Harnessing AI to transform the Insurance Industry June 4-5, 2025
London
20+
20+ 150+ Sessions Speakers Attendees
Key themes 2025: Our speakers:
Key Topics Stream 1
Fraud: Utilizing AI to enhance fraud detection and prevention
Future of Insurance: Future of AI in Insurance: What’s Next?
Customers: Developing winning strategies for customer centric AI programs
Integration: Breaking silos: Integrating underwriting and claims processes using AI
Emerging Technology: Exploring opportunities across a range of emerging technologies in financial services
Key Topics Stream 2
Culture: Building a culture of responsible AI in insurance
Governance: Building AI governance processes to ensure ethical and compliant systems
Ethics: Operationalizing AI ethics across teams
Data: Creating an AI-ready data driven infrastructure
People Risk: Workforce transformation in the age of AI
Natasha Davydova CIO AXA
Madhur Hemnani Head of Data Strategy & Data Governance Zurich Insurance
Mike Williams Director of Technology Enablement Vitality
Martin Lidl CDO Admiral Pioneer Admiral Group Plc
Sumesh Vijayakumar Head of Claims Transformation Beazley
Agenda | Day 1 | June 4, 2025
REGISTRATION AND BREAKFAST
8:50 CHAIR’S OPENING REMARKS
OPENING SESSION
9:00 How AI is revolutionizing the insurance industry – Current trends and future outlook
• Overview of AI adoption in underwriting, claims, and beyond
• Emerging technologies transforming the insurance landscape
• Challenges and opportunities
Natasha Davydova, CIO, AXA
FUTURE STATE - FIRESIDE CHAT
9:50 The Future of AI in Insurance: What’s next?
• Predicting next-generation AI capabilities and challenges
• Preparing for the evolution of regulatory and market landscapes
• Key takeaways for insurers embracing the AI revolution
Mike Downing, CTO, WPA Health Insurance
10:30 MORNING REFRESHMENT BREAK AND NETWORKING
AI Transformation: Core Insurance Functions
UNDERWRITING
11:00 Leveraging AI for dynamic pricing and predictive analytics in underwriting
• Leveraging real-time data for accurate pricing models
• Streamlining underwriting workflows with predictive AI tools
• Success stories of AI-powered underwriting
Kevin O’ Donovan, Director of NM Data & Analytics, Markel International
CLAIMS – PANEL DISCUSSION
11:40 Delivering automation and efficiency through AI- powered claims processing
• Using AI to automate claims workflows and improve triage
• Enhancing accuracy in claims settlements with predictive analytics
• Reviewing impact to customer service and satisfaction
Madhur Hemnani, Governance, Merve Alanyali, Miguel Palacios, Insurance Services
AI Enablement: Risk, Compliance, and Data
DATA
11:00 Creating an AI-ready data driven infrastructure
• Challenges transitioning from legacy systems to modern platforms
• Managing data quality and governance requirements
• Building scalable cloud-based data ecosystems
Mattias Trostek, CIO, ICA Forsakring
DATA – PANEL DISCUSSION
11:40 Developing a strategic approach to data governance
• Aligning enterprise data strategies with AI implementation
• Addressing biases and improving data diversity
• Building trust through transparent data practices
Gustav Aspengren, CTO, GarBo
AI Transformation: Core Insurance Functions
FRAUD
1:30 Utilizing AI to enhance fraud detection and prevention
• Identifying fraudulent claims patterns
• Proactive fraud prevention strategies in underwriting and claims
• Balancing fraud detection with customer experience
Gareth Davies, Global Head of Fraud, Allianz
INTEGRATION
2:10 Breaking silos: Integrating underwriting and claims processes using AI
• Leveraging shared data to develop seamless workflows
• Bridging communication gaps across departments
• Effective implementation road mapping for crossfunctional AI integration
Andreas Wenk, CTO, Cleos Welt
AI AGENTS
2:50 Revolutionizing insurance with AI Agents: capabilities, impacts, and future prospects
• What are AI agents and key benefits for the insurance industry
• Types of AI agents currently used and possible applications
• Examples of user cases of AI Agents in insurance and benefits for each application
• What is the future direction of AI Agents technology development in insurance industry?
