Instech London Podcast

Introduction  In this episode, Matthew Grant speaks with Rachel Delhaise, Chief Sustainability Officer at Convex, about what climate sustainability really looks like inside a modern insurance business.  While attention may have shifted elsewhere, the underlying challenges have not gone away. Rachel offers a clear view of how insurers are continuing to respond through underwriting decisions, risk modelling and long-term investment thinking.  Rachel joined Convex in the early stages of the business to build its sustainability approach from the ground up. Her role spans three core areas: identifying opportunities in the transition, strengthening how climate risk is understood and managed and supporting cutting-edge carbon science research. Together, these reflect a broader shift in how insurers are positioning themselves as active participants in enabling change.  The conversation explores how insurance is supporting emerging technologies such as carbon capture and storage, where underwriting plays a critical ro

In this episode, Robin Merttens speaks with Sasha Haco, CEO and Co-founder of Unitary, about how AI is being applied in practical, high-impact ways across insurance operations.  Sasha’s route into the industry is far from typical. With a background in astrophysics and no prior experience in insurance, she set out to build something tangible using AI, focusing on real-world problems rather than theoretical ones.  What began as a mission to make the internet safer has evolved into a fast-growing platform that automates some of the most manual and time-consuming processes in insurance. From bordereaux handling to claims and policy administration, the focus is on removing repetitive work without requiring insurers to overhaul their existing systems.  Drawing on her experience building Unitary from the ground up, Sasha shares a clear and practical perspective on where AI is delivering value today, how insurers can get started quickly and what it takes to stand out in an increasingly competitive market.  At the hea

In this episode, Matthew Grant and Robin Merttens hit the 400-episode mark and ask a slightly uncomfortable question: after all these conversations, are we still human or just very convincing AI?  What follows is a sharp, unscripted reflection on how the industry has evolved from early insurtech scepticism to today’s surge of enthusiasm around generative AI. But beneath the milestone moment is a more interesting story, how insurance has shifted from resisting technology to almost over-embracing it, and what happens next when the tools are no longer the problem.  Drawing on years at the centre of the market’s innovation community, Matthew and Robin explore the move from experimentation to execution, why “grown-up AI” is now the real challenge and where genuine commercial value is starting to emerge.     In this conversation, Matthew and Robin share:  Why the industry has gone from fighting technology to actively chasing it  What “grown-up AI” really means and why governance and orchestration now matter more t

In this episode, Robin Merttens is joined by Martha Dreiling, Co-founder and President of Reserv, to explore how AI is actually transforming claims, and why the biggest breakthroughs are happening in places most people overlook.  With a background spanning FinTech, InsurTech and risk analytics, Martha brings a practical perspective on how data and technology can improve decision-making, not just automate existing processes. At Reserv, she’s helping build a claims model that combines operational efficiency with quality, while challenging long-standing assumptions about how claims should be handled and paid for.  In this conversation, Martha shares:  Why the most valuable AI in claims is “boring but brilliant”, not flashy   How continuous monitoring is quietly improving claims outcomes at scale   Why efficiency alone is no longer enough, and what it takes to deliver quality alongside it   How claims data is becoming a critical input into underwriting and pricing decisions   The challenge of legacy systems and

In this episode, Matthew Grant is joined by Richard Louden, Partner (Indirect Tax Financial Services) at KPMG, and Candy Staples, Director (Innovation Reliefs and Incentives), to explore a topic that many insurance and InsurTech businesses underestimate until it becomes expensive: tax.  While tax is often viewed as a back-office concern for finance teams, it can have a significant strategic impact on how insurance businesses operate, scale and ultimately exit. From the complexities of VAT and Insurance Premium Tax (IPT) to the opportunities created by R&D tax incentives and the Patent Box regime, the conversation highlights both the risks of getting tax wrong and the upside of approaching it proactively.  Richard brings more than two decades of experience advising insurers and intermediaries on indirect tax. He explains why VAT behaves differently in insurance compared with most industries, and why misunderstandings around exemptions, commissions and international services regularly create costly problems

