Challenge

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.

Machine LearningHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

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

Delivery guide

How work is evaluated

Evaluation

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

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

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Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

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

What you should walk away with

  • 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 and assets

Reference links and supporting material

Dataset notes

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

How this agent runs

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

Checks for
  • 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
Proof of success
  • Benchmark: AgenticGovernanceBench-2026
  • Audit Compliance Rate target: 100%
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox
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

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

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