Ashok Singh, Insurance Technologies Solution Archiect, Admiral Group Plc
AI
Enablement:
Risk, Compliance, and Data
GOVERNANCE
1:30 Building AI governance processes to ensure ethical and compliant systems
• Best practices for AI governance frameworks
• Navigating industry regulations including GDPR and AI Act
• Setting up monitoring and auditing mechanisms for AI systems
Oystein Endal, AI Risk Officer, Gjensidige
THIRD PARTY RISK
2:10 Using AI to manage vendor ecosystems for effective oversight of risk
• Identifying and mitigating risks in vendor-provided AI tools
• Best practices for vendor selection and oversight
• Effective oversight of third parties using AI
REGULATION
2:50 Reviewing current and future AI regulatory expectations
• Insights into upcoming global AI regulations
• Proactive measures to ensure compliance
• Tools and techniques for regulatory reporting in AI systems
3:30 AFTERNOON REFRESHMENT BREAK AND NETWORKING
PERSONALIZATION
4:00 Using AI to deliver tailored products and personalization to customers
• Customizing coverage through real-time data and AI models
• Applications of microinsurance and on-demand products
• Scaling personalization across product lines
Alon Efrati, Data Scientist, OHRA
FUTURE OF AI - PANEL DISCUSSION
4:40 The future of AI in core insurance functions
• Predicting next-generation AI capabilities in underwriting and claims
• Preparing for emerging challenges and opportunities
• Success factors for long-term AI adoption
Tasneem Harnekar, Head of Transformationct, Aviva
James Sciberras, AI Development Lead, Zurich UK
CUSTOMER ENGAGEMENT
4:00 Reviewing uses of AI to enhance customer engagement and interaction
• Personalizing customer interactions with AI-driven insights
• Improving customer retention and loyalty through AI tools
• Developing tailored products through AI insights
Preeti Sawalani, Head Global Customer Management, Swiss Re Corporate Solutions
ETHICS - PANEL DISCUSSION
4:40 Operationalizing AI ethics across teams
• Embedding ethics into AI workflows across functions
• Aligning cross-functional teams on AI standards
• Real-world examples of ethical AI adoption
Raha Moosavi, Data Scientist, Bupa
5:30 CHAIR’S CLOSING REMARKS AND NETWORKING DRINKS RECEPTION
Agenda | Day 2 | June 5, 2025
REGISTRATION AND BREAKFAST
8:50 CHAIR’S OPENING REMARKS
PRESENTATION
9:00 Enabling AI across a workforce
• Discussing the importance of integrating AI into the workforce and how it can drive efficiency and innovation
• Highlighting training programs implemented at Vitality to upskill employees and ensure they are proficient in using AI tools
• Explaining different approaches to analysing use cases, the importance of business value tracking and targeting maximum value
• Describing ways AI has improved business productivity at Vitality
• Future outlook of the workforce using AI at Vitality
Mike Williams, Director of Technology Enablement, Vitality
PANEL DISCUSSION
9:30 Scaling AI in insurance: From pilots to enterprise-wide adoption
• Transitioning from proof-of-concept to full-scale AI solutions
• Overcoming challenges in scaling AI effectively
• Lessons learned from successful implementations
Andrew Beal, Group Chief Architect, Markerstudy Insurance
Mike Williams, Director of Technology Enablement, Vitality
10:20 MORNING REFRESHMENT BREAK AND NETWORKING
AI Transformation: Core Insurance Functions
CUSTOMERS
10:50 Developing winning strategies for customer centric AI programs
• Building loyalty through personalized customer journeys
• Leveraging AI to anticipate customer needs and preferences
• Success stories in improving retention and satisfaction
Sumesh Vijayakumar, Head of Claims Transformation, Beazley
PRICING
11:30 Leveraging data analytics to innovate pricing models
• Using real-time external and internal data to refine pricing
• Ensuring fairness and compliance in pricing algorithms
• Scaling AI-driven pricing tools across markets
Karl Ove Aarbu, Director & Tech Lead, Tryg Norge
AI Enablement: Risk, Compliance, and Data
RISK ASSESSMENT
10:50 Leveraging predictive analytics as a tool to enhance risk assessment
• How AI is transforming risk profiling
• Leveraging external datasets for advanced predictions
