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BriteCore Launches AI Copilots and Agentic Architecture for P&C Insurers
BriteCore, a cloud-native insurance platform for property and casualty insurers, announced on May 20 an enterprise AI strategy that embeds intelligence directly into core insurance operations. The launch includes eight AI copilots and a new secure service layer for connecting third-party and carrier-built AI agents.
A Different Approach to Insurance AI
Rather than layering AI tools on top of existing systems, BriteCore built its AI capabilities into the platform's operational core through a governed, API-first architecture. AI agents connect to the platform through BriteCore-managed Model Context Protocol (MCP) servers, which enforce authentication, access control, rate limiting, audit trails, and human-in-the-loop governance across every AI interaction.
A separate provider layer governs access to large language models, including Anthropic's Claude Sonnet, and is designed to support additional models as they emerge.
Eight Copilots Across the Insurance Lifecycle
The release introduces eight embedded copilots targeting high-friction tasks across underwriting, billing, claims, and operations:
- Submission Intake and Readiness ingests unstructured submissions and evaluates completeness before underwriter review, reducing manual intake work by as much as 80-90%.
- Policy Summary generates instant summaries of policy information, risk characteristics, and claims history.
- Claims Summary produces structured summaries for adjusters, audits, and reinsurance reporting.
- Invoice Explanation converts billing details into plain-language explanations to reduce service inquiries.
- Document and Forms accelerates policy form creation, template generation, and compliance workflows.
- Rate Change updates rate tables and pricing through natural language instructions.
- Rules Intelligence supports business rules creation, referral triggers, and workflow routing.
- Report generates operational reports through natural language prompts.
Keeping Data Inside Carrier Environments
BriteCore's architecture supports localized agentic services that operate within an insurer's own environment. Workflows, orchestration logic, and sensitive data remain inside the carrier's controlled infrastructure. External large language models handle reasoning, summarization, and decision support tasks only, which the company says preserves compliance and governance controls.
Open MCP Architecture for Carriers and Partners
In addition to its native copilots, BriteCore introduced an Open MCP Service architecture that lets carriers and ecosystem partners build and deploy their own AI agents on the same infrastructure. Carriers can integrate external AI capabilities while maintaining centralized governance and access controls.
Tim Byrne, president and CEO of Great Bay Insurance, cited the Report Copilot as an example of the strategy's impact. "The ability to generate insights and summaries instantly has streamlined how our teams operate and communicate," he said.
What's Included in the Roadmap
Future releases will target multi-agent orchestration across new business processing, renewals, premium-to-cash operations, and customer interaction management. BriteCore also plans to support agent-to-agent (A2A) communication standards, enabling AI agents to coordinate across internal systems, carrier environments, and external partner ecosystems.
BriteCore serves more than 100 insurers across North America.
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