CHARLEE.AIINSURANCE AI KNOWLEDGE CENTER

Insurance AI Evaluation and Testing Center

Build decision-grade evidence for predictive, generative, RAG, and agentic insurance systems.

32evaluation methods
8evidence domains
24metric definitions
32methods shown

Quick evaluation plan

Start with 14 applicable methods. At high risk, require documented thresholds, representative data, findings closure, and an approval decision. Emphasize predeployment evidence and retain test versions.
Test method library32 methods
ModerateBUS-01

Baseline and outcome test

Compare the proposed system with the current workflow using an agreed business outcome and a counter-metric.
PilotAll AI
ModerateBUS-02

Process fit and handoff test

Verify that the system fits queues, roles, service levels, exceptions, and handoffs.
PredeploymentAll AI
ModerateBUS-03

Capacity latency and cost test

Measure throughput, peak-load behavior, latency, and unit economics.
PredeploymentAll AI
HighBUS-04

Counter-metric and gaming test

Check whether optimizing the target metric creates undesirable behavior or hidden work.
PilotAll AI
ModerateDAT-01

Completeness and accuracy test

Measure missingness, errors, duplicates, label quality, and reconciliation to authoritative sources.
DevelopmentPredictive AI
HighDAT-02

Representativeness and coverage test

Assess whether evaluation data covers relevant products, jurisdictions, groups, channels, and edge cases.
DevelopmentAll AI
HighDAT-03

Leakage and provenance test

Detect target leakage and verify origin, rights, transformations, and permitted use.
DevelopmentPredictive AI
HighDAT-04

Freshness and drift test

Measure changes between development, evaluation, and production data.
ProductionAll AI
HighPRD-01

Discrimination and error test

Measure ranking or classification quality together with false positives and false negatives.
ValidationPredictive AI
HighPRD-02

Calibration test

Confirm predicted probabilities or amounts correspond to observed outcomes.
ValidationPredictive AI
HighPRD-03

Stability and sensitivity test

Challenge sensitivity to input perturbations, time, sampling, and plausible operating changes.
ValidationPredictive AI
CriticalPRD-04

Threshold and policy test

Translate scores into decisions and test the business policy surrounding thresholds.
ApprovalPredictive AI
CriticalFAI-01

Group outcome test

Compare relevant outcome rates across legally and operationally appropriate groups.
ValidationAll AI
CriticalFAI-02

Proxy and feature test

Assess whether inputs or representations act as problematic proxies or lack business necessity.
ValidationPredictive AI
CriticalFAI-03

Error disparity test

Compare false positives, false negatives, calibration, and error severity across groups.
ValidationPredictive AI
CriticalFAI-04

Adverse decision and appeal simulation

Verify notices, reasons, review rights, accessibility, and correction paths.
PredeploymentAll AI
HighGEN-01

Factuality and grounding test

Measure whether material statements are supported by authoritative content.
ValidationGenerative AI and RAG
HighGEN-02

Retrieval recall and citation fidelity test

Verify retrieval finds the needed source and citations support the generated statement.
ValidationGenerative AI and RAG
ModerateGEN-03

Instruction and format test

Check that outputs follow required content, structure, tone, and prohibited-content rules.
PredeploymentGenerative AI and RAG
CriticalGEN-04

Hallucination abstention and uncertainty test

Evaluate unsupported answers, appropriate refusal, and escalation under ambiguity.
ValidationGenerative AI and RAG
HighAGT-01

Task success test

Measure complete goal achievement, not only intermediate response quality.
ValidationAgentic AI
CriticalAGT-02

Tool and action correctness test

Verify tool choice, parameters, sequencing, records changed, and communication sent.
ValidationAgentic AI
CriticalAGT-03

Authority and approval compliance test

Attempt actions above authority and verify approval gates cannot be bypassed.
PredeploymentAgentic AI
CriticalAGT-04

Loop recovery and rollback test

Test timeouts, repeated actions, partial failure, recovery, and reversibility.
PredeploymentAgentic AI
CriticalSEC-01

Prompt injection and adversarial test

Test direct and indirect manipulation through user content, retrieved documents, and tools.
PredeploymentGenerative AI and RAG
CriticalSEC-02

Data exfiltration and access test

Verify least privilege, tenant separation, secrets protection, and resistance to extraction.
PredeploymentAll AI
HighSEC-03

Dependency failure and fallback test

Test unavailable models, retrieval, tools, networks, and degraded upstream data.
PredeploymentAll AI
CriticalSEC-04

Misuse and red-team test

Explore foreseeable abuse, unsafe objectives, and combinations not covered by normal testing.
ValidationAll AI
HighOPS-01

Online quality and drift test

Sample live work and monitor task quality, data drift, and outcome drift.
ProductionAll AI
HighOPS-02

Human override and escalation test

Evaluate disagreement, override quality, escalation rate, and automation bias.
ProductionAll AI
CriticalOPS-03

Incident and counterfactual sampling test

Search for rare harms and compare actual decisions with safe alternatives.
ProductionAll AI
CriticalOPS-04

Change regression and revalidation test

Confirm model, prompt, data, tool, vendor, or policy changes preserve approved behavior.
ChangeAll AI