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Governed Agentic Underwriting Assistant with Claude Agents SDK and Claude 4.1 Opus

Modern insurance carriers face strict compliance requirements when delegating underwriting authority to autonomous AI systems. You will build an agentic governance workflow using Claude Agents SDK and Claude 4.1 Opus to audit commercial policy applications. Achieve 100% compliance audit trail validation and zero unverified coverage decisions across test policies.

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What you are building

Implement governed decision flows with Claude Agents SDK and Claude 4.1 Opus to enforce strict compliance bounds.

How work is evaluated

Evaluation

Verify 100% audit logging completeness and strict rule adherence for agent underwriting actions.

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

Dimensions
3 scoring checks
Binary
3 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

zero_unverified_binds

No application violating max limits is automatically bound.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

complete_audit_trail

Every decision has a complete, structured trace step log.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 3

audit_compliance_rate

Percentage of applications passing statutory compliance checks • target: 1 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

  • Implement transparent human-in-the-loop workflows using Claude Agents SDK

  • Incorporate extended thinking capabilities with Claude 4.1 Opus for complex policies

  • Establish deterministic audit logging for agentic underwriting bounds

  • Enforce compliance and regulatory guardrails on automated bind decisions

Resources

Dataset notes

Synthetic commercial insurance applications featuring complex liability scenarios and varying hazard risks.

Challenge setup

Verify 100% audit logging completeness and strict rule adherence for agent underwriting actions.

Challenge input

JSON commercial application data

Claude Agents SDK

Orchestrates governed tool execution and extended thinking loops.

Claude 4.1 Opus

Advanced reasoning over complex commercial legal and financial rules.

Evaluated output

JSON containing decision, constraint verification, and full audit path

Evaluation checks
  • No application violating max limits is automatically bound.
  • Every decision has a complete, structured trace step log.
  • Percentage of applications passing statutory compliance checks • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: AgenticGovernanceBench-2026
  • Audit Compliance Rate target: 100%
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

View technical recipe

Configured tools

Action Space
  • Grok-2 · Optional
  • Vast.ai · Optional
Policy Serving
  • Claude 4.1 Opus · Required

Evaluation contract

  • zero_unverified_binds · Weight 1
  • complete_audit_trail · Weight 1
  • audit_compliance_rate · Weight 1

Metrics

  • audit_compliance_rate · Target 1

Benchmarks

  • AgenticGovernanceBench-2026
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON commercial application data

    Output: JSON containing decision, constraint verification, and full audit path

    Execution harness: Python

Evaluation tools

  • Claude Agents SDK · Agent Framework
  • Claude 4.1 Opus · LLM Model

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Governed Agentic Underwriting Assistant with Claude Agents SDK and Claude 4.1 Opus