Integrations

Supercharge Freshstatus with Relevance AI

Freshstatus is a status page and incident communication tool that helps organizations maintain transparency during service disruptions.

Enhance your incident communication with AI agents that can automatically provide updates, respond to inquiries, and manage customer communications at scale.

Give your AI Agents Freshstatus Superpowers

Freshstatus provides real-time status and incident communication capabilities. Relevance AI transforms this into intelligent, automated customer interactions through AI agents that can proactively communicate and respond to service disruptions.

Instant Communication

The agent delivers real-time updates to customers, ensuring they are always informed.

Proactive Engagement

The agent anticipates customer needs by providing timely notifications about service changes.

Enhanced Customer Trust

The agent fosters transparency, helping to build and maintain customer loyalty during incidents.

Tools

Equip AI Agents with the Freshstatus Tools they need

Relevance AI gives you access to Freshstatus tools and data within your AI agent workflows.

Security & Reliability

The integration uses secure OAuth authentication, ensuring only authorized workflows access your Freshstatus data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) 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.

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.

To get the most out of the Freshstatus + Relevance AI integration without writing code:
  • Configure status pages properly: Set up clear incident categories and service components before integration.
  • Use authentication best practices: Ensure OAuth credentials are properly configured and securely stored.
  • Implement proper error handling: Monitor API responses and set up notifications for failed requests.
  • Optimize API requests: Batch updates when possible and respect rate limiting guidelines.
  • Test in staging: Verify integrations in a test environment before deploying to production.