In this episode, Robin Merttens moderates a panel with Tessa Wardle of QBE, Emily Stanford of Gallagher and Jonathan Spry of Envelop Risk, recorded live at the InsTech London event Some lead, others follow: Smart underwriting and broking strategies for 2026.  As algorithmic underwriting and portfolio solutions reshape the London Market, insurers, brokers and reinsurers are rethinking how risk is placed, followed and managed at scale. Facilities are multiplying, digital trading models are emerging and data is becoming the foundation of increasingly automated underwriting decisions.  Drawing on perspectives from underwriting, broking and reinsurance, the panel explores what portfolio underwriting really looks like in practice today. They discuss how facilities are evolving, why broker strategies are changing and what it takes to run sustainable portfolio capacity in a market that is becoming more digital and more data-driven.   At the centre of the discussion is a growing tension between ambition and infrastruc

In this episode, Matthew Grant sits down with Nicola Turner and Alex Ley, co-founders of Scrub AI, to explore one of the most pressing strategic questions facing insurers today: Build vs Buy in the age of generative AI.  Five years into building an AI-driven data cleansing platform for carriers and brokers, Nicola and Alex have seen the market shift from scepticism to urgency. Boardrooms are now asking how AI is being embedded into underwriting workflows, and whether those capabilities should be developed internally or sourced from specialists.  Drawing on their experience building deterministic AI models for exposure data and catastrophe modelling, they offer a grounded perspective on what works, what breaks and where the real risks sit.  At the heart of the discussion is a simple truth: getting to 80% is easy. Getting the final 20% right is where strategy, domain expertise and long-term thinking matter most.  In this conversation, Nicola and Alex share:  Why Build vs Buy has intensified as generative AI mo

In this episode, Robin Merttens sits down with Frank Perkins, CEO and Co-founder of inari, to explore what it really takes to build and scale a modern MGA in 2026.  From founding an insurance business himself to leading a technology company serving specialist MGAs across Europe, Frank brings a rare dual perspective. He understands both the pressure of getting premium through the door and the responsibility of building systems that underwriters actually want to use.  As private equity capital accelerates into the sector and niche, digital-first MGAs proliferate across continental Europe, the conversation turns to speed, integration and the quiet evolution of the underwriting workbench.  In this conversation, Frank shares:  Why technology literacy is now firmly in the hands of business users, not just IT departments  How the rise of highly specialised MGAs is reshaping what underwriting platforms need to deliver  Why “rip and replace” transformation programmes are giving way to orchestration and coexistence  H

In this episode, we bring you a live panel from InsTech’s May event at CodeNode, exploring how automation is reshaping claims in the Lloyd’s and London market — and why the belief that specialty is too complex to automate no longer stands.  Moderated by Matthew Grant, CEO of InsTech, the panel features Simon White, Chief Claims Officer at Apollo, Aidan O’Neill, Founder and CEO of DOCOsoft, and Zoe Woods, Claims Improvement Manager at Lloyd’s.  Specialty claims have long been viewed as too bespoke, too nuanced and too reliant on human judgement for automation to play a meaningful role. But as underwriting becomes algorithmic and distribution turns digital, claims can no longer lag behind.  This conversation moves beyond theory to evidence. Automation is already embedded in live workflows across the market. The firms adopting early are seeing measurable operational gains.  In this conversation, they share:  Why the myth that specialty claims cannot be automated is finally breaking down  How Apollo processed mo

