Insurance-Agentic-AI is a Python-based autonomous agent built with OpenAI and LangChain frameworks to streamline insurance operations. It automates policy analysis, generates quotes, answers customer queries, and assesses claims by parsing documents and leveraging multi-step reasoning. Designed for brokers, agents, and developers, it integrates easily via CLI to enhance efficiency and reduce manual workload in the insurance lifecycle.
Insurance-Agentic-AI is a Python-based autonomous agent built with OpenAI and LangChain frameworks to streamline insurance operations. It automates policy analysis, generates quotes, answers customer queries, and assesses claims by parsing documents and leveraging multi-step reasoning. Designed for brokers, agents, and developers, it integrates easily via CLI to enhance efficiency and reduce manual workload in the insurance lifecycle.
Insurance-Agentic-AI employs an agentic AI architecture combining OpenAI’s GPT models with LangChain’s chaining and tool integration to perform complex insurance tasks autonomously. By registering custom tools for document ingestion, policy parsing, quote computation, and claim summarization, the agent can analyze customer requirements, extract relevant policy information, calculate premium estimates, and provide clear responses. Multi-step planning ensures logical task execution, while memory components retain context across sessions. Developers can extend toolsets to integrate third-party APIs or adapt the agent to new insurance verticals. CLI-driven execution facilitates seamless deployment, enabling insurance professionals to offload routine operations and focus on strategic decision-making. It supports logging and multi-agent coordination for scalable workflow management.
Who will use Insurance-Agentic-AI?
Insurance brokers
Insurance agents
Claims adjusters
Insurance developers
How to use the Insurance-Agentic-AI?
Step1: Clone the repository and install required Python dependencies via pip.
Step2: Set the OPENAI_API_KEY environment variable with a valid OpenAI key.
Step3: Configure custom tool settings in tools.py or config file.
Step4: Run main.py with CLI arguments to initialize the agent.
Step5: Input insurance tasks via the CLI prompt and review automated responses.
Platform
mac
windows
linux
Insurance-Agentic-AI's Core Features & Benefits
The Core Features
Policy document ingestion and parsing
Automated quote generation
Customer Q&A handling
Claim summarization and assessment
Multi-step planning and execution
Contextual memory across sessions
Extendable tool integration
The Benefits
Reduces manual workload and operational costs
Accelerates insurance processing times
Improves accuracy in quotes and assessments
Enhances customer satisfaction
Scales with multi-agent coordination
Customizable for different insurance verticals
Insurance-Agentic-AI's Main Use Cases & Applications
OpenNARS is an open-source reasoning engine enabling real-time inference, belief revision, and learning under uncertain and resource-limited conditions.