Module 01
Artificial Intelligence Fundamentals
Understand machine learning, generative and multimodal models, voice systems, reasoning models, agents, and the practical limits of current AI.
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.
Course outline
Each module connects practical AI capability to consumer protection, documentation, security, compliance, and licensed human oversight.
Module 01
Understand machine learning, generative and multimodal models, voice systems, reasoning models, agents, and the practical limits of current AI.
Module 02
Connect AI use cases to personal, commercial, life, health, benefits, specialty, and reinsurance workflows without replacing licensed coverage judgment.
Module 03
Apply consumer protection, privacy, fairness, transparency, documentation, retention, governance, disclosure, and human-review principles.
Module 04
Create reusable prompt frameworks for sales, service, claims support, proposals, marketing, compliance, management, and controlled automation.
Module 05
Use AI to support lead generation, qualification, needs analysis, proposal preparation, cross-selling, referrals, renewals, and meeting preparation.
Module 06
Improve policy servicing, certificates, billing support, renewals, client education, scheduling, knowledge access, and assisted customer conversations.
Module 07
Support intake, documentation, communication, image review, fraud indicators, status updates, escalation, and settlement preparation with human oversight.
Module 08
Analyze commercial, personal, property, vehicle, cyber, catastrophe, continuity, and loss-prevention factors using explainable decision support.
Module 09
Map and improve CRM, task, email, calendar, document, portal, knowledge, procedure, and performance-reporting workflows.
Module 10
Plan compliant local search, content, email, social, video, landing-page, reputation, and advertising programs with measurable outcomes.
Module 11
Protect consumer and agency data through secure access, encryption, identity checks, vendor review, prompt-injection defenses, monitoring, and incident response.
Module 12
Design narrowly scoped agents for leads, quoting support, renewals, service, claims, marketing, compliance, reporting, knowledge, and training.
Module 13
Plan controlled connections among agency systems, CRMs, signatures, document automation, OCR, voice tools, analytics, portals, mobile apps, and APIs.
Module 14
Lead hiring, training, adoption, performance measurement, profitability, strategic planning, executive reporting, and responsible agency growth.
Module 15
Assess 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.