Core AI workout
AI for Humans
Build a practical understanding of AI, how people interact with it and how insurance organisations can use it responsibly.
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Our fast-paced workouts use game-based learning to engage participants, embed key learning points and turn learning into an action plan.
This module introduces the principles of AI and challenges common myths. Teams explore the threats and opportunities created by AI, together with the moral and organisational responsibilities to consider before beginning an AI journey.
You’ll learn
- How to use AI tools and Agents safely and recognise what they can and cannot do
- Why experimentation, decision-making and responsible governance matter
- How the AI-EMA governance model can support an effective AI journey
Practical activity: Build hands-on experience through the Picture This AI game and creating your own Agent
Underwriting masterclass
Augmented Underwriting
Use AI to enhance risk selection, portfolio insight and narrative generation—helping underwriters focus on judgement rather than paperwork.
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Facilitated by an AI expert, this masterclass explores practical applications of AI in underwriting.
Explore how machine learning and generative AI can help underwriters triage submissions, analyse risk data and create clear narratives while retaining expert accountability.
You’ll learn
- How AI can enrich risk and ESG data
- Using generative AI for summaries and reports
- Identifying portfolio trends to support underwriting decisions
Positive outcome: Faster, better-informed risk decisions supported by AI-driven insight.
Core AI workout
AI Decision Maker
Practise making effective decisions in a fast-moving environment and understand how decision-making influences AI solution delivery.
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The module introduces decision-making principles and relevant psychological theory, then connects them to the choices teams make when introducing AI.
You’ll learn
- How decisions are made and how their consequences affect people and delivery
- Techniques for making rapid decisions when information or time is limited
- How to identify useful measures and plan the first changes within your team
Practical activity: Experience fast decision-making and its consequences through the 30-minute Clueless game.
Delegated Authority masterclass
Intelligent Authority
Use AI to validate bordereaux, highlight anomalies and strengthen oversight across delegated relationships.
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Facilitated by an AI expert, this masterclass explores practical applications of AI in delegated authority.
Explore how AI can strengthen control and trust by supporting bordereaux checks and highlighting unusual patterns before they become larger issues.
You’ll learn
- Using AI to validate and clean bordereaux
- Identifying anomalies and outliers in delegated authority data
- Generating audit and compliance summaries for human review
Positive outcome: More confident oversight and better-supported portfolio quality.
Core AI workout
AI Experimenter
Learn the value of a scientific approach to experimentation and use structured tests to improve AI adoption.
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This module explores the science of experimentation and introduces a structured approach that helps teams learn from both successful and unsuccessful tests.
You’ll learn
- How structured experimentation can reduce uncertainty and reveal useful evidence
- How to coach teams while nurturing an experimental mindset
- How to plan practical next steps and develop an AI action plan
Practical activity: Enter the Big Bang lab and practise your experimentation skills.
Claims masterclass
Smart Claims
Explore how AI can support claims triage, fraud detection and clearer communication to help teams deliver faster, more consistent outcomes.
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Facilitated by an AI expert, this masterclass explores practical applications of AI for claims teams.
Follow the claims journey from first notification of loss to settlement and examine tools that can assess damage information, surface possible fraud indicators and improve the claimant experience.
You’ll learn
- How natural language processing and vision models can assess claim notes and images
- Building generative AI assistants for claim summaries
- Using data to support transparency, fairness and human review
Positive outcome: Quicker handling, clearer communication and more focused investigation without removing human accountability.
Core AI workout
AI Solution Finder
Use the AI-EMA framework to identify, build and manage practical AI solutions around clear organisational goals.
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This module compares common AI tools, frameworks and pricing models, including the benefits and limitations of trained, untrained and ring-fenced products.
You’ll learn
- How to compare AI tools and select an appropriate approach
- How to train a model and use AI-EMA to compare options, prioritise benefits and plan next steps
- How to break larger AI goals into smaller targets and create a practical training plan
Practical activity: Train an AI model using the AI Supermarket Sweep exercise.
Broking masterclass
Adaptive Broking
Empower brokers with AI tools for client insight, submission drafting and faster, data-informed negotiation preparation.
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Facilitated by an AI expert, this masterclass explores practical applications of AI for brokers.
Discover how generative AI can support information-rich client relationships by helping brokers create submissions, summaries and insights while retaining professional judgement.
You’ll learn
- Drafting market submissions with generative AI
- Supporting research and trend analysis
- Creating client-ready summaries from structured data
Positive outcome: Better-supported client advice and faster placement preparation.