What actually makes automated and enhanced underwriting work in practice?  In this episode, three early movers in automated underwriting share hard-earned lessons from building digital underwriting propositions that have survived real market cycles. Rather than theory or hype, this conversation digs into where technology genuinely creates advantage, where it does not, and how underwriting judgement remains central even in highly algorithmic models.  Drawing on experience across cyber, US property and digital facilities, the panel explores why complexity, not commoditisation, is often where automation delivers the greatest edge. From AI-driven cyber underwriting to high-cat surplus lines property and digitally distributed specialty products, each speaker explains how they chose their focus and what they learned along the way.  Key themes include the role of data discipline in sustaining AI-led underwriting, why platform design matters more than speed to market, and how underwriters’ roles are shifting from gen

What happens when AI meets the backbone of the insurance industry - policy administration systems? In this episode, Liselotte Munk, CEO of Fadata, joins Robin Merttens to unpack how artificial intelligence is reshaping the software layer of insurance.  With candid insights into Fadata’s AI strategy, Liselotte reveals how the company is using AI to accelerate software development and reduce implementation costs while improving quality. She tackles the big question: will AI make policy admin systems obsolete? Her answer offers a pragmatic view on cost, complexity, compliance and collaboration.  In this conversation, Liselotte shares:  How AI is already streamlining configuration, documentation and testing in core systems Why the true opportunity lies in faster implementations and reduced transformation costs How the role of developers is shifting, and what this means for insurance talent Why insurers should invest in AI to enhance - not replace - their core platforms What the smartest insurers are doing now to

In this episode, Robin Merttens is joined by Tobi Schneider, Sector Engagement Lead for Financial Services & FinTech at the Edinburgh Futures Institute, to unpack one of the most ambitious research initiatives currently shaping the future of AI risk in insurance. Backed by UKRI and developed in collaboration with AXA Group and three leading universities, the project aims to build a foundational blueprint for how insurers can understand, audit and underwrite emerging AI risks.  Tobi shares why the shift from traditional to generative and agentic AI has outpaced current risk frameworks, leaving insurers exposed to risks that are poorly defined, difficult to monitor and impossible to price using historic loss data. He explains how his team is exploring dynamic underwriting models, parametric solutions and novel assurance techniques like LLM-based judges and automated red teaming, all with the goal of enabling safer, more accountable AI adoption.  Ahead of the Agentic AI Half Day event, hosted in collaboratio

This week we bring you an episode of Bootstrap Confidential featuring InsTech’s very own CEO, Matthew Grant, who joined Charles Green in the latter half of 2025 to reflect on the eight-year journey of building InsTech from the ground up without outside funding, and with an intentional focus on sustainable growth.  Matthew’s route to growing InsTech wasn’t typical. With a background in risk, analytics and around 400 podcast episodes as a host, he brought a deep understanding of the insurance sector and what it takes to build a commercially viable, insight-led business. The result? A thriving community of over 30,000, a high-margin membership model and a successful exit achieved through discipline, focus and clear-eyed decisions.  In this conversation, Matthew shares:  Why he sees bootstrapping as risk management, not risk taking The importance of paying yourself from day one and how that shaped InsTech’s trajectory Lessons from testing (and killing) products that didn’t deliver Why hiring curious, early-care

In this episode, Robin Merttens is joined by Andy Yeoman, CEO of Concirrus, to unpack how a key player in marine insurance tech has reinvented itself as a core platform provider for the specialty market, and what that transformation says about where the industry is heading.  Andy shares the thinking behind Concirrus’ pivot from ship tracking to full risk lifecycle processing, what it takes to build end-to-end technology in just 18 months, and why underwriters, not just CTOs, are now leading the charge on system change.  In this conversation, Andy shares:  Why marine was just the beginning and why modern platforms must serve multiple lines with depth, not just breadth  What today’s insurers really want from core systems: speed, interoperability and business outcomes  How Concirrus became an AI-first company and what that’s meant for product delivery, talent and culture  The rise of the tech-fuelled MGA and why they’re now the “risk entrepreneurs” to watch  How verticalised platforms are winning over underwrit

