2026 Agenda

Many life insurers have invested heavily in transformation, yet struggle to demonstrate sustained impact on cost, growth, or service. In this roundtable session, we will discuss how successful organisations shift from discrete initiatives to coherent, value‑led digitisation programmes that actually change how the business operates, with long-term impact. The focus is on leadership, governance, and value realisation, in rapidly changing and challenging markets.  

If you would like to join this roundtable, please sign up here, and we will inform you by email once your place is confirmed.

Please note that this session is exclusively for ITC Europe participants. Still need a ticket? Register now to join.

This keynote explores a fundamental shift taking place across the insurance industry as AI moves from experimentation into core operations. For decades, insurers have scaled through processes and controls that embedded judgement into rules. AI changes this model by bringing judgement back into the open, through probabilistic recommendations, adaptive systems, and machine‑assisted decisions that directly affect risk selection, pricing, claims, and customer outcomes.

The session argues that this shift forces a new leadership responsibility: when AI influences decisions, ownership cannot sit with systems or IT alone, it must sit with the business. The “run of AI” becomes a matter of executive ownership, accountability, and decision governance rather than technology delivery.

Drawing on insurance‑specific realities, the keynote frames innovation not as faster experimentation, but as disciplined decision‑making under uncertainty. It challenges leaders to rethink where accountability sits, how control is achieved when learning is continuous, and why the next generation of insurers will differentiate not by process maturity, but by their ability to own, explain, and improve decisions at scale.

Legacy insurers are not broken but they are constrained. This board-level discussion focuses on modernising technology, processes, and culture without destabilising core operations, solvency, or trust.

• Learn proven sequencing for large-scale transformation
• Understand how boards manage risk while enabling change
• Discover how culture accelerates or derails execution

Everyone is talking about AI in insurance. Very few are actually making it work.

In this executive roundtable (limited to 15 participants), Thomas Münkel (CEO Luko Insurance), Dr. Danilo Raponi (Group Head of Innovation, Generali), and Dr. Christoph Nabholz (CEO Risk Insight Consulting) share what really happens when you try to implement AI inside an insurance organization, drawing on insights from their book Artificial Intelligence in the Insurance Industry: Insider Perspectives on Opportunities, Risks, and Practical Applications of AI.

This is not a presentation. It’s a candid, off-the-record discussion with peers and experts on:

• What works – and what fails – when embedding AI into real business and IT environments.
• How to deal with legacy systems, data silos, and organizational resistance.
• Which governance and risk approaches are practical and usable.

You’ll also explore how generative and agentic AI are reshaping underwriting, claims, and product innovation, and what that means for your business now.

Seats are limited. Join the conversation if you want to move beyond pilots and PowerPoints to real impact.

This keynote explores how organisations can overcome the hurdles that hold them back from replacing their legacy core system with a modern, AI-powered, SaaS-based platform.

• How can a phased transformation approach help insurers to reduce risk, maintain business continuity and introduce scalable cloud capabilities gradually?
• What are the key success factors for building a secure, flexible and future-ready core that enables continuous innovation?
• How can the combination of insurance expertise, data and AI unlock new business value?

As claims organisations embrace automation and agentic AI, the biggest breakthroughs are human. In specialist and complex claims, human input remains essential for judgment, nuance, and customer trust. This session explores how to design an AI “claims buddy” that augments, rather than replaces, expert handlers; how to bring long-tenured teams along on the journey; and how to rethink workforce planning, skills, and culture as AI takes on a second-opinion role in the claims file.

• Learn how to design and implement an AI “claims buddy” for complex, specialist lines
• Understand practical change management tactics to engage and upskill claims teams
• Discover how agentic AI can accelerate progress where traditional automation stalled

Most insurers are increasing AI spend without seeing real results. The problem isn’t the models, it’s the architecture. Federato CTO & Co-Founder William Steenbergen makes the case that you can’t bolt AI onto broken old core systems. To unlock performance and better business outcomes, insurers must shift to AI-native foundations.

Most insurance organisations are stuck in pilot purgatory: scattered AI experiments, no scale, no commercial return. The leap to agentic AI demands a fundamentally different approach. A platform, not point solutions. Think lasagna, not spaghetti.
In this executive roundtable, we'll explore why a platform approach wins every time. Together with the participants, we'll scope a real use case live, walk through a claims process running autonomously end-to-end, and unpack the commercial model behind it - what it costs, what it returns, and how quickly. Drawing on case studies from leading global insurers, you'll leave with a concrete blueprint for how to drive meaningful P&L impact by year-end.
 

If you would like to join this roundtable, please sign up here, and we will inform you by email once your place is confirmed.

Please note that this session is exclusively for ITC Europe participants. Still need a ticket? Register now to join.

AI costs are surging, and they don't behave like any IT spend you've managed before. Unlike traditional infrastructure, AI expenditure is volatile, hard to forecast, and grows in ways that can quickly outpace budget assumptions. Relating AI token costs to business outcomes is becoming a critical challenge for organisations trying to scale AI responsibly while maintaining financial control.