• Integrating predictive analytics into existing processes
Martin Lidl, CDO Admiral Pioneer, Admiral Group Plc
CULTURE
11:30 Building a culture of responsible AI in insurance
• Embedding ethics and responsibility in AI development
• Strategies to foster internal buy-in and cultural alignment
• Cultural changes across large organizations
12:10 LUNCH BREAK AND NETWORKING
AI Transformation: Core Insurance Functions AI Enablement: Risk, Compliance, and Data
EMERGING TECHNOLOGY
1:10 Exploring opportunities across a range of emerging technologies in financial services
• Leveraging generative AI, IoT, and blockchain in insurance
• Exploring the potential of hybrid AI models
• Preparing for the next wave of AI innovation
Gokul Ramasurbramanian, Senior Machine Learning Engineer, Admiral Group Plc
1:50 Uncertainty and explainability in fraud & claims AI systems
• Decision risk confidence & the importance of using a mix of decision models
• Customer duty & trust in AI-driven decisions
• Explainable fraud systems delivering actionable leads
• Establishing a continuous model feedback loop with the business
Angelos Charitidis, Senior Manager, Data Science, Hastings Direct
RISK ANALYTICS
1:10 Reviewing the evolution of AI-powered risk analytics
• Tools and platforms enhancing risk analysis
• Key metrics for assessing the success of AI models
• How can AI advance risk management and risk analytics?
PEOPLE RISK
1:50 Workforce transformation in the age of AI
• Reskilling and upskilling employees for AI integration
• Preparing teams for a future dominated by AI tools
• Tools and strategies for workforce transformation
Oliver Woodman, AI Lead, The Exeter
2:30 AFTERNOON REFRESHMENT BREAK AND NETWORKING
CLOSING SESSION
3:00 Driving collaboration: Tech, risk, and innovation in insurance
• Lessons from cross-functional partnerships in AI projects
• Building sustainable innovation through collaboration
• Final reflections and industry-wide calls to action
3:40 CHAIR’S CLOSING REMARKS
3:50 END OF AI IN INSURANCE EUROPE
Why should you be attending these sessions?
Ethics:
Benefits:
• Delve into real-world examples of ethical AI adoption
• Address biases, explainability and transparency in AI
• Learn how to embed ethics into AI workflows across functions
Fraud:
Benefits:
• Identify fraudulent claims patterns
• Balance fraud detection with customer experience
• Learn about proactive fraud prevention strategies in underwriting and claims
Future of Insurance
Benefits:
• Prepare for emerging challenges and opportunities
• Discuss success factors for long-term AI adoption
• Predict next-generation AI capabilities
Culture:
Benefits:
• Embed ethics and responsibility in AI development
• Learn how to build a culture of responsible AI in insurance
• Assess cultural changes across large organizations
Governance:
Benefits:
• Navigate industry regulations
• Identify best practises for AI governance frameworks
• Set up monitoring and auditing mechanisms
People Risk:
Benefits:
• Prepare teams for a future dominated by AI tools
• Reskill and upskill employees for AI integration
• Review tools and strategies for workforce transformation
Data:
Benefits:
• Manage data quality and governance requirements
• Build scalable cloudbased data ecosystems
• Assess the challenges with transitioning from legacy systems to modern platforms
Emerging Technology:
Benefits:
• Prepare for the next wave of AI innovation
• Explore the potential of hybrid AI models
• Leverage generative AI, loT, and blockchain in insurance
Integration:
Benefits:
• Bridge communication gaps across departments
• Leverage shared data to develop seamless workflows
• Effectively implement road mapping for cross-functional AI integration
Customers:
Benefits:
• Build loyalty through personalized customer journeys
• Leverage AI to anticipate customer needs and preferences
• Develop winning strategies for customer centric AI programs
Sponsorship & Partnerships
Thought leadership
Advance your expertise, knowledge, and experience with a presentation, a panelist, or a roundtable discussion. Why not enhance that with an article published in Connect Magazine and CeFPro® Connect?
