging AI Agents to drive smarter decision-making and enhance operational efficiency.

Give your AI Agents Pipefy Superpowers

Pipefy streamlines process management with its intuitive platform, while Relevance AI empowers your workflows with intelligent data operations and AI Agents that can adapt and respond to changing needs.

Process Intelligence Mastery

The AI Agent learns and optimizes complex workflows in real-time, enhancing process efficiency across the organization

Predictive Workflow Orchestration

Leverages historical data patterns to anticipate bottlenecks and automatically adjust workflow routing for optimal performance

Cross-System Data Synthesis

Seamlessly connects and analyzes data across multiple pipes and tables to generate actionable insights

Tools

Equip AI Agents with the Pipefy Tools they need

Relevance AI integrates seamlessly with Pipefy to enhance your workflow automation capabilities.

Pipefy - Update Table Record
Modifies existing records in Pipefy tables by updating their title, status and other properties while maintaining data consistency
Pipefy - Look Up Table by ID
Retrieves detailed information about a specific Pipefy table using its unique identifier, including structure and configuration
Pipefy - Update Card
Modifies existing cards in Pipefy pipes by updating their title, due date, assignees and other attributes
Pipefy - Create Table Record
Creates new records in Pipefy tables with specified title and member assignments
Pipefy - Look up Card by ID
Retrieves detailed information about a specific card in a Pipefy pipe using its unique identifier
Pipefy - Update Table
Modifies existing Pipefy tables by updating their name, icon, and color scheme settings
Name
Pipefy API Call
Description
Make an authorized request to a Pipefy API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A project management team uses this integration to automatically sync task updates between Pipefy and their internal systems, enabling real-time status tracking across platforms and eliminating manual data entry. The API call functionality allows them to create, update, and retrieve pipe information programmatically, ensuring data consistency across their workflow tools.
Quick Start

Connect Pipefy to Relevance AI in minutes

Security & Reliability

This integration enables seamless workflow automation between Pipefy's process management platform and Relevance AI's data operations capabilities. With secure OAuth-based authentication, only authorized workflows can access your Pipefy data. Relevance AI manages API operations (like creating, updating, and fetching cards and table records) in the background—so you don’t have to worry about errors, formatting, or limits.

Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. Key benefits include automated card and table record management, streamlined process workflows, and centralized data operations.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Pipefy + Relevance AI integration without writing code:
  • Start with a well-structured Pipe: Use clear phase names and consistent data formats to ensure smooth automation.
  • Utilize pre-built actions: Relevance AI provides templates for creating, updating, or fetching cards—perfect for quick implementation.
  • Connect securely: Ensure you authorize the correct Pipefy organization and have the necessary permissions during setup.
  • Test your workflows: Execute automations on sample data first to identify potential issues before going live.
  • Monitor API usage: Be mindful of rate limits and implement request throttling to avoid disruptions in service.