Integrate AI into your insurance processes without compromising data confidentiality
Centralize access, credentials, and audit trails for every AI integration with your policy, claims, and underwriting systems, under a single layer of control.Your entire insurance AI infrastructure, in one place
Register the MCP servers connected to your policy, claims, or underwriting systems, and monitor their status from a single dashboard, without isolated configurations by line of business.

What Rootlenses MCP gives your insurance company

Constant visibility into your AI integrations
Track the status and connectivity of the MCP servers linked to your policy and claims systems, with real-time health checks.


Every team, with access to only what they need
Define which AI tools each area, underwriting, claims, customer service, can use, and with what credentials, avoiding unnecessary access to policyholder information.

Your policyholders' information, never leaving your infrastructure
Process policy and claims data locally, eliminating exposure risks without giving up the automation AI offers.

Full traceability to meet industry regulations
Log the input, output, status, and origin of every AI execution, supporting internal audits and compliance with insurance industry regulations.

Catch failures before they affect claims service
Monitor the health of your integrations in real time and diagnose connection errors before they disrupt critical policyholder service processes.
From scattered integrations to a governed insurance infrastructure
Register:
Connect your policy, claims, or underwriting systems' MCP instances using their URL and Master API Key.
Configure:
Define the available tools, their fields, credentials, models, and usage limits.
Control:
Generate API keys and configure users, roles, and permissions by line of business.
Monitor:
Track the health of your instances and review every execution from the Audit log.
Before and after: the impact of automating your insurance
Without Rootlenses MCP
Servers and credentials managed separately across each system
AI tools with no common inventory
Scattered access with no control by line of business
Little visibility into what AI does with policyholder data
Manual diagnosis when integrations fail
Fragmented AI integrations across systems
With Rootlenses MCP
Centralized management of your entire infrastructure
Central catalog of MCP tools
API keys, users, roles, and permissions defined
Audit trail with input, output, status, and origin
Health checks and instance monitoring
A common layer connecting models, agents, and systems
