Skip to main content

Master AI Insurance Agent Certification · Digital course

MAIAC Level 4 — Master AI Insurance Agent Certification (MAIAC)

Self-paced enrollment in Level 4 of the Master AI Insurance Agent Certification: Govern AI across an agency, brokerage, MGA, or carrier-facing team: write the AI programme, assign accountability, assess vendors and models, map controls to the data security and cybersecurity rules, handle life, benefits, and delegated-authority applications, defend complex scenarios, and prepare for independent verification and examination.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$649.00

One-time purchase

Enrollment includes

Professional training built for insurance work

Evaluate AI tools for insurance use cases, limitations, privacy, security, and compliance risks.

Create reliable prompts for prospecting, proposals, service, claims support, and agency management.

Improve customer communication and documentation while preserving licensed human review.

Automate repetitive agency workflows with clear approval gates, exceptions, and audit trails.

Curriculum at a glance

From AI fundamentals to agency leadership

View all 14 modules
  1. Module 01

    What an Agency Owes: Accountability for AI Across an Insurance Agency

    Level 4 opens with accountability: why an agency of producers, staff, vendors and carriers spreads responsibility for AI until nobody holds it, what producer licensing law places on the entity and its designated producer, what regulators tell insurers about third-party AI, and what no tool, vendor or carrier can hold.

  2. Module 02

    Writing the Agency AI Governance Programme

    How to write an AI governance programme sized to an agency: a permitted-use inventory, decision rights, stop authority, supervision, records and a review cycle, built so the agency can answer the questions carriers now ask under their own written AI programmes, and drawing on voluntary frameworks without mistaking them for law.

  3. Module 03

    The AI Decision Record and Surviving Ownership Changes

    How an agency records why each AI governance decision was made, in a form a future principal, acquirer, carrier auditor or examiner can follow: the decision record, the AI inventory and its version history, how long to keep them, and how to keep the record alive through staff turnover, tool retirement and a change of ownership.

  4. Module 04

    The Regulatory Map of Agency AI Obligations

    Which authorities bind an insurance agency when it uses AI, and for which work: state insurance law, federal privacy law enforced by the states, AI voice calls, Medicare Advantage and FINRA rules, and state AI statutes. It then separates what binds carriers, shows how that reaches the agency, and teaches a method for deciding what a change means.

  5. Module 05

    Due Diligence on an Agency AI Supplier

    How an agency assesses an AI supplier before it touches client information: when the supplier is a third-party service provider under state data security and privacy law, what California and carriers' own vendor expectations add, how to assess data handling, security, testing and change, and how to tell an answer from an evasion.

  6. Module 06

    Testing Evidence, Benchmarks and What "Validated" Means

    How an agency principal weighs evidence about AI: provider claims, press releases, peer-reviewed benchmarks, experiments, working papers and regulator surveys, each read for what was measured, by whom and on what data; how regulators ask insurers to test; and how to design the agency's own acceptance test before approving a tool.

Independent professional education

MAIAC is an independent professional education program. It is not an insurance license, does not replace state licensing requirements, and is not endorsed by any carrier, insurance department, or regulator. No regulatory education hours or approvals are claimed.