Learn

AI in Insurance: The Learning Program

Hands-on, hyper-personalized, and built for your insurance sector. A structured learning program for insurance professionals who want to use AI competently and ethically.

Take the Assessment First

The Problem with Generic AI Courses

AI is transforming every area of insurance. But most courses teach generic skills to generic audiences. They don't account for your insurance sector, your experience level, or how you actually learn best.

You don't need another webinar. You need a structured, hands-on program designed for the way you work — one that starts with understanding who you are as a professional and a learner.

That's what this program delivers.

What Makes This Different

Hyper-Personalized

Every program starts with a scientific assessment of your role, goals, and learning style. No two programs are the same.

Hands-On Practical

Case studies, role simulations, real-world scenarios. Text, audio, and video formats. You learn by doing, not by watching.

Smoother Methodology

Built on active learning, critical thinking, and experiential learning principles. Six task types across nine progressive levels.

What You'll Learn

Six core modules form the foundation — from AI basics to building your adoption roadmap.

1

AI Foundations for Insurance

What AI actually is, how it works, and why it matters specifically for insurance professionals.

2

Your AI Readiness Profile

Assess where you and your organization stand — your strengths, gaps, and a personalized learning path that adapts as you progress.

3

Prompt Engineering for Insurers

Master the skill of communicating with AI — crafting effective prompts for underwriting, claims, and advisory tasks that deliver reliable results.

4

AI Applications Across Insurance

Sector-by-sector breakdown of how AI is being deployed today — real examples, measurable results, and the gaps that still exist.

5

Ethics, Bias & Responsible AI

Navigate the ethical landscape — bias in models, fairness in decisions, transparency requirements, and the regulatory frameworks you need to know.

6

Building Your AI Roadmap

Create a practical, phased plan for AI adoption tailored to your organization — with timelines, priorities, and change management strategies.

Choose Your Format

18 formats across 5 categories. From a one-hour talk to a multi-week bootcamp — choose the depth that fits your needs.

Quick, high-impact sessions for teams and events.

TalksConversationsPanelsMasterclassesMicrolearnings

Deeper dives into specific topics with hands-on practice.

Short CoursesWorkshopsChallenges

Comprehensive programs for sustained skill-building.

DiplomasOnboarding ProgramsChange Readiness

Immersive, high-intensity programs for rapid transformation.

MakeoversHackathonsBootcamps

Ongoing, tailored support for individuals and teams.

LabsCoachingTraining SessionsProgressive Development

Learn Your Way

Self-Learning

Study at your own pace with structured materials, exercises, and self-assessments.

Coached Learning

Guided learning with expert feedback, check-ins, and personalized support.

In-Person Tutoring

Face-to-face or live sessions with direct mentoring and real-time interaction.

Available durations

1h 4h 8h 24h

How It Works

1

Take the Assessment

Complete the AI Readiness Assessment to understand your starting point.

2

Get Your Personalized Plan

We analyze your profile and design a program tailored to your needs.

3

Choose Your Format

Pick the format, duration, and learning mode that works for you.

4

Start Learning

Begin your hands-on journey with structured content and expert support.

Built on the Smoother Methodology

The Smoother methodology is grounded in active learning, critical thinking, and experiential education. Every program uses six task types — Exploration, Interpretation, Critical Analysis, Application, Evaluation, and Metacognition — designed to build progressively deeper competence across nine levels.

Case Studies with Role Simulation

Three immersive case studies that put you inside real, fictional, and extraordinary insurance scenarios involving AI. Analyze the situation, assume a role, negotiate, decide — and learn by doing.

Real Case

Lemonade's AI Claims Revolution: When Speed Meets Scrutiny

A real case examining how an insurtech's AI-driven claims processing sparked industry debate about automation, bias, and customer trust.

Fictional Case

The Data Breach at Sterling Insurance Group

A fictional scenario exploring what happens when an insurer's AI underwriting model goes wrong — and policyholder data is exposed.

Absurd Case

The Sentient Weather Tribunal

An absurd scenario that challenges every assumption about risk modeling, AI autonomy, and the boundaries of insurability itself.

Explore This Case →

Ready to Transform Your Insurance Practice?

Tell us about your needs and we'll design a program tailored to you.

Explore Free Resources