New: Choose your guide
Pick the voice that teaches you best.
After each module, an "Inside the Episode" host gives you the practitioner's-eye translation of what you just learned, the part the textbook leaves out. You now choose which of three guides delivers it. Same curriculum, same credential, same standard. Only the delivery style changes. Switch any time. They are, fittingly for a credential about AI, AI creations, and none of them pretends otherwise.
The Old Guard
Professor Cornelius Underwood
A Lloyd's-of-London heritage and three centuries of risk in his bones. Dry, deadpan, British, and unhurried, he treats AI as the latest instrument of a craft insurance has practiced since 1688. He does not repeat the lesson. He clears the fog around it, with gravitas and a wit so dry you almost miss it.
Pick him if you like dry wit, historical context, and a calm, authoritative voice.
The Bridge
Nora Underwood
Sharp, warm, fast, and tech-fluent. She can read a treaty and a model card with equal ease, and she turns each lesson into a build plan: what the technology actually does, and what to do with it on Monday. Heritage updated, with the pace of someone who explains hard things for a living.
Pick her if you like a faster, punchy, practical, no-fluff delivery.
The Operator
Mateo Reyes
Energetic, plainspoken, and built in the field. He grew up in a family agency and learned AI the only way that sticks, by shipping it: an intake bot here, a renewal-flag script there. He tells you what actually happens at 4pm when the system is down and a client is on hold, war story first, fix second.
Pick him if you like real-world, ships-it, skip-the-theory delivery from someone who has been in the trench.
The master exam.
After you pass quizzes on all 9 modules, you sit for the master exam. Proctored, scenario-based multiple choice: every question is a judgment call drawn from the situations the modules teach. Covers vendor evaluation, workflow design, governance, regulatory considerations, and consulting deliverables across the full curriculum.
The exam is the gate. Pass it and you're cleared for the capstone.
The capstone deliverable.
You build an Agency AI Transformation Plan for a real or hypothetical operation. Agency is the default template because agencies are our largest audience, but the capstone flexes to the environment you actually work in: carrier, wholesaler, MGA, vendor-side, or consulting practice. Components:
- AMS / core-systems audit. What data does the organization have, where is it trapped, what does AI need to use it.
- Workflow prioritization. Which workflows have the highest ROI / lowest friction for AI augmentation, and in what sequence.
- Vendor shortlist. 3-5 vendors evaluated against the organization's specific situation, with a recommendation and pilot scope.
- 30-day internal pilot playbook. Skeptic archetypes, change management, success metrics, abort criteria.
- Governance memo. NAIC alignment, E&O exposure, audit trail design.
The capstone is yours to keep. Most students walk out with a deliverable they can use in a real consulting engagement immediately.
Curriculum freshness.
This is what separates CAIC from point-in-time designations. An autoresearch pipeline ingests vendor announcements, regulatory updates, and AI capability shifts daily. Material refreshes are pushed to enrolled students monthly. Your credential stays current as the field moves.
If a vendor we cover gets acquired, repositioned, or replaced by a better tool, the module updates. If NAIC drops a new bulletin on AI, the governance module updates. If a new agentic workflow becomes industry standard, the workflows module updates. You don't have to come back for a new designation every 18 months.