CHARLEE.AIINSURANCE AI KNOWLEDGE CENTER

Insurance AI Regulatory Compliance Center

Translate jurisdiction actions and regulatory expectations into owned requirements, evidence, and examination readiness.

51jurisdictions tracked
29highlighted jurisdiction actions
32compliance requirements
32requirements shown

Jurisdiction lookup

Alabama: No highlighted action on NAIC map
No action highlighted on the referenced NAIC map.
NAIC state-action status shown as of August 6, 2026. Confirm current requirements with counsel and the applicable department of insurance.
Compliance requirement library32 requirements
ModerateREG-01

Jurisdiction inventory

Maintain every state, line of business, legal entity, license, and AI use that may trigger an obligation.
All AIQuarterly and on change
HighREG-02

Requirement interpretation

Translate each bulletin, regulation, law, examination request, and order into specific operating obligations.
Predictive AIOn publication and material change
HighREG-03

Applicability and gap assessment

Compare current controls and evidence with applicable requirements and document gaps.
Generative AI and RAGQuarterly
CriticalREG-04

Regulatory change management

Monitor proposed, adopted, amended, and withdrawn materials and route them to owners.
Agentic AIContinuous and monthly review
ModerateGOV-01

Written AIS program

Maintain a risk-based program governing development, acquisition, use, monitoring, and retirement of AI systems.
All AIAnnual and material change
HighGOV-02

Board and senior management accountability

Define oversight, reporting, decision rights, resources, and escalation for AI risks.
Predictive AIQuarterly
HighGOV-03

AI system inventory

Maintain models, applications, agents, vendors, purposes, decisions, owners, tiers, versions, and status.
Generative AI and RAGQuarterly
CriticalGOV-04

Policies training and internal controls

Align policy, procedures, training, testing, access, monitoring, incident, and audit controls to risk.
Agentic AIAnnual and continuous controls
ModerateCON-01

Adverse consumer outcome prevention

Identify and control inaccurate, unfair, inaccessible, delayed, or discriminatory outcomes.
All AIPredeployment and periodic
HighCON-02

Unfair discrimination testing

Test relevant groups, proxies, inputs, outputs, errors, and decision policies.
Predictive AIPredeployment and periodic
HighCON-03

Complaint appeal and correction analysis

Link complaints, appeals, disputes, overrides, corrections, and recourse to AI-influenced decisions.
Generative AI and RAGMonthly or quarterly
CriticalCON-04

Affected-case remediation

Identify and correct consumers, records, decisions, notices, payments, or offers affected by a material failure.
Agentic AIEach material event
ModerateDOC-01

Intended use and system description

Document business purpose, users, affected parties, decisions, scope, exclusions, authority, and dependencies.
All AIAt approval and change
HighDOC-02

Data provenance and suitability

Document source, rights, lineage, transformations, quality, representativeness, retention, and restrictions.
Predictive AIAt approval and periodic
HighDOC-03

Model methodology and limitations

Document method, assumptions, features, training, thresholds, performance, limitations, and uncertainty.
Generative AI and RAGAt validation and change
CriticalDOC-04

Traceability and recordkeeping

Retain versions, inputs, outputs, retrieval, actions, approvals, overrides, monitoring, and incidents.
Agentic AIContinuous
ModerateTST-01

Predeployment validation

Test performance, robustness, fairness, security, workflow, oversight, and consumer impact before use.
All AIBefore production
HighTST-02

Independent review

Use qualified challenge independent of primary development for higher-risk systems.
Predictive AIBefore production and material change
HighTST-03

Production monitoring

Monitor quality, drift, fairness, overrides, complaints, incidents, security, cost, and business outcomes.
Generative AI and RAGContinuous and periodic
CriticalTST-04

Change and revalidation

Assess changes and repeat affected testing and approvals before release.
Agentic AIEach material change
ModerateTRN-01

Consumer notice

Determine when and how to disclose AI use, data, decision role, or material process information.
All AIAt design and change
HighTRN-02

Specific and accurate reasons

Ensure explanations reflect the actual decisive factors and are understandable, timely, and reviewable.
Predictive AIPredeployment and periodic
HighTRN-03

Human review and recourse

Provide qualified review, correction, appeal, complaint, accessibility, and escalation paths.
Generative AI and RAGContinuous and quarterly review
CriticalTRN-04

Regulator explanation package

Prepare plain-language and technical explanations for purpose, method, data, controls, results, limitations, and outcomes.
Agentic AIAt approval and on request
ModerateTPR-01

Third-party due diligence

Assess governance, data, testing, security, fairness, resilience, subcontractors, and regulatory cooperation.
All AIBefore contract and annually
HighTPR-02

Contractual rights and obligations

Require data restrictions, change notice, audit, evidence, incidents, performance, deletion, cooperation, and exit.
Predictive AIContract and renewal
HighTPR-03

Ongoing provider oversight

Monitor service, model or data changes, incidents, findings, concentration, and unresolved evidence.
Generative AI and RAGQuarterly
CriticalTPR-04

Regulatory access and exit readiness

Ensure the insurer can obtain evidence, respond to regulators, preserve records, and substitute or terminate.
Agentic AIAnnual and before exit
ModerateEXM-01

Regulatory request intake

Log the request, authority, scope, deadline, confidentiality, owners, and response plan.
All AIEach request
HighEXM-02

Evidence index and quality review

Map each question to responsive, approved, consistent, and reproducible evidence.
Predictive AIEach request
HighEXM-03

Demonstration and interview readiness

Prepare owners to explain purpose, controls, results, limits, decisions, incidents, and remediation.
Generative AI and RAGBefore examination sessions
CriticalEXM-04

Findings commitments and closure

Track findings, management response, commitments, due dates, evidence, validation, and regulator closure.
Agentic AIUntil closed