Integrations

Supercharge Pipeline with Relevance AI

Pipeline CRM is a comprehensive tool for managing deals, contacts, and tasks within your organization. With Relevance AI, you can elevate your CRM capabilities by harnessing AI Agents to drive smarter decision-making and enhance operational efficiency.

Give your AI Agents Pipeline Superpowers

Pipeline CRM streamlines deal management and contact handling, while Relevance AI empowers you to leverage that data with intelligent AI Agents that automate and optimize your processes.

Seamless Data Orchestration

The AI Agent gains the ability to automatically coordinate and optimize complex data workflows across multiple sources in real-time.

Intelligent Relationship Synthesis

Enables the Agent to create meaningful connections between customer data, deals, and activities for enhanced business intelligence.

Real-time Decision Acceleration

Combines Pipeline's data processing capabilities with AI analysis for instant, data-driven decision support.

Tools

Equip AI Agents with the Pipeline Tools they need

Relevance AI seamlessly integrates with Pipeline CRM, enhancing your workflows with powerful data transformations and insights.

Pipeline - Move Deal Stage
Updates the stage of an existing deal in the Pipeline CRM system, allowing for progression through the sales pipeline workflow
Pipeline - Find Deal
Searches for and retrieves deal records from Pipeline CRM based on name or stage criteria
Pipeline - Create Deal
Creates a new deal record in Pipeline CRM with specified details including owner, contact, status, and stage information
Pipeline - Update Company
Modifies existing company information in Pipeline CRM, including contact details and address information
Pipeline - Create Activity
Records a new activity or note in Pipeline CRM, associated with a person, deal, or company
Pipeline - Create Event
Schedules a new event in Pipeline CRM with specified timing and category details
Name
Pipeline API Call
Description
Make an authorized request to a Pipeline API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body configuration", "Response handling"]
Use Case
A sales team automates their CRM workflow by using Pipeline API Call to sync customer data between their website and Pipeline CRM, automatically creating and updating contact records when new leads submit forms, ensuring their sales pipeline stays current without manual data entry.

Security & Reliability

This integration enables secure and efficient interaction between Pipeline CRM and your applications through Relevance AI's transformation platform. With OAuth authentication, only authorized workflows can access your Pipeline CRM data, ensuring enterprise-grade security.

Relevance AI manages API operations (like creating deals, finding contacts, and scheduling tasks) in the background, allowing you to focus on your business processes without worrying about errors, formatting, or rate limits.

Built-in validation and type conversion ensure that your workflows run smoothly, even when data formats vary, while comprehensive access to Pipeline CRM's features simplifies complex CRM 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 Pipeline CRM + Relevance AI integration without writing code:
  • Start with a well-structured Pipeline CRM setup: Organize your deals, contacts, and tasks with clear naming conventions and consistent data formats.
  • Utilize pre-built workflows: Relevance AI provides templates for common tasks like creating deals or managing contacts, making it easy to get started.
  • Connect securely: Ensure you use the correct OAuth credentials and permissions during the integration setup to maintain security.
  • Test integrations with sample data: Before deploying to your live environment, validate your workflows using test data to catch any potential issues.
  • Monitor API usage: Be mindful of rate limits by implementing request throttling and using batch operations to optimize performance.