Automate Insurance Underwriting Compliance and Risk Audits with Mastra AI
Insurers must ensure underwriting algorithms comply with regulatory fairness and capital adequacy standards. Build a Mastra AI workflow that executes multi-turn compliance audits on parametric insurance models to flag bias and regulatory non-compliance.
What you are building
Develop an automated audit workflow using Mastra AI to evaluate insurance underwriting logic against regulatory standards.
How work is evaluated
Evaluates bias detection and regulatory compliance parsing in underwriting logic.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Demographic Proxy Detection Test
Heavy weighting on demographic proxies must result in is_compliant == False.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Compliance Audit Accuracy
Percentage of regulatory infractions identified. • target: 0.96 • range: 0.9-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Construct Mastra AI agent workflows that evaluate parametric insurance underwriting rules.
Audit model decision distributions for protected class demographic bias.
Validate solvency capital requirements against statutory formulas.
Output audit reports matching regulatory disclosure standards.
Resources
Synthetic insurance underwriting rule set dataset with embedded regulatory non-compliance traps.
Challenge setup
Evaluates bias detection and regulatory compliance parsing in underwriting logic.
Challenge input
JSON containing underwriting_rules, variable_weights, geographical_proxies
Mastra AI
Orchestrates step-by-step regulatory audit workflows in TypeScript.
Evaluated output
JSON with is_compliant (boolean), bias_flags, non_compliance_severity
- Heavy weighting on demographic proxies must result in is_compliant == False.
- Percentage of regulatory infractions identified. • target: 0.96 • range: 0.9-1
- Benchmark: InsuranceAuditBench
- Compliance Audit Accuracy target: 0.96
- 1 public reference case
- TypeScript execution harness
- javascript sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- Mastra AI · Required
- Mastra AI · Required
Evaluation contract
- Demographic Proxy Detection Test · Weight 1
- Compliance Audit Accuracy · Weight 1
Metrics
- Compliance Audit Accuracy · Target 0.96
Benchmarks
- InsuranceAuditBench
- security
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON containing underwriting_rules, variable_weights, geographical_proxies
Output: JSON with is_compliant (boolean), bias_flags, non_compliance_severity
Execution harness: TypeScript
Evaluation tools
- Mastra AI · Agent Framework
Recipe freeze marker
No recipe freeze time is recorded.