Glossary
Agentic AI
Agentic AI uses autonomous tool-calling agents that plan multi-step workflows—querying policy systems, parsing documents, scoring fraud, and drafting communications—under human oversight and compliance guardrails.
How is agentic AI different from a chatbot?
Traditional chatbots generate text from prompts alone. Agentic systems invoke structured tools with schemas, validate outputs, and chain dependent actions such as policy lookup before reserve recommendations. ClaimGPT exposes twelve MCP tools so ChatGPT can operate as a governed claims workstation rather than an open-ended language model.
What guardrails apply to claims agents?
Traceability, data minimization, NAIC non-discrimination rules, HIPAA-aware handling of medical narratives, and human-in-the-loop gates for financial actions are mandatory. ECO-AI encodes these constraints in system instructions and tool contracts.
What outcomes can carriers expect?
Carriers deploy agentic AI to reduce cycle time, improve FNOL routing accuracy, standardize investigation notes, and lower LAE on repetitive tasks—while keeping licensed adjusters accountable for final adjudication outcomes.
Frequently Asked Questions
- How does ClaimGPT help with Agentic AI?
- ECO-AI invokes governed MCP tools for triage, policy lookup, fraud analytics, document extraction, and draft communications inside ChatGPT.
- Do AI recommendations replace licensed adjusters?
- No. Binding reserves, status updates, and outbound communications require explicit adjuster authorization.
- Where can I connect ClaimGPT?
- Visit /developer for ChatGPT MCP setup or /enterprise for architecture review with your integration team.