Integrations

Supercharge Streak with Relevance AI

Streak is a powerful CRM tool that helps you manage pipelines, tasks, and custom fields effectively. With Relevance AI, you can supercharge your CRM experience by automating workflows and leveraging AI Agents for smarter decision-making.

Give your AI Agents Streak Superpowers

Streak provides robust CRM capabilities for managing deals and tasks. Relevance AI amplifies this by enabling AI Agents to automate processes, ensuring your team stays focused on what matters most.

Seamless Pipeline Orchestration

The AI agent automatically manages and optimizes deal flow across multiple pipelines based on real-time email interactions and customer engagement patterns

Proactive Communication Intelligence

Leverages email tracking and customer interaction data to predict optimal follow-up timing and generate personalized response recommendations

Predictive Pipeline Analytics

Forecasts deal outcomes and identifies potential bottlenecks by analyzing historical patterns and current pipeline metrics

Tools

Equip AI Agents with the Streak Tools they need

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

Streak - Create Box
Creates a new box (deal/opportunity) in Streak CRM with specified details like name, stage, notes and team assignments within a selected pipeline
Streak - Update Box
Modifies an existing box in Streak CRM, allowing updates to properties like name, stage, notes, and team assignments for a specific box within a pipeline
Streak - Link Boxes
Establishes connections between multiple boxes in Streak CRM, enabling relationship mapping between different deals or opportunities
Streak - Update Box Field Value
Updates specific field values within a Streak box, allowing for targeted modifications of individual data points in a deal or opportunity
Streak - Create Task
Creates a new task associated with a specific box in Streak CRM, including task description, due date, and assignee information
Name
Streak API Call
Description
Make an authorized request to a Streak API
Parameters
["OAuth authentication", "HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers", "Request body support", "Response handling"]
Use Case
A sales team uses Streak API Call to automatically update deal pipelines and track customer interactions by integrating their CRM data with custom workflows, enabling real-time pipeline management and improved sales tracking efficiency.
Quick Start

Connect Streak to Relevance AI in minutes

Security & Reliability

The integration between Streak and Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your Streak CRM data. Relevance AI manages API operations (such as creating boxes, updating fields, and creating tasks) in the background, allowing you to focus on your business processes without worrying about errors, formatting, or API limits.

With built-in validation and type conversion, your workflows will run smoothly, even when data formats vary. This integration streamlines your CRM workflow management, enabling automated box and pipeline synchronization, custom field updates, and task automation directly through API calls.

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 Streak + Relevance AI integration without writing code:
  • Start with a well-structured pipeline: Use clear stage names and consistent field types to ensure smooth data flow.
  • Utilize pre-built workflows: Relevance AI provides templates for automating box creation, updates, and task assignments—perfect for quick implementation.
  • Connect securely: Ensure you authorize the correct Streak account and have the necessary permissions during setup.
  • Test automations with sample data: Validate your workflows on test boxes to prevent issues in your live environment.
  • Monitor API usage: Implement rate limiting strategies and batch updates to avoid hitting API call limits.