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Implement Hybrid Reasoning & Claude Sonnet 4 Integration

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Linked challenge: Orchestrate Insurance Policy Automation

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Linked challenge

Orchestrate Insurance Policy Automation

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Implement the core logic for the 'Risk Assessor' agent. This should demonstrate hybrid reasoning, combining Claude Sonnet 4's ability to interpret complex scenarios with structured rules for calculating final risk scores. Provide code for how Claude Sonnet 4 queries the RAG system and integrates with rule-based outputs.

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Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

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Hold the task contract and output shape stable so generated implementations remain comparable.

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Update libraries, interfaces, and environment assumptions to match the stack you actually run.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Orchestrate Insurance Policy Automation

There is potential for generative AI to revolutionize complex enterprise workflows. This challenge focuses on building a sophisticated multi-agent system to automate aspects of the insurance policy lifecycle, specifically dynamic risk assessment and personalized policy generation. Your system will use Claude Sonnet 4 for efficient reasoning over vast policy documents and external data. It will leverage Haystack for advanced Retrieval-Augmented Generation (RAG) to ensure accuracy and compliance, and Semantic Kernel for robust tool integration with legacy enterprise systems and structured databases. The goal is to create a hybrid reasoning system that combines the flexibility of LLMs with structured rules and real-time external data, adapting to evolving risk profiles and regulatory changes.

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