Master AI Insurance Agent Certification · Level 1
Build a responsible AI foundation for prospecting, service, claims support, risk assessment, agency operations, and leadership across the insurance lifecycle.
Six-level pathway
Levels are completed in order. Each has its own modules, knowledge checks, final examination, and certificate; Levels 3 to 5 add a reviewed capstone and Level 6 a teach-back assignment.
Level 1 · Foundations
15 hours · 15 modules · Open for enrollment
Level 2 · Certified Professional
14 hours · 5 modules · Open for enrollment
Level 3 · Advanced Operations
16 hours · 5 modules · Open for enrollment
Level 4 · Master Certification
18 hours · 5 modules · Open for enrollment
Level 5 · Automation Specialist
16 hours · 5 modules · Open for enrollment
Level 6 · Certified Instructor
15 hours · 5 modules · Open for enrollment
Course outline
Each module connects practical AI capability to consumer protection, documentation, security, compliance, and licensed human oversight.
Module 01
3 lessonsUnderstand machine learning, generative and multimodal models, voice systems, reasoning models, agents, and the practical limits of current AI.
Module 02
3 lessonsConnect AI use cases to personal, commercial, life, health, benefits, specialty, and reinsurance workflows without replacing licensed coverage judgment.
Module 03
3 lessonsApply consumer protection, privacy, fairness, transparency, documentation, retention, governance, disclosure, and human-review principles.
Module 04
3 lessonsCreate reusable prompt frameworks for sales, service, claims support, proposals, marketing, compliance, management, and controlled automation.
Module 05
3 lessonsUse AI to support lead generation, qualification, needs analysis, proposal preparation, cross-selling, referrals, renewals, and meeting preparation.
Module 06
3 lessonsImprove policy servicing, certificates, billing support, renewals, client education, scheduling, knowledge access, and assisted customer conversations.
Module 07
3 lessonsSupport intake, documentation, communication, image review, fraud indicators, status updates, escalation, and settlement preparation with human oversight.
Module 08
3 lessonsAnalyze commercial, personal, property, vehicle, cyber, catastrophe, continuity, and loss-prevention factors using explainable decision support.
Module 09
3 lessonsMap and improve CRM, task, email, calendar, document, portal, knowledge, procedure, and performance-reporting workflows.
Module 10
3 lessonsPlan compliant local search, content, email, social, video, landing-page, reputation, and advertising programs with measurable outcomes.
Module 11
3 lessonsProtect consumer and agency data through secure access, encryption, identity checks, vendor review, prompt-injection defenses, monitoring, and incident response.
Module 12
3 lessonsDesign narrowly scoped agents for leads, quoting support, renewals, service, claims, marketing, compliance, reporting, knowledge, and training.
Module 13
3 lessonsPlan controlled connections among agency systems, CRMs, signatures, document automation, OCR, voice tools, analytics, portals, mobile apps, and APIs.
Module 14
3 lessonsLead hiring, training, adoption, performance measurement, profitability, strategic planning, executive reporting, and responsible agency growth.
Module 15
3 lessonsAssess predictive underwriting, autonomous agents, digital advisors, connected devices, climate analytics, emerging technology, and future regulation.
Learning outcomes
Assessment
The final assessment measures how well you apply the curriculum to realistic agency, customer, risk, and claims scenarios.
Start with the vendor-neutral foundations and controlled workflows covered across the complete Level 1 curriculum.
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.