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Is Chatguru production-ready for regulated insurance environments?
es. Chatguru includes a working backend for conversational policy discovery, with Azure OpenAI as the default integration, documentation-grounded semantic search (RAG), observability, and Docker-based deployment. Integration with authentication systems, core insurance platforms, or transactional workflows depends on your existing stack and implementation scope.
How is this different from Salesforce Einstein, Intercom, or other SaaS chatbots?
Those tools are built for generic customer communication. Chatguru is built specifically for insurance — grounded in your policy documentation, customizable to your business logic, and fully open-source. You own it.
How do you prevent wrong or hallucinated answers?
Chatguru uses semantic search to retrieve relevant content directly from your policy documents and internal guidelines before generating responses. This RAG-based approach reduces hallucinations and ensures answers are grounded in your real documentation — not generic AI knowledge.
Can Chatguru access and search our policy wordings (OWU) and internal documentation?
Yes. Connecting your policy wordings, product sheets, and underwriting guidelines is the core of how Chatguru works. Your documentation becomes the source of truth for every conversation.
Is policyholder data stored anywhere outside our infrastructure?
No. Because you self-host, all data stays within your own environment. No third-party vendor touches your customer conversations, your policy data, or your claims history.
