Tess AI By Pareto is a robust AI agent platform that allows companies to utilize generative AI through a straightforward API integration. Relevance AI amplifies this by enabling the execution of AI agents that can think and act autonomously.
Tess AI By Pareto empowers businesses to execute custom AI agents effortlessly. With Relevance AI, you can harness these capabilities to automate complex tasks and generate intelligent insights.
Predictive Sales Intelligence
Harness machine learning models to forecast lead behavior and optimize engagement timing with unprecedented accuracy
Cross-Platform Data Synthesis
Unite fragmented customer data across systems to create comprehensive prospect profiles and insights
Automated Workflow Orchestration
Seamlessly coordinate multi-channel sales sequences while adapting to prospect interactions in real-time
Relevance AI seamlessly integrates with Tess AI By Pareto, enhancing your workflows with powerful AI agents.
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 Tess AI By Pareto account
- A Relevance AI account with access to your project settings
- 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 Tess AI by Pareto data. Tess AI handles agent execution, response management, and template searching in the background—so you don't have to worry about errors, formatting, or rate limits.
Built-in validation and response parsing ensure your AI workflows run smoothly, even when handling complex agent interactions and varied response formats.
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 Tess AI By Pareto + Relevance AI integration without writing code:
- Start with clear agent templates: Use descriptive names and consistent parameters for your AI agents to ensure easy identification and usage.
- Utilize pre-built AI agents: Leverage the available templates for common tasks to accelerate your integration process.
- Authenticate securely: Ensure your OAuth credentials are correctly set up and have the necessary permissions for seamless access.
- Test with sample data: Execute AI agents on test cases before deploying them in a live environment to minimize errors.
- Monitor execution status: Keep track of long-running operations and handle responses appropriately to ensure smooth processing.
