Integrations

Supercharge Cloze with Relevance AI

Cloze is a powerful CRM tool that automates customer relationship management tasks, allowing you to manage projects, companies, and notes effortlessly. With Relevance AI, you can elevate your CRM capabilities by leveraging AI Agents to enhance data insights and workflow automation.

Give your AI Agents Cloze Superpowers

Cloze streamlines customer relationship management by automating data handling and communication tracking. Relevance AI amplifies this by enabling AI Agents to intelligently manage and analyze your CRM data, driving better decision-making and efficiency.

Relationship Intelligence Mastery

Agent leverages Cloze's comprehensive relationship data to deliver hyper-personalized interactions and insights

Contextual Memory Enhancement

Agent gains deep historical context from Cloze's unified communication archive to inform more relevant responses

Strategic Follow-up Automation

Agent intelligently schedules and executes follow-up actions based on relationship strength indicators and engagement patterns

Tools

Equip AI Agents with the Cloze Tools they need

Relevance AI seamlessly integrates with Cloze to enhance your CRM workflows with intelligent automation.

Cloze - Create Or Update Project
Creates or modifies project records in Cloze with customizable details including project name, stage, segment, and additional metadata. Enables project tracking and management within the Cloze ecosystem.
Cloze - Create Or Update Company
Manages company records in Cloze by creating new entries or updating existing ones with comprehensive company information including contact details, classification, and relationship status.
Cloze - Create Note
Adds new note entries to Cloze with detailed content tracking capabilities, allowing users to record communications and attach relevant metadata for comprehensive record-keeping.
Name
Cloze API Call
Description
Make an authorized request to a Cloze API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body support", "Response handling"]
Use Case
A sales team uses Cloze API Call to automatically sync customer interaction data from their CRM to Cloze, enabling better relationship tracking and follow-ups. The integration allows them to maintain up-to-date contact records by pulling in new communications and updating contact details in real-time.
Quick Start

Connect Cloze to Relevance AI in minutes

Security & Reliability

The Cloze + Relevance AI integration streamlines your customer relationship management tasks through a secure API interface, allowing for automated management of projects, companies, and notes. With OAuth-based authentication, only authorized workflows can access your Cloze data, ensuring security and integrity.

Relevance AI manages API operations (like creating, updating, and retrieving projects, companies, and notes) in the background, so you can focus on your core business activities without worrying about errors or formatting issues.

Built-in validation checks and error handling ensure that your workflows run smoothly, even when dealing with varying data formats. This integration not only enhances productivity but also centralizes your communication tracking and note-taking processes.

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 Cloze + Relevance AI integration without writing code:
  • Start with a clean Cloze setup: Organize your projects, companies, and notes with clear naming conventions and consistent data formats.
  • Utilize pre-built workflows: Relevance AI provides templates for automating project creation, company updates, and note management—perfect for quick implementation.
  • Connect securely: Ensure you use the correct OAuth credentials and permissions during the integration setup.
  • Test with sample data: Validate your automations using test data to prevent issues when scaling to real data.
  • Monitor API usage: Be mindful of rate limits and implement request throttling to avoid hitting API restrictions.