Integrations

Supercharge Risk Advisor with Relevance AI

RiskAdvisor is an integration platform that enables insurance agencies to efficiently manage clients and create risk profiles through a robust API. Enhance your operations with Relevance AI's capabilities to automate and optimize your risk assessment processes.

Give your AI Agents Risk Advisor Superpowers

RiskAdvisor streamlines client management and risk profile creation through a powerful API. With Relevance AI, you can leverage intelligent AI Agents to automate processes and derive insights from your insurance data.

Predictive Risk Mastery

Agent leverages machine learning models to forecast and prevent potential risks before they materialize

Real-time Compliance Orchestration

Agent continuously monitors regulatory changes and automatically adjusts risk assessments across multiple frameworks

Intelligent Client Profiling

Agent analyzes comprehensive client data to create dynamic risk profiles and personalized mitigation strategies

Tools

Equip AI Agents with the Risk Advisor Tools they need

Relevance AI seamlessly integrates with RiskAdvisor to enhance your client management workflows.

RiskAdvisor - Create Risk Profile
Creates a new insurance risk profile by specifying the type of insurance coverage (home, auto, umbrella, or combined) and linking it to client identifiers. Supports both single and co-client profiles.
RiskAdvisor - Create Client
Registers a new client in the RiskAdvisor system with their personal information, including contact details, demographic data, and preferences for insurance services.
RiskAdvisor - Update Client
Modifies existing client information in the RiskAdvisor system, allowing updates to personal details, contact information, and demographic data for an established client record.
Name
RiskAdvisor API Call
Description
Make an authorized request to a RiskAdvisor API
Parameters
["OAuth Account Authentication", "HTTP Method Selection (GET, POST, PUT, DELETE, PATCH)", "Custom Request Headers", "Request Body Configuration", "Response Handling (status, body, headers)"]
Use Case
An insurance broker uses RiskAdvisor API integration to automatically fetch and update client risk profiles, enabling real-time policy adjustments based on changing risk factors. This streamlines their underwriting process and ensures more accurate premium calculations.
Quick Start

Connect Risk Advisor to Relevance AI in minutes

Security & Reliability

The RiskAdvisor integration platform utilizes secure OAuth-based authentication, ensuring that only authorized workflows can access your insurance data. Relevance AI manages API operations (such as creating clients, generating risk profiles, and updating information) seamlessly in the background—eliminating concerns about errors, formatting, or limits.

With built-in validation and comprehensive error handling, your workflows will operate smoothly, even when dealing with varying data formats. This integration not only streamlines client management but also enhances operational efficiency by automating risk profile creation and supporting multiple insurance types.

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 RiskAdvisor + Relevance AI integration without writing code:
  • Start with a clear client profile: Ensure all required fields are filled out accurately to avoid errors during client creation.
  • Utilize pre-built workflows: Relevance AI provides templates for generating risk profiles and managing client data, making it easier to get started.
  • Connect securely: Always use secure HTTPS connections and verify your OAuth credentials during setup.
  • Test API calls: Conduct tests with sample data to ensure your integration works as expected before deploying it in a live environment.
  • Monitor API usage: Keep an eye on rate limits and implement request throttling to avoid hitting API usage caps.