Heroku is a cloud platform that enables companies to build, run, and operate applications entirely in the cloud.
Enhance your cloud applications with AI Agents that can automate workflows and process data intelligently.
Heroku provides robust cloud infrastructure for application deployment and scaling. Relevance AI enhances this with intelligent AI Agents that can automate complex processes and deliver real-time insights.
Seamless Scalability
The agent can effortlessly scale operations to meet fluctuating demands.
Real-time Insights
The agent can analyze data instantly, providing actionable insights on-the-fly.
Cost Efficiency
Optimizes resource usage, leading to significant reductions in operational costs.
Relevance AI gives you access to Heroku's cloud platform capabilities within your AI-powered workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- A Heroku account with access to your app and resources
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Heroku data. Relevance AI handles API operations through Heroku's REST API endpoints—managing authentication tokens, request formatting, and rate limits automatically.
Built-in request validation and response handling ensure reliable API interactions across all Heroku platform services.
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.
Best Practices for Non-Technical Users
To get the most out of the Heroku + Relevance AI integration without writing code:
- Configure API permissions: Set appropriate OAuth scopes and access levels for your Heroku account.
- Use proper endpoints: Ensure you're using the correct API paths for your specific Heroku resources.
- Handle responses: Always check response status codes and handle errors appropriately.
- Monitor usage: Keep track of API rate limits and dyno resource consumption.
- Version control: Use consistent API versions and track deployment changes systematically.