Lead generation
Meet with key decision makers and senior professionals at CeFPro® events, roundtables, or at an invite-only dinner.
Branding and awareness
Want to advance your organization and/or your products or offerings? What better way than at a live in-person event where you will meet leading decision-makers, or online through CeFPro®’s market intelligence reports, Connect Magazine, or Connect member’s hub.
Networking
Whether over coffee, lunch, drinks reception, or dinner, expand your network connections in person.
Positioning in the industry
Whether you are the industry leader or a start-up, CeFPro® has opportunities to maintain, advance, or promote your standing among the risk community.
Targeted and one-on-one meetings
General promotion is no replacement for connecting with key decision-makers and C-suite professionals, whether at an event, a closed-door forum, a networking reception, or a VIP dinner.
Reach business buyers
Outside of marketing and promotion, CeFPro®’s extensive range of offerings can provide clients with opportunities to reach key decision-makers and buyers.
Would your organization like to partner with us on this event?
To discuss how we can deliver your thought-leadership at the event, help you generate leads, and provide you with unique networking and branding opportunities, please contact sales@cefpro.com or call us on (+1) 888 6777007 | +44 (0)207 164 6582 for more information.
Past sponsors from across our events:
2025 Speaker Line-up
Merve Alanyali Head of Data Science AXA
Gustav Aspengren CTO GarBo
Natasha Davydova CIO AXA
Tasneem Harnekar Head of Transformation Aviva
Kevin O’ Donovan Director of NM Data & Analytics Markel International
James Sciberras AI Development Lead Zurich UK
Andreas Wenk CTO Cleos Welt
Karl Ove Aarbu Director & Tech Lead Tryg Norge
Andrew Beal Group Chief Architect Markerstudy Insurance
Mike Downing CTO WPA Health Insurance
Madhur Hemnani Head of Data Strategy & Data Governance Zurich insurance
Miguel Palacios Data & Innovation Analyst Miller Insurance Services
Ashok Singh Insurance Technologies Solution Archiect Admiral Group Plc
Mike Williams Director of Technology Enablement Vitality
To view the full AI in Insurance Europe 2025 speaker biographies scan the QR code or click here
Angelos Charitidis Senior Manager, Data Science Hastings Direct
Alon Efrati Data Scientist OHRA
Martin Lidl CDO Admiral Pioneer Admiral Group Plc
Gokul Ramasurbramanian Senior Machine Learning Engineer Admiral Group Plc
Trostek CIO ICA Forsakring
Oliver Woodman AI Lead The Exeter
Gareth Davies Global Head of Fraud Allianz
Endal AI Risk Officer Gjensidige
Raha Moosavi Data Scientist Bupa
Preeti Sawalani Head Global Customer Management Swiss Re Corporate Solutions
Sumesh Vijayakumar Head of Claims Transformation Beazley
Oystein
Mattias
Convince your Boss
#1 What Your Boss Will Say: “What’s included within the ticket price?”
“For the price of my ticket, I’ll have full access to both days and both streams of CeFPro’s AI in Insurance Summit, featuring expert-led discussions on AI innovation, regulation, governance, and risk in the insurance sector. The event provides over 8 hours of networking opportunities with senior executives and industry leaders, including structured breakfast and lunch breaks, as well as a dedicated drinks reception on day one to foster meaningful connections.
Beyond networking, I’ll gain exclusive insights from expert-led sessions, with post-event materials and resources available for continued learning. Plus, I’ll have access to a personalised CeFPro Connect portal, where I can explore the latest developments and thought leadership in AI and insurance beyond the event.”