How can AI weather models improve the accuracy and scale of catastrophe modelling? Matthew Grant is joined by David Wood, Managing Director at JBA Risk Management, and Jochen Papenbrock, Head of Financial Technology (EMEA) at NVIDIA, to explore how accelerated computing is unlocking new ways to simulate and manage flood risk. JBA has long been a pioneer in flood modelling, while NVIDIA’s GPU technology has helped drive the recent breakthroughs in AI and generative modelling. Together, they discuss how high-resolution simulations, new ensemble methods and open-source tools are pushing the limits of what’s possible in climate and catastrophe analytics. Key Talking Points: The early bet – how JBA’s adoption of GPU computing over a decade ago made national-scale flood mapping possible From gaming to GenAI – how NVIDIA's evolution from graphics to AI led to the development of physics-informed weather models Ensemble power – why running 1,000+ simulations helps capture more extremes than the historic record ever c

In this episode, Robin Merttens is joined by Dr Thomas Kuhnt (HDI Global SE), Ed Ackerman (Qover) and Vincent De Ponthaud (AXA) for a rare C-suite perspective on Agentic AI — what it is, how it's being deployed and why senior leaders are walking a tightrope between bold innovation and operational risk. Agentic AI promises transformative value, but for decision-makers at the top, it also brings real uncertainty. What do you build vs. buy? How do you prove ROI? And how do you prevent over-trusting agents that are inherently probabilistic? In this conversation, Thomas, Ed and Vincent share: Why Agentic AI is different from past tech trends and why this one feels real The cultural and leadership challenge of balancing excitement with governance How AXA and HDI are enabling safe experimentation at scale across complex organisations How Qover is building 20+ AI agents to automate claims micro-tasks — and when they build vs. buy What customers really think about AI agents  and why nearly none opt out The risks of s

In this episode, Claire Souch is joined by Tom Philp, CEO of Maximum Information; James Lay, AVP of Product Management at Verisk; and Stephen Martin, Head of Catastrophe Modelling at Westfield Specialty, for a timely discussion on the future of catastrophe model evaluation, and why it's no longer enough to simply trust what’s in the black box. As new specialist model vendors emerge and market expectations evolve, the panel unpacks a growing demand for transparency, interoperability and smarter ways to adopt models that fit real-world portfolios. At the heart of the conversation is a shared belief: the industry doesn’t just need more models, it needs better ways to evaluate and use them. In this conversation, they explore: Why traditional model validation no longer meets the needs of modern risk teams The shift from 'black box' outputs to meaningful model evaluation that supports business decisions How tools from Maximum Information and Verisk’s Model Exchange reduce the burden on small or lean teams The role

In this episode, Brian Owens is joined by Dana Foley (Head of Catastrophe Research at Chaucer), Joss Matthewman (Chief Revenue Officer at Reask) and Olivia Sloan (Head of Catastrophe Products at Fathom) to explore the growing influence of specialist model vendors in catastrophe risk modelling and why they’re anything but “niche”. With decades of combined experience across underwriting, model development and scientific research, the panel discusses how climate change, regulatory pressure and the need for portfolio-specific insight are pushing insurers to reconsider single-platform dependency. They explore how new vendors are filling gaps left by traditional models offering science-led, transparent and highly customisable solutions tailored to specific business needs. Drawing on their respective roles across the risk ecosystem, the panellists explain why the return to multi-modelling is gaining momentum and how platforms like Oasis are helping democratise access to emerging tools. In this conversation, the pane

Introduction In this episode, Robin Merttens is joined by Jack Miller, CEO and Co-founder of nettle, to explore how generative AI is being applied to one of insurance’s most complex and resource-constrained challenges: risk engineering. Jack shares how his work at McKinsey, leading AI transformations for insurers, exposed him to the inefficiencies in assessing commercial property risks and how that inspired Nettle’s founding. From mass retirements of risk engineers to the reality that most properties are never physically assessed, Jack outlines why the status quo is unsustainable and how AI can help underwriters make faster, more informed decisions without sacrificing depth or judgement. He explains how nettle is already working with insurers like Allianz to