This Artificial Intelligence in Insurance training course explores the transformative impact of Artificial Intelligence (AI) across the insurance value chain, equipping professionals with knowledge and tools to navigate a rapidly evolving landscape. You will gain insight into how AI is reshaping risk identification, underwriting, claims processing, and the development of innovative insurance products and services. Among the innovations to be discussed, you can examine the growing role of ecosystems, embedded insurance, and data-driven personalization in modern insurance delivery.
A strong focus will be placed on the actuarial implications of AI, as well as the legal, regulatory, and ethical considerations that arise from automation, algorithmic decision-making, and data privacy concerns. ESG (Environmental, Social, and Governance) perspectives will be embedded throughout, highlighting how AI can support responsible insurance practices and inclusive growth. Through a blend of expert-led presentations, interactive discussions, and practical case studies, attendees will explore cutting-edge applications such as AI-driven fraud detection, digital distribution methods, predictive analytics, and customer engagement tools. The course is ideal for insurance executives seeking to harness AI for strategic advantage, operational efficiency, and long-term resilience in a competitive and tech-driven market and at the same time to train the operations for adaptation and resilience.
This Energy Training Centre training course will highlight:
- The transformative impact of Artificial Intelligence across the insurance value chain
- How AI enhances underwriting accuracy, risk assessment, and claims management
- The development of new products, services, and embedded insurance models
- AI’s role in detecting fraud, improving safety, and promoting customer engagement
- Legal, actuarial, and ESG implications of AI in insurance operations
- Practical case studies on ecosystem integration and AI-powered distribution methods
This Artificial Intelligence in Insurance training course is designed to equip participants with practical knowledge and strategic insight into the applications of Artificial Intelligence (AI) in the insurance industry.
At the end of this training course, you will learn to:
- Understand AI’s role in modern insurance
- Analyse AI-driven risk and underwriting models
- Apply AI tools in claims and fraud detection
- Evaluate legal, actuarial, and ESG implications
- Design AI-enabled insurance products and services
The training course will use a dynamic mix of interactive lectures, real-life case studies, group discussions, and practical exercises to enhance learning and engagement. Expert facilitators will guide participants through AI applications using demonstrations and scenario-based analysis. Hands-on activities will reinforce key concepts and encourage critical thinking. Participants will also benefit from peer learning and collaborative problem-solving. The approach ensures both theoretical understanding and practical skill.
By attending this Artificial Intelligence in Insurance training course, participants will return to their organizations equipped with actionable knowledge and advanced skills that drive innovation and efficiency in the insurance sector:
- Apply AI-driven insights to improve underwriting accuracy and pricing strategies
- Enhance claims management with automation and fraud detection tools
- Design customer-centric products using predictive analytics and real-time data
- Strengthen regulatory compliance through AI transparency and data governance
- Integrate ESG principles into insurance models using AI-enabled assessments
- Drive digital transformation by leveraging AI in distribution and ecosystem partnerships
Participants will gain cutting-edge knowledge and practical skills that will elevate their professional capabilities and support their career advancement in the evolving insurance landscape:
- Gain a solid foundation in AI technologies and their insurance applications
- Enhance analytical skills for smarter risk assessment and decision-making
- Learn to leverage AI tools to streamline underwriting and claims workflows
- Develop strategic thinking for designing innovative insurance solutions
- Build confidence in navigating legal, actuarial, and ESG considerations
- Strengthen career prospects by mastering future-ready, in-demand competencies
This Artificial Intelligence in Insurance training course is suitable for a wide range of professionals across the insurance value chain involved in digital transformation, product development, or risk management. It is especially relevant to those seeking to integrate AI into their strategic, operational, or technical roles.
This training course is suitable for a wide range of professionals but will greatly benefit:
- Insurance professionals involved in underwriting, claims, and product development looking to enhance decision-making using AI
- Risk and compliance officers seeking to understand AI’s implications on governance, ethics, and regulatory compliance
- Actuarial and data analytics teams aiming to apply AI in modelling, forecasting, and risk pricing
- Technology and innovation leaders responsible for digital transformation and AI integration in insurance processes
- Brokers, reinsurers, and financial services professionals exploring AI-driven business models and ecosystem partnerships
Day One: AI Foundations & Risk Transformation
- Introduction to AI in Insurance
- How digital transformation alters traditional risk models
- Regulatory compliance for AI models, and consumer protection
- Incorporating AI-generated data into pricing models and actuarial projections
- Impact of GDPR and ethical use of customer data in insurance AI models
- AI as a tool for environmental risk modeling and supporting social inclusion
Day Two: AI in Underwriting & Risk Selection
- Automated Risk Assessment
- Use of lifestyle, wearable, and telematics data in personalizing premiums
- Role of AI in redefining assumptions and claim probabilities
- Legal risks and ethical issues in AI-based decision-making
- Supervisory expectations around algorithmic underwriting
- Embedding ESG metrics in underwriting through AI
Day Three: AI-Driven Claims Management & Fraud Detection
- Early warning systems and severity prediction using AI
- Fraud Detection Tool, and link analysis for uncovering suspicious claims
- Improved claims forecasting, reserving accuracy, and trend identification
- Challenges in using AI for claims denials or disputes; importance of transparency
- Customer-Centric Claims Automation
- AI in managing climate claims, promoting fairness and identifying ESG-related losses
Day Four: New Products, Services & Ecosystems
- AI Product Innovation: Parametric and micro insurance, usage-based models
- Embedded Insurance: Integration with retail, travel, fintech, and health platforms
- Smart Services: Maintenance, health coaching, smart home support by AI
- Leveraging real-time data to build continuously priced, adaptive products
- Cross-border data-sharing and licensing concerns for ecosystem players
- ESG-Driven Innovation: energy efficiency, climate resilience, underserved populations
Day Five: Distribution, Safety & the Future of Insurance
- Next-Gen Distribution: chatbots, robo-advisors, and recommendation engines
- Data-driven tailoring of offers and proactive risk alerts
- AI’s impact on underwriting and claims roles; upskilling for the future.
- Fair marketing practices, informed consent, and AI accountability in digital sales
- Using AI data to refine distribution channel efficiency and customer lifetime value
- Expanding access to underserved markets through AI-enhanced digital channels