#2
What Your Boss Will Say: “Will you learn anything of value that we can integrate into our strategy?”
“The agenda has been developed based on in-depth research and insights from senior leaders in AI, data science, risk management, and insurance technology. This ensures that every session is relevant to the real-world challenges and opportunities that insurers are currently facing.
Sessions will provide practical insights into AI-driven underwriting, risk modelling, regulatory compliance, fraud prevention, and ethical AI implementation. The knowledge gained will help us optimise our AI strategies, improve efficiency, and proactively address regulatory and operational risks.”
Below is a breakdown of the seniority of the speakers who will be sharing their expertise at CeFPro’s AI in Insurance Summit:
5 4 3 4 4
#3 What Your Boss Will Say: “What specific benefits will attending this event bring to our team?”
“This event is a valuable opportunity for professional development and strategic collaboration, with sessions covering key topics such as AI governance, regulatory frameworks, AI ethics, AI fraud, and more.
Group discounts are available, so we can attend as a team and apply our learnings together during structured discussions and focused networking. If I attend alone, I’ll still have access to post-event materials, which I can share with the team to ensure we all benefit from the insights gained. Additionally, I can direct colleagues to CeFPro Connect, where they can access free resources and stay up to date with the latest trends in AI and insurance.”
#4 What Your Boss Will Say: “What will we do with you out of the office for 2 days?”
“The venue has Wi-Fi, so I’ll be able to stay connected if anything urgent arises. There will also be regular breaks for lunch and refreshments, allowing me the flexibility to check in with the team as needed.
Attending this event will provide valuable insights that will directly enhance our AI strategy and decisionmaking processes. The knowledge gained will be a worthwhile investment of my time and will contribute to long-term improvements in our AI-driven initiatives.”
#5 What Your Boss Will Say: “How will you share the knowledge and insights gained with the rest of the team?”
“I’ll take notes during the sessions to capture key takeaways and actionable insights. If you’d like, I can prepare a summary report or presentation to share my findings and recommendations with the team. Additionally, I’ll have access to post-event materials, including speaker presentations, in-depth interviews, and related articles. These resources will reinforce our discussions and help us integrate the learnings into our strategy moving forward.”
For further help in convincing your bossto let you attend, Scan the QR code or click here for access.
Canary Wharf Shopping Centre
– A mix of high-end and high-street retail stores, plus great dining options.
Museum of London Docklands
A fascinating look at London’s maritime history, just a short walk from the venue.
Hilton London Canary Wharf South Quay, Marsh Wall, London, E14 9SH, United Kingdom
Crossrail Place Roof Garden
A hidden oasis above the city with exotic plants and a peaceful atmosphere.
Nearby Hotels
Boisdale of Canary Wharf
A Scottish restaurant and jazz club, perfect for networking over fine whisky and live music.
Booking a hotel at Hilton London Canary Wharf places you in the heart of one of London’s key financial districts, offering seamless access to CeFPro’s AI in Insurance Summit. The hotel is well-connected via the Jubilee Line and DLR, ensuring quick and easy transport across the city.
• Canary Riverside Plaza Hotel – A luxury stay with stunning river views and top-tier amenities.
• London Marriott Hotel Canary Wharf – A stylish option with modern comforts and easy access to the DLR.
• Novotel London Canary Wharf – A contemporary hotel with a rooftop bar offering panoramic views.
• Radisson Blu Edwardian New Providence Wharf – A sophisticated riverside hotel perfect for unwinding after the event.
Registration
Launch Rate
April 4
From
Early Bird Rate
May 16
Standard Rate
After May 16
*For those representing a financial institution/government body
Group Rates
Seize the opportunity, bring the team to advance their professional development and knowledge with our group booking promotion.
50% OFF:
Purchase two tickets and receive the third registrant at 50% off the prevailing rate
Free Pass:
Don’t stop there, as the more people you register, the better the savings. With every four tickets bought, the fifth is on us, completely free!
Bringing your team not only enhances the overall experience, but also fosters significant team building among colleagues while allowing you to save on your registration.
