Conversational Claims Processing With Policy Context Injection

via “contextual memory injection with semantic relevance”

grāmatr — Intelligence middleware for AI agents. Pre-classifies every request, injects relevant memory and behavioral context, enforces data quality, and maintains session continuity across Claude, ChatGPT, Codex, Cursor, Gemini, and any MCP-compatible cl

Unique: Operates as an MCP middleware that performs memory retrieval and injection at the protocol level before the LLM sees the request, enabling transparent context augmentation across heterogeneous LLM providers without requiring provider-specific APIs or prompt engineering

vs others: Decouples memory management from LLM-specific context window strategies, allowing the same memory system to work across Claude, ChatGPT, Gemini, and other MCP clients without reimplementation

Unique: Implements policy-aware claim intake by embedding real-time policy lookups into the conversation loop, allowing the system to proactively guide customers toward complete submissions rather than passively accepting claim descriptions. Uses semantic claim classification to map natural language incident descriptions to standardized claim types and required documentation workflows.

vs others: Reduces claims processing rework by 30-40% compared to generic chatbots that lack policy context, because it validates coverage eligibility and required documents during the initial conversation rather than after submission.

via “conversational context window management with memory augmentation”

Unique: Augments limited native context window with persistent memory retrieval using embedding-based relevance matching, creating a hybrid approach that extends logical context beyond token limits while maintaining personalization

vs others: Provides better cross-session continuity than ChatGPT's conversation-scoped context through persistent memory, but with smaller immediate context window than Claude, making it better for long-term relationships but worse for complex single-conversation analysis