At the heart of this is a new economic reality: tokens are the unit by which AI is priced, consumed, and billed. For those responsible for technology spend, understanding how tokens work, and how to control them, is now a boardroom-level concern.

Join this peer-led roundtable of insurance leaders responsible for AI investment and technology spend. This is a candid, experience-first discussion on how organisations are making sense of AI costs, holding vendors accountable, and building the financial controls to scale AI responsibly.

What we'll cover:

• What tokens are and why they make AI spend fundamentally harder to predict and govern than traditional IT
• How agentic AI workflows are amplifying cost complexity, and what that means for budgets and business cases
• How insurance organisations are building oversight, controls, and smarter investment frameworks around AI spend

If you would like to join this roundtable, please sign up here, and we will inform you by email once your place is confirmed.

Please note that this session is exclusively for ITC Europe participants. Still need a ticket? Register now to join.

As AI becomes embedded across core business processes—such as decision-making, pricing, operations, customer interaction, and automation—liability is increasingly shifting from human error to algorithmic responsibility.

This challenge invites startups to address how AI‑driven risks can be identified, monitored, governed, and ultimately managed across real‑world, regulated and unregulated operational environments.

Embedded and parametric insurance promise seamless protection, yet most initiatives fail to generate sustainable value. The challenge is identifying which models genuinely align incentives across insurers, partners, and customers.

• Learn which models generate real revenue
• Understand common execution failures
• Discover criteria for viable embedded strategies

This irreverent keynote challenges a core assumption: that better Software delivers competitive advantage. Prompt-based AI coding is rapidly commoditising software—making it faster, cheaper, and far less defensible.

For insurers, this transforms the economics of opportunity. Products and partnerships once rejected due to cost, timelines, or uncertainty can now be tested, launched, and iterated at speed.

Competitive edge shifts away from systems and towards data, distribution, underwriting discipline, and the ability to execute quickly within regulatory constraints.

Using EIP’s “venture tech” model and “voice-led AI claims agent” as a live example, this keynote lands a clear message:

The companies  who win will be the ones who can finally say “yes” to opportunities others still can’t.

Europe's diversity is both its strength and its constraint. This panel examines why even digital-native products fail to scale cross-border and how some organisations are redesigning governance, architecture, and legal models to break through.

• Understand the real barriers to pan-European growth
• Learn how leaders redesign operating structures
• Discover strategies to unlock cross-border expansion

7Analytics is a Norwegian technology company founded by four geologists with backgrounds in fluid dynamics and subsurface modelling from the oil & gas industry. The company was established to close a critical knowledge gap in understanding and underwriting flood risk with true precision.

7Analytics provides 1x1m flood hazard data for all flood types (pluvial, riverine, coastal, and flash floods), building-level pluvial flood scores, as well as forecasting and early warning solutions. The data is already used by property insurers in six countries for underwriting, pricing, and event response — and by banks, cities, hospitals, energy companies, manufacturers, and retailers to strengthen climate resilience and prevent loss of life and business interruptions.

In this presentation, we present a Germany-wide study conducted with Gen Re and 12 of its primary carrier clients. Our pluvial flood model demonstrates strong predictive performance against historical claims data — particularly when compared to other flood models and GDV (ZÜRS) classifications. Furthermore, our analysis of 7 million residential buildings across all 16 German states shows that portfolios with high pluvial flood exposure correlate strongly with lower insurer profitability.

Celebrating 10 years of DIAmond Awards we're showcasing 10 cutting edge startups from across the European Insurtech landscape who will compete to take home the coveted DIAmond Award.

• Discover Europe's most exciting startups
• Compare innovation approaches live
• Spot emerging investment themes

The insurtech landscape has shifted from rapid experimentation to disciplined, thesis-driven investment. As capital becomes more selective, investors are recalibrating how they assess risk, resilience, and real differentiation in insurance startups. This panel brings together leading insurtech investors to unpack what’s working now, where value is actually being created, and what they see on the horizon—from embedded and parametric plays to AI-native carriers and infrastructure layers reshaping the stack.

• Understand how investors are redefining “insurtech” in today’s market
• Learn what drives funding decisions across current and next-generation models
• Discover which themes, technologies, and business models are shaping the future startup landscape

Broker networks are being reshaped by consolidation, digital platforms, and shifting economics across Europe. The challenge for carriers is deciding how to position themselves as broker influence, value creation, and bargaining power continue to evolve.

• Understand changing broker economics
• Learn how carrier strategies must adapt
• Discover where future value will concentrate

AI is quickly becoming core infrastructure for insurers, and the build-vs-buy question is no longer just an IT decision – it's a strategic one with long-term implications for cost, control, and capability. This session cuts through the hype with candid, real-world perspectives on how that decision actually gets made.

• A practical canvas for deciding build vs. buy vs. blend in your own context
• Real-world learnings from AI rollouts – what worked and what didn't
• An invitation to join the AI Adoption Executive Club