What’s Included
Access to 20+ sessions
Networking: 7+ hours
Lunch + Refreshments
Networking cocktail reception
PPT slides/decks
Podcasts with industry experts
Videos and interviews from the event
Connect Magazine complimentary
CeFPro Connect membership
Community network and engagement
Market intelligence reports access
To register your place at the best rate possible, click here, or scan the QR code.
Topic Related Insights
A Guide To: AI in Insurance
Ted Pine, Sr Business Development Manager, Insure AI, Munich Re
Explore how AI is reshaping the insurance industry, offering groundbreaking ways to streamline operations, enhance personalization, and forecast risks with remarkable accuracy. This guide serves as a comprehensive resource for insurance professionals, from those exploring AI’s potential to seasoned experts. Delve into expert insights, practical applications, and strategic frameworks to navigate the promises—and pitfalls—of AI in today’s insurance landscape.
• AI’s integration into underwriting processes enables insurers to assess risks with greater accuracy and efficiency, transforming traditional methods.
• Enhanced customer personalization through AI-driven tools is reshaping the insurance experience, creating tailored offerings and proactive outreach.
• Predictive analytics, powered by AI, allow insurers to anticipate potential risks and streamline claims management, reducing losses and improving response times.
• Responsible implementation of AI is essential, as it presents unique ethical and regulatory challenges that insurers must address to maintain trust and compliance.
AI is transforming the insurance sector, from underwriting to claims processing, enabling insurers to enhance efficiency, personalize customer experiences, and anticipate risks with unprecedented accuracy. As AI adoption accelerates, insurance professionals face both significant opportunities and complex challenges in implementing these technologies responsibly.
Whether you’re exploring AI’s potential for the first time or actively integrating it into your organization, a deep understanding of its applications in insurance is vital for success in this evolving landscape.
A Guide To: AI in Insurance is designed to be your essential resource—whether you’re new to AI or an experienced professional seeking advanced insights. Featuring expert perspectives, strategic guidance, and practical applications led by industry thought leaders, this guide will empower you to leverage AI with confidence and drive transformative results for your organization.
To continue reading click here, or scan the QR code.
Topic Related Insights
Overcoming the Challenges of AI Integration
Benoît Rouppert, Head of Data & AI, MEILLEURTAUX
Implementing artificial intelligence (AI) in an enterprise environment comes with unique hurdles, especially when new technologies like generative AI (GenAI) are involved.
In a recent Q&A session with Andreas Simou, Managing Director at CeFPro, Benoit Rupert, Head of Data & AI at Meilleurtaux, shared his insights into overcoming the major challenges companies face when integrating AI.
Rupert emphasized the importance of a valuedriven approach, multidisciplinary collaboration, compliance with evolving regulations, and the need for adaptable infrastructure in a rapidly changing tech landscape.
One of the primary challenges, Rupert noted, lies in the initial approach to AI projects. “The first thing is to discuss with the business teams since the very beginning,” he explained, underscoring the need for early engagement with various business units.
AI implementation isn’t just about leveraging technology for its own sake; it must address actual business needs.
Rupert warned that without this alignment, projects could become costly and ultimately fail
to deliver value. He added that the journey from research to prototype and production is complex and requires flexibility.
“The conditions at the very beginning are very different from the conditions at the end. You have to be able to change the way you conduct the project along the road,” he advised.
This flexibility is particularly critical in handling the technological infrastructure required for AI. With technology evolving at unprecedented speeds, Rupert highlighted how rapid changes could render investments obsolete in months.
“The main challenge is about legacy management,” he said, referencing the short shelf-life of certain AI models that can become outdated within six months. To counteract this, Rupert suggested a “plug-and-play system” where outdated models can be seamlessly replaced without disrupting the core business processes.
To continue reading click here, or scan the QR code.
He noted that companies with inflexible structures often face setbacks, pointing out the risks of “investing many years in an old-fashioned chatbot, only to have that investment wiped out by the release of a more powerful GenAI.”
Great minds think alike, but brilliant minds think differently.
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