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.
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.
How work is evaluated
Verify 100% audit logging completeness and strict rule adherence for agent underwriting actions.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
zero_unverified_binds
No application violating max limits is automatically bound.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
complete_audit_trail
Every decision has a complete, structured trace step log.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
audit_compliance_rate
Percentage of applications passing statutory compliance checks • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
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
Reference links and supporting material
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
- 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
- Benchmark: AgenticGovernanceBench-2026
- Audit Compliance Rate target: 100%
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
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Configured tools
- Grok-2 · Optional
- Vast.ai · Optional
- 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
- 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.