Agentic AI moves from experimentation to enterprise implementation
InsTech and AI Risk present a one-day event on how agentic AI is moving beyond point solutions to coordinated deployment
Insurance is entering a more demanding phase of AI adoption. Early experimentation has shown what the technology can do, but expectations are rising. Boards want investment cases that stand up to scrutiny. Technology and data leaders are being asked to move beyond disconnected pilots. Operations, underwriting and claims teams need to understand how workflows and decision-making change when AI begins to shape work across functions.
These are not separate issues. They are all part of the same shift: from isolated experiments to AI that changes how the whole business works.
Organisations that treat AI as a set of isolated tools may improve individual tasks, but they will struggle to compound the returns. Those that connect systems, workflows and decisions across the business will be better placed to improve performance, scale adoption and make the economics stand up.
On 7 July, InsTech and AI Risk bring together 450 insurance professionals for a full-day programme designed to help navigate that shift, from the boardroom to the teams building and running it. The programme covers the economics of agentic AI and where the durable advantage actually sits, what production deployments look like in practice, what enterprise-scale implementation requires in a London Market business, what insurance can learn from sectors already operating further along the AI curve, and what the industry looks like in 2030.
Key themes for 2026
The strategic, operational and commercial questions shaping the next phase of agentic AI in insurance.
Most insurers cannot tell you what their current processes cost. They do not know how long each step takes, what each risk costs to underwrite, or how much of a claim sits in administration versus assessment. So when agentic AI gets implemented, the ROI calculation has to be reconstructed backwards.
This theme runs throughout the day and tackles the question every CFO and board is asking: where is the return, and how do we measure it when the starting point is unclear? Sessions cover what separates the AI spend that compounds from the spend that just buys parity, why the leaders need a holistic strategy rather than a queue of disparate pilots and how the dependencies between productivity, growth and customer experience actually play out across the business.
Real implementation: case studies from insurers who have done it
The industry is full of pilots and proofs of concept. What it lacks is detail on what production deployments actually look like.
This theme brings together three insurance leaders, each with 15 minutes, walking through specific deployments. Two production case studies inside major carriers, spanning operational transformation and customer-facing change, plus a new initiative using agentic AI to close insurance protection gaps in Europe. Real numbers, real timelines, real lessons.
Operating at scale in the London Market
Most discussion of agentic AI happens at a strategic level. This theme is about what it looks like on the ground in the London Market, where the operational reality of legacy systems, regulated processes and specialty risk creates a different set of challenges to the rest of the industry.
A panel of practitioners from a Lloyd’s syndicate, a broker and a large multi-line carrier shares what enterprise-scale deployment requires: how processes change when agents handle multi-step decisions, how to redraw roles when professionals supervise AI rather than do the work themselves, how to govern autonomous systems in a regulated environment and how to prove ROI when the original cost of doing business was never properly measured. Honest perspectives on what worked, what stalled and what they would do differently.
Lessons from outside insurance
The most advanced work in agentic AI is happening at the edges, outside the major vendor platforms most insurers currently evaluate. This theme brings two perspectives from beyond the industry to broaden the conversation in the room.
The first is from banking, which is a few years ahead of insurance in deploying AI at scale. JPMorgan Chase built one of the largest AI deployments in financial services and the person who founded and led that work shares what insurance can learn from the experience. The second is sharper still: AI agents can now conceive, design and launch a business from scratch in weeks, without a team. A live demonstration of one founder doing exactly that, alongside a demonstration of how every agentic AI decision can be kept transparent, accountable and audit-ready in production. Sessions designed to challenge assumptions and expose delegates to capability that is further along than the industry’s current conversation suggests.
The closing theme takes the medium-term view. When operational capacity is no longer constrained by headcount and the work that used to define a junior career is increasingly handled by agents, what actually changes in the business of insurance?
Do you employ the same people? Do you work with the same business partners? Do you need the same resourcing? Does the relationship with brokers and distribution change when AI is mediating placement? A panel of senior leaders extrapolates from what the most advanced deployments have already shown us, and tackles the question most consultant predictions get wrong: will it happen faster or slower than 2030, and what should an executive team be doing now to be ready either way?
Meet our Confirmed Speakers
We’ve brought together senior leaders from insurers, brokers, MGAs, technology providers and AI specialists to explore what it takes to move agentic AI from isolated pilots to coordinated, enterprise-scale deployment.
Why this is a must-attend event
A sharper, more commercially grounded conversation for insurance professionals thinking seriously about agentic AI.
The conversation has moved on
A year ago, the industry was asking whether agentic AI was real and what it might mean for insurance. Those questions are largely settled. What has replaced them is harder: where does the durable advantage sit, what does production deployment actually look like and how do you build a business case when nobody knows their current costs? This programme is designed around that more demanding conversation.
Commercial value, not hype
Every main stage session is anchored in what has actually been built and deployed. The emphasis is on real business cases, honest reflection on what the economics look like in practice and evidence from practitioners who have moved beyond pilots. The programme also includes a technology frontier session designed to show delegates what is already possible at the cutting edge — not to sell it, but to broaden perspective on where agentic AI is heading.
The programme is designed to deliver value across functions, not just to the C-suite. Whether you are responsible for the investment case, the architecture, the operating model or the teams whose work is changing, there are sessions built for you.
Rigour over hype
Speakers are selected for what they have built and deployed, not what they have announced. Expect evidence-based perspectives, verified production outcomes and candid discussion of what has not worked, alongside what has. The goal is to help attendees make better decisions, faster, with fewer blind spots.
Who you’ll be in the room with
In November 2025, more than 350 senior decision-makers joined us to explore the rise of agentic AI. The event sold out. At the time, the industry was testing, learning and assessing the implications.
This year we move to a larger venue to accommodate up to 450 delegates — a senior audience drawn from carriers, reinsurers, brokers, MGAs, TPAs and insurtechs across the UK and Europe.
An InsTech community event
Bringing together those with an interest in risk and insurance, InsTech is a community that connects the insurance ecosystem. Our global network of over 30,000 senior insurance professionals and 150+ Corporate Members consists of large enterprises, early-stage start-ups and everything in between. We run over 100 live and digital events each year.
Cavendish Venues, 1 Basinghall Avenue, London EC2V 5DD
A new home for Agentic AI
For 2026, Agentic AI moves to Cavendish Venues at 1 Basinghall Avenue — a larger, purpose-built space in the heart of the City of London.
Just minutes from major transport links, the venue offers a modern auditorium seating up to 450 delegates, alongside a dedicated exhibition area for 30 curated technology partners. A spacious reception area provides room for meaningful networking before, during and after the main programme.
Nearest Tube: Aldgate, Tower Hill, Liverpool Street stations. Nearest Overground: Fenchurch Street, City Thameslink.
Breakout sessions
1A. "Straight to quote" - giving underwriters time back to grow their business
In this breakout with Federato, you will see how an underwriter can “start with a quote”. Where the platform has found the risk in the inbox, ingested it, rated it, assessed it against appetite, suggested coverages, highlighted any red flags and created the entire quote pack, ready for the UW top review and send. In about 5 minutes.
If the risk was out of appetite, the platform would have filed it.
The platform can do this with every in-appetite risk the firm receives, reading the entire submission every time, applying product specification and underwriting guidelines consistently, every time.
Get to every risk, write all the in-appetite business you’re shown, grow your book and make more profit.
Speaker(s)
- TBC, Federato
1B. Meaningful ROI from Agentic AI in 3 months
Most insurance companies are stuck in pilot purgatory: scattered AI experiments, no scale, limited commercial return. The leap to agentic AI demands a fundamentally different approach. A platform, not point solutions. Think lasagna, not spaghetti. In this hands-on workshop with Otera, we’ll show what a platform approach wins every time. We’ll scope a real use case live, walk through a core 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 ROI in 3 months.
Speakers(s)
- Stefan Ramershoven, Co-Founder & Managing Director, Otera
1C. From ping pong emails to agentic coordination: building the 2030 insurance market
This session from AgLabs, part of Artificial, will explore how the specialty insurance market could evolve from today’s email-driven processes to a coordinated Agent-to-Agent (A2A) ecosystem by 2030. AgLabs will outline a vision for a 24/7 market infrastructure where AI agents handle the coordination, clarification and data translation that slow the market today, while humans remain firmly in control of judgement and decisions. The session will conclude with a discussion with industry and technology leaders, including early adopters already deploying these agents within their teams today, to explore what it will take to make this future a reality.
Speaker(s)
- Alexis Renaudin, Head of AgLabs, Artificial
2A. Agentic underwriting: from AI experimentation to enterprise orchestration
AI is reshaping underwriting – but too many initiatives are still stuck in pilots, creating noise, duplication and limited impact. Meanwhile, rising risk complexity, market volatility and expectations for faster, more consistent decisions mean insurers can’t afford to wait.
This session with SEND explores the forces driving underwriting transformation today and what it takes to move from isolated AI use cases to real enterprise value. We will introduce the concept of an orchestration layer – enabling insurers to coordinate multiple AI agents across the end-to-end underwriting journey while maintaining control, governance and accountability.
You will gain a practical view of the Send Agentic Framework, including how insurers can build and deploy agents, unlock trusted automation and empower underwriters to focus on judgement, insight and portfolio performance.
The session will conclude with a live demonstration of an underwriting agent in production, showing how leading insurers are already building the future of autonomous underwriting.
Speaker(s)
- Dan Pass, CTO, SEND
- Lloyd Peters, Head of Revenue, SEND
2B. Agentic AI and the future of customer trust in insurance
Drawing on insights from Capgemini’s latest World Property & Casualty Insurance Report, this session will explore how shifting customer expectations, evolving market dynamics, and advances in AI are reshaping the future of insurance. Against this backdrop, Gilles Talbot of Genesys and Shrinivas Shikhare of Capgemini will discuss how agentic AI is enabling organisations to move beyond traditional automation toward intelligent orchestration that can reason, act, and collaborate alongside employees in real time.
In an era of economic uncertainty, climate disruption, and rising customer expectations, insurers must deliver experiences that are fast, empathetic, and trustworthy. We will discuss how insurers can use AI to proactively identify customer needs, personalise engagement across channels, and empower employees with real-time guidance. Attendees will gain insight into how AI can strengthen resilience, improve operational agility, and build lasting customer trust during moments that matter most.
Key points:
- Insights from Capgemini’s latest World Property & Casualty
- Insurance Report and what they mean for insurers’ AI strategies
- Moving from automation to AI experience orchestration
- Delivering empathetic experiences at scale
- Empowering employees with AI-driven guidance
- Building trust through responsible AI and transparency
Speaker(s)
- Gilles Talbot, Insurance Director – EMEA, Genesys
- Shrinivas Shikhare, Insurance Business Architect,Capgemini
2C. Beyond the pilot: what leading insurance firms are actually doing with AI
Most insurance firms know they need to move on AI. Few have figured out how to move fast. Pilots stall. Internal stakeholders can’t agree on where to start. Technology teams are overwhelmed with competing demands and business lines are evaluating point solutions that don’t talk to each other. Meanwhile, the pressure to demonstrate ROI quickly to boards, to capacity providers, to investors makes experimentation feel like a luxury.
Underneath that, the structural challenges are real: fragmented legacy IT estates that were never designed for AI integration; data that lives in documents rather than systems; compliance and regulatory scrutiny that makes teams cautious about what they automate and how; and an organisational tendency to protect existing processes rather than reimagine them. The result is an industry that is acutely aware of what AI could do – and largely stuck at the starting line.
This session with V7 gives insurance professionals a clear-eyed view of where AI is actually being deployed in production – not in pilots, not in proofs of concept, but live, at scale, across underwriting, exposure management, claims and MGA operations. Attendees will leave with a concrete understanding of which workflows are being automated today, what the measurable impact looks like and what it means competitively for firms that move – and those that don’t.
Speaker(s)
- John Somerset-Irving, Global Head of Insurance, V7
3A. Safe Agentic AI in weeks: boost service and compliance without added risk
Agentic AI is powerful, but difficult to implement within the insurance industry’s strict regulatory environment, legacy systems and complex workflows.
In this breakout with Unitary, you will learn how to deploy Agentic AI in a matter of weeks—strengthening compliance and service without introducing additional risk. MGAs, brokers and insurance leaders will leave with a clear understanding of how to streamline operations into a scalable, reliable operating model while delivering improved service.
Speaker(s)
- Sasha Haco, CEO & Co-founder, Unitary
3B. The intelligence is only as good as the foundation
In this breakout, you will learn why most insurance AI pilots stall, and what the ones that don’t, have in common. The answer is almost always a foundation problem, not an agent problem. Every AI agent performing a commercial underwriting task is only as accurate as the product logic, appetite rules and underwriting guidelines it acts on. If those aren’t current, consistent and controlled by the insurer, faster automation simply means more wrong decisions, delivered quicker.
INSTANDA is that foundation: a no-code, insurer-controlled core system where product managers and underwriters define the commercial logic that AI acts on. Changes that used to take months take days. And on the roadmap: prompt-based configuration that makes the same changes in minutes. Kevin Gaut will demonstrate this live, connect it to the metrics that matter to a CFO — not a CTO, and show how the intelligence is only as good as the foundation it runs on.
Speaker(s)
- Kevin Gaut, Chief Technology Officer, INSTANDA
3C. Agentic AI execution of insurance operations
In this breakout with mea Platform, we will explore what happens when insurance operations are designed to run with AI as the execution layer.
This is a discussion about a different operating model—one where work is continuously executed, systems act in coordination, and decisions are informed in real time. Capacity is no longer defined by team size, and performance is no longer constrained by how work moves through an organisation.
You will leave with a clear view of how leading insurance organisations are redesigning operations around AI execution—unlocking greater scale, sharper focus from their people and a level of operating performance that was not previously achievable.
Speaker(s)
- Graeme Asquith, UK Managing Director, mea Platform
- Max Richter, EMEA CEO & Global Growth Leader, mea Platform
Plenary
8:30 am – 11:00 am
8:30 am - 9:15 am
Registration and breakfast
9:15 am - 9:40 am
Keynote: where the lasting value of agentic AI actually sits
The tools you can buy today, your competitors can buy tomorrow. So, where does the durable advantage come from in agentic AI investment and what separates the spend that compounds from the spend that just buys parity?
Most agentic AI investment depreciates within months. What does not depreciate is the accumulated reasoning your business has built over time – how your underwriters assess risk, how your claims teams handle exceptions, how your distribution teams qualify opportunities. When that reasoning is captured and made scalable through agentic systems, it compounds with use.
In this keynote, you will hear:
- Why most AI investment buys parity, not advantage
- What “Intelligence Capital” means in practice and how to identify it inside your own business
- A framework for distinguishing the AI investments that compound from the ones that depreciate
- How to apply that lens to build-versus-buy decisions and investment sequencing over the next 12 to 24 months
Speaker(s)
- Simon Torrance, CEO & Founder, AI Risk
9:40 am - 10:20 am
Holistic AI - building an agentic AI strategy that hangs together
Agentic AI can cut costs, accelerate growth and reshape how customers and partners experience the business. Most insurers are focused on one. The leaders will need all three – which means a strategy that connects them, not a queue of disparate initiatives.
The benefits compound when they connect. A claims agent generates data that sharpens underwriting. A broker quote system feeds pricing intelligence. Treat them as separate programmes and you rebuild the same foundations three times. Treat them as one capability and the second and third initiatives get faster and cheaper than the first.
NN Group has spent the last few years building exactly this kind of strategy and implementing against it – further along than anyone else in the room. So Tjeerd Bosklopper begins with a short presentation on what that looks like in practice: where the architecture holds together, how the sequencing actually ran, and which early decisions paid off.
A panel then takes the question wider. Three carriers building this capability now debate how the pieces fit and where the hard choices sit:
- Where they placed their first bet, and why
- What they have learned about trying to do too much at once
- How the dependencies between productivity, growth and experience actually play out
- How they are sequencing the next 12 to 24 months
Speaker(s)
- Tjeerd Bosklopper, CEO, NN Group
- Gina Gill, Chief Information Officer, Apollo
- Ashok Krishnan, Chief Innovation, Data & Analytics Officer, AXA XL
- Moderated by Simon Torrance, CEO & Founder, AI Risk
10:20 am - 11:00 am
Networking break
Breakout sessions
11:00 am – 11:30 am
Three parallel sponsor-led workshops (30-minutes each). These are hands-on, interactive sessions with technology demonstrations and practical takeaways.
Breakout 1A
11:00 am - 11:30 am
"Straight to quote" - giving underwriters time back to grow their business
In this breakout with Federato, you will see how an underwriter can “start with a quote”. Where the platform has found the risk in the inbox, ingested it, rated it, assessed it against appetite, suggested coverages, highlighted any red flags and created the entire quote pack, ready for the UW top review and send in about 5 minutes.
If the risk was out of appetite, the platform would have filed it.
The platform can do this with every in-appetite risk the firm receives, reading the entire submission every time, applying product specification and underwriting guidelines consistently, every time.
Get to every risk, write all the in-appetite business you’re shown, grow your book and make more profit.
Speaker(s)
- TBC, Federato
Breakout 1B
11:00 am - 11:30 am
Meaningful ROI from Agentic AI in 3 months
Most insurance companies are stuck in pilot purgatory: scattered AI experiments, no scale, limited commercial return. The leap to agentic AI demands a fundamentally different approach. A platform, not point solutions. Think lasagna, not spaghetti. In this hands-on workshop with Otera, we’ll show what a platform approach wins every time. We’ll scope a real use case live, walk through a core 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 ROI in 3 months.
Speakers(s)
- Stefan Ramershoven, Co-Founder & Managing Director, Otera
Breakout 1C
11:00 am - 11:30 am
From ping pong emails to agentic coordination: building the 2030 insurance market
This session from AgLabs, part of Artificial, will explore how the specialty insurance market could evolve from today’s email-driven processes to a coordinated Agent-to-Agent (A2A) ecosystem by 2030. AgLabs will outline a vision for a 24/7 market infrastructure where AI agents handle the coordination, clarification and data translation that slow the market today, while humans remain firmly in control of judgement and decisions. The session will conclude with a discussion with industry and technology leaders, including early adopters already deploying these agents within their teams today, to explore what it will take to make this future a reality.
Speaker(s)
- Alexis Renaudin, Head of AgLabs, Artificial
Breakout sessions
11:40 am – 12:10 pm
Three parallel sponsor-led workshops (30-minutes each). These are hands-on, interactive sessions with technology demonstrations and practical takeaways.
Breakout 2A
11:40 am - 12:10 pm
Agentic underwriting: from AI experimentation to enterprise orchestration
AI is reshaping underwriting – but too many initiatives are still stuck in pilots, creating noise, duplication and limited impact. Meanwhile, rising risk complexity, market volatility and expectations for faster, more consistent decisions mean insurers can’t afford to wait.
This session with SEND explores the forces driving underwriting transformation today and what it takes to move from isolated AI use cases to real enterprise value. We will introduce the concept of an orchestration layer – enabling insurers to coordinate multiple AI agents across the end-to-end underwriting journey while maintaining control, governance and accountability.
You will gain a practical view of the Send Agentic Framework, including how insurers can build and deploy agents, unlock trusted automation and empower underwriters to focus on judgement, insight and portfolio performance.
The session will conclude with a live demonstration of an underwriting agent in production, showing how leading insurers are already building the future of autonomous underwriting.
Speaker(s)
- Dan Pass, CTO, SEND
- Lloyd Peters, Head of Revenue, SEND
Breakout 2B
11:40 am - 12:10 pm
Agentic AI and the future of customer trust in insurance
Drawing on insights from Capgemini’s latest World Property & Casualty Insurance Report, this session will explore how shifting customer expectations, evolving market dynamics, and advances in AI are reshaping the future of insurance. Against this backdrop, Gilles Talbot of Genesys and Shrinivas Shikhare of Capgemini will discuss how agentic AI is enabling organisations to move beyond traditional automation toward intelligent orchestration that can reason, act, and collaborate alongside employees in real time.
In an era of economic uncertainty, climate disruption, and rising customer expectations, insurers must deliver experiences that are fast, empathetic, and trustworthy. We will discuss how insurers can use AI to proactively identify customer needs, personalise engagement across channels, and empower employees with real-time guidance. Attendees will gain insight into how AI can strengthen resilience, improve operational agility, and build lasting customer trust during moments that matter most.
Key points:
- Insights from Capgemini’s latest World Property & Casualty Insurance Report and what they mean for insurers’ AI strategies
- Moving from automation to AI experience orchestration
- Delivering empathetic experiences at scale
- Empowering employees with AI-driven guidance
- Building trust through responsible AI and transparency
Speaker(s)
- Gilles Talbot, Insurance Director – EMEA, Genesys
- Shrinivas Shikhare , Insurance Business Architect, Capgemini
Breakout 2C
11:40 am - 12:10 pm
Beyond the pilot: what leading insurance firms are actually doing with AI
Most insurance firms know they need to move on AI. Few have figured out how to move fast. Pilots stall. Internal stakeholders can’t agree on where to start. Technology teams are overwhelmed with competing demands, and business lines are evaluating point solutions that don’t talk to each other. Meanwhile, the pressure to demonstrate ROI quickly to boards, to capacity providers, to investors makes experimentation feel like a luxury.
Underneath that, the structural challenges are real: fragmented legacy IT estates that were never designed for AI integration; data that lives in documents rather than systems; compliance and regulatory scrutiny that makes teams cautious about what they automate and how; and an organisational tendency to protect existing processes rather than reimagine them. The result is an industry that is acutely aware of what AI could do – and largely stuck at the starting line.
This session with V7 gives insurance professionals a clear-eyed view of where AI is actually being deployed in production – not in pilots, not in proofs of concept, but live, at scale, across underwriting, exposure management, claims and MGA operations. Attendees will leave with a concrete understanding of which workflows are being automated today, what the measurable impact looks like, and what it means competitively for firms that move – and those that don’t.
Speaker(s)
- John Somerset-Irving, Global Head of Insurance, V7
Plenary
12:15 pm – 3:15 pm
12:15 pm - 1:15 pm
Networking lunch & exhibition
1:15 pm - 2:00 pm
What leading insurers are actually building: three agentic AI case studies
The industry is full of pilots and proofs of concept. What it lacks is detail on what real commitment to agentic AI looks like: what was built, why, what changed commercially and what the team learned along the way.
Three insurance leaders, 15 minutes each. Two production deployments inside major carriers, processing real volumes and generating measurable commercial impact. Plus a new initiative using agentic AI to close insurance protection gaps across Europe, focused on expanding the addressable market rather than optimising the existing one.
Each presenter walks through:
- What they built (or are building) and why
- The commercial impact or opportunity
- What they learned and what they would do differently
If you are responsible for moving agentic AI from strategy into delivery, this is the session designed to give you practical detail to take back to your team.
Speaker(s)
- Alice Jin, Agentic & Generative AI Lead, AXA UK
- Amélie Breitburd, Board Member, CNP Assurances, Visa Europe & Founder, EuroDIEM
- Pieter Viljoen, Chief Data Officer, Allianz Partners
- Moderated by Robin Merttens, Executive Chairman, InsTech
2:00 pm - 2:30 pm
Operating it in the London Market: three practitioners on the practicalities
The strategic case for agentic AI is broadly accepted. The harder question is what it means in the day-to-day operations of a London Market business, where legacy systems, regulated processes and specialty risk create a different set of operational challenges to the rest of the industry.
Three London Market leaders – a large multi-line carrier, a Lloyd’s syndicate and a broker – share what enterprise-scale deployment actually requires.
The panel covers:
- How processes change when agents start handling multi-step decisions
- How to redraw roles when professionals supervise AI rather than do the work themselves
- How to manage adoption across teams that did not sign up for this when they joined
- How to govern autonomous systems when the regulator wants explainability and the auditors want a paper trail
- How to prove ROI when the original cost of doing business was never properly measured
Honest perspectives on what worked, what stalled and what they would do differently.
Speaker(s)
- Erdal Atakan, COO & CTO, Inigo
- Nick Williams-Walker, COO, McGill & Partners
- Moderated by Robin Merttens, Executive Chairman, InsTech
2:30 pm - 2:45 pm
Top agentic faces in Europe
Recognising five leaders doing the hardest work of the current phase: moving agentic AI into production and building the architectures that will let it scale. Selected for what they have shipped, not what they have pitched. Supported by Otera.
Hosted by Ian Thompson, Global Insurance and Claims Expert and Stefan Ramershoven, Co-Founder & Managing Director, Otera.
2:45 pm - 3:15 pm
Networking break
Breakout sessions
3:15 pm – 3:45 pm
Three parallel sponsor-led workshops (30-minutes each). These are hands-on, interactive sessions with technology demonstrations and practical takeaways.
Breakout 3A
3:15 pm - 3:45 pm
Safe Agentic AI in weeks: boost service and compliance without added risk
Agentic AI is powerful, but difficult to implement within the insurance industry’s strict regulatory environment, legacy systems and complex workflows.
In this breakout with Unitary, you will learn how to deploy Agentic AI in a matter of weeks—strengthening compliance and service without introducing additional risk. MGAs, brokers and insurance leaders will leave with a clear understanding of how to streamline operations into a scalable, reliable operating model while delivering improved service.
Speaker(s)
- Sasha Haco, CEO & Co-founder, Unitary
Breakout 3B
3:15 pm - 3:45 pm
The intelligence is only as good as the foundation
In this breakout, you will learn why most insurance AI pilots stall, and what the ones that don’t, have in common. The answer is almost always a foundation problem, not an agent problem. Every AI agent performing a commercial underwriting task is only as accurate as the product logic, appetite rules and underwriting guidelines it acts on. If those aren’t current, consistent and controlled by the insurer, faster automation simply means more wrong decisions, delivered quicker.
INSTANDA is that foundation: a no-code, insurer-controlled core system where product managers and underwriters define the commercial logic that AI acts on. Changes that used to take months take days. And on the roadmap: prompt-based configuration that makes the same changes in minutes. Kevin Gaut will demonstrate this live, connect it to the metrics that matter to a CFO — not a CTO, and show how the intelligence is only as good as the foundation it runs on.
Speaker(s)
- Kevin Gaut, Chief Technology Officer, INSTANDA
Breakout 3C
3:15 pm - 3:45 pm
Agentic AI execution of insurance operations
In this breakout with mea Platform, we will explore what happens when insurance operations are designed to run with AI as the execution layer.
This is a discussion about a different operating model—one where work is continuously executed, systems act in coordination and decisions are informed in real time. Capacity is no longer defined by team size, and performance is no longer constrained by how work moves through an organisation.
You will leave with a clear view of how leading insurance organisations are redesigning operations around AI execution – unlocking greater scale, sharper focus from their people and a level of operating performance that was not previously achievable.
Speaker(s)
- Graeme Asquith, UK Managing Director, mea Platform
- Max Richter, EMEA CEO & Global Growth Leader, mea Platform
Plenary
4:00 pm – 6:30 pm
4:00 pm - 4:20 pm
The technology frontier: live demonstrations
AI agents can now conceive, design and launch a business from scratch, in weeks, without a team. Not a proof of concept or a demo. A working product. The question this raises for every leader in the room is not just what AI can do, but whose ideas will define the next wave of businesses – humans, bots or both?
Two short demonstrations show where the frontier is heading. The first looks at how Arnaud Vincent used OpenClaw and open-source technology to build and launch a new financial product from scratch, autonomously.
The second addresses the challenge sitting underneath all of it. Every organisation deploying agentic AI faces the same problem: how do you keep autonomous decision-making transparent, accountable and audit-ready in production?
Together you will see:
- How AI agents can generate, design and execute a business concept without human input at each step
- What it means for insurers when the tools to build new products and businesses are available to anyone
- How to keep autonomous AI decision-making explainable and accountable in a regulated environment
- What this frontier capability means for the architecture and governance decisions you are making now
Speaker(s)
- Arnaud Vincent, Founder, Swiss6022
- Elena Maran, Founder, Alethesis AI
4:20 pm - 4:35 pm
What can we learn from banking?
Banking is roughly three years ahead of insurance in deploying AI at scale. JPMorgan Chase built one of the largest AI deployments in financial services. The person who founded and led that work spent years dealing with the questions insurance is now starting to ask.
Manuela Veloso shares:
- How to start embedding AI into a regulated business
- How to govern autonomous systems in production
- How to stop the things going wrong that you do not yet know can go wrong
- What the next major shift looks like – AI systems that govern other AI systems – and what that means for insurance operations
A short, high-density session for anyone who wants to know what is coming before it arrives.
Speaker(s)
- Manuela Veloso, Professor Emerita, Carnegie Mellon University, (Former Founder & head of JPMorganChase AI)
- Moderated by Simon Torrance, CEO & Founder, AI Risk
4:45 pm - 5:15 pm
The agentic insurer in 2030: how to get from here to there
What does the insurance industry look like in 2030, when operational capacity is no longer constrained by headcount and the work that used to define a junior career is increasingly handled by agents? And will we get there faster or slower than we think?
This panel takes the long view, extrapolating from what the most advanced deployments have already shown us. The big, practical questions:
- Do you employ the same people and what do their careers look like?
- Do you work with the same business partners or does AI change who you need?
- Do you need the same resourcing and where does the model break?
- Do you work with brokers in the same way or does AI-mediated placement change the relationship?
- What new business models become possible and which existing ones get challenged?
- Will it happen faster or slower than 2030 — and what should you be doing now to be ready either way?
The closing session of the day. Designed to send delegates home with a clear picture of what to build toward and what to do next.
Speaker(s)
- Ed Ackerman, Chief Operating Officer, Qover
- Amélie Breitburd, Board Member, CNP Assurances – Visa Europe
- Tjeerd Bosklopper, CEO, NN Group
- Moderated by Robin Merttens, Executive Chairman, InsTech
5:15 pm - 5:30 pm
Closing remarks
Robin Merttens and Simon Torrance synthesise the day, highlight the key takeaways from the room and set the agenda for the next 12 months.
- Robin Merttens, Executive Chairman, InsTech
- Simon Torrance, CEO & Founder, AI Risk
5:30 pm - 6:30 pm
Drinks reception & exhibition
6:30 pm
Event close
Speakers
Simon Torrance
Founder & CEO
Pieter Viljoen
Chief Data Officer
Ashok Krishnan
Chief Innovation, Data & Analytics Officer
Amélie Breitburd
Board Member
Gina Gill
Chief Information Officer
Erdal Atakan
COO & CTO
Alice Jin
Agentic & Generative AI Lead
Nick Williams-Walker
COO
Manuela Veloso
Professor Emerita
Tjeerd Bosklopper
CEO
Ed Ackerman
Chief Operating Officer
Kevin Gaut
Chief Technology Officer
Sasha Haco
CEO & Co-founder
Ian Thompson
Global Insurance and Claims Expert
Alexis Renaudin
Head of AgLabs
Elena Maran
Founder
Arnaud Vincent
Co-Founder & CEO
Max Richter
EMEA CEO & Global Growth Leader
Dan Pass
CTO
Graeme Asquith
UK Managing Director
John Somerset-Irving
Global Head of Insurance
Lloyd Peters
Head of Revenue
Gilles Talbot
Insurance Director – EMEA
Stefan Ramershoven
Co- Founder & Managing Director
Sponsors
AI Risk (Event Partner)
AI Risk advises leaders on how to leverage Agentic AI for competitive advantage. The firm helps insurers and other enterprises transform their business models with high impact AI strategies via it’s Agentic AI Accelerator. Its popular frameworks include: the ‘Agentic AI Maturity Model’, the ‘Agentic Stack’ (Advanced AI Enterprise Architecture for Insurance), the ‘Infinite AI Workforce’, the ‘Agentic Transformation Operating System’ and the ‘Agentic AI Enterprise Blueprint’.
Artificial
Artificial builds technology and software tools for commercial insurers and brokers. Artificial provides a cloud-based algorithmic underwriting platform, as well as applications that can be built on top of existing legacy systems or Artificial’s core system. These applications include data ingestion, risk triaging, contract builder and underwriting workbench.
Federato
Federato brings fully Agentic AI to specialty insurance across the full policy lifecycle; from triage to policy administration. From the moment a submission hits an underwriter’s email Federato puts AI to work, with agents triaging submissions with a focus on high-appetite business, rating the submission taking into account underwriting guidelines and product specification so the underwriter has a quote ready to go in 5 minutes. The platform also provides real-time feedback on the portfolio, consolidates workflows and third party data into a single system. Federato delivers the capabilities required to confidently drive profitable growth by providing underwriting teams with their portfolio goals, strategies, rules and appetite built into an AI native system through which they transact business.
Genesys
Capgemini and Genesys bring together two market leaders to help organisations transform customer experience into a measurable driver of business growth. Combining Genesys’ AI-native experience orchestration platform with Capgemini’s end-to-end transformation expertise, the partnership enables businesses to connect strategy, technology, data, and execution across the enterprise. Together, we help organisations move beyond fragmented interactions to deliver seamless, personalised experiences at scale. By aligning transformation strategy, platform innovation, and operational execution, Capgemini and Genesys accelerate time-to-value, simplify complexity, unlock operational efficiency, and enable organisations to scale AI adoption while driving customer loyalty, resilience, and long-term competitive advantage.
Instanda
INSTANDA provides customisable policy administration systems to insurers, MGAs and brokers. Clients use the no-code UI (User Interface) to design, build, launch and manage their product portfolios. Its no-code product design and build tool is built on a set of insurance-specific calculations, processing and workflow capabilities. Clients can also access INSTANDA’s ecosystem of partners to bring additional capabilities to their insurance portfolio.
INSTANDA’s products can be integrated into existing legacy systems as the company has a modern, open API framework. INSTANDA works with over 80 clients globally in all product lines and major geographies.
mea platform
mea delivers AI directly into (re)insurance operations with tech that just works — not as a pilot, but in production. Built specifically for insurance, mea supports broking, underwriting, claims and finance workflows. As the industry leader in insurance specific AI, global tier 1 insurers, brokers and MGAs use mea to process business faster, reduce manual effort and improve outcomes across operations, with workflows already running at scale, processing $250bn in transactions across 20+ countries.
Otera
Otera (previously DeepOpinion) is the agentic automation platform powering the world’s largest agentic transformations, delivering 90%+ autonomous processing and $100M+ ROI in regulated, mission-critical operations.
Deployed as a non-disruptive intelligence layer over existing systems, Otera’s proprietary multi-agent architecture enables end-to-end autonomy with enterprise-grade security and control. Trusted by global leaders including Allianz, Siemens, Bayer, SAAB and Hannover Re.
Send
Send is the leading insurance platform, trusted by world-class insurers to navigate complex risks. More than just an underwriting tool, the platform orchestrates people, data, AI and processes to streamline underwriting operations from submission to bind and beyond. Send combines the science and art of underwriting to help insurers write profitable business faster and with greater confidence. With a growing presence globally, Send is helping MGAs and re/insurers address today’s most complex underwriting challenges with clarity and control.
Unitary
Unitary helps companies automate manual work with zero engineering effort, process changes or upfront costs. Unitary’s Virtual Agents are robust AI agents that work directly in your tools, logging in and navigating systems like a human, eliminating the need for complex integrations. The agents learn your workflows, apply advanced reasoning and seamlessly escalate to human experts when needed, delivering human-level accuracy on every decision. Unitary partner with brokers, MGAs and insurance carriers to give time back to their teams, control costs and build the foundation for scalable growth without additional headcount.
V7
V7 operationalises AI technology for insurance businesses. Its reasoning engine enables users to automate processes with foundation models that interrogate, augment, and transform data across documents, images and videos. It has pre-configured templates for submission ingestion, claims processing, SOVs, engineering reports, bordereaux and more. Its mission is to automate the most complex tasks, reliably and at scale.
Media Partners
Insurance Insider
Insurance Insider is the specialist publication for the global (re)insurance market, covering the news, deals and strategic shifts that matter to carriers, brokers, MGAs and capital providers. Known for breaking market-moving stories and deep analytical coverage across Lloyd’s, London and international markets, Insurance Insider is read by senior underwriters, executives and investors who need to understand where the market is going and why.
Registration
Organisations that are Corporate Members are eligible for a discounted rate. To find out if your organisation is a corporate member, please visit the members page.
How to apply discounts
When registering three or more delegates, select the number of passes on the “Additional People” page. A discount code will be shown automatically on the payments page — just enter it to apply your savings.
For any assistance, please contact us at [email protected]
Insurers, Brokers and MGAs (InsTech Corporate Members)
£250
+VAT
Insurers, brokers and MGAs who are InsTech Corporate Members.
Insurers, Brokers, MGAs
£350
+ VAT.
Insurers, brokers and MGAs who are not InsTech Corporate Members.
InsTech Corporate Members (All other sectors)
£350
+ VAT.
InsTech Corporate Members from all other sectors (technology, data, consulting, etc.)
All other sectors
£750
+ VAT.
All other companies without InsTech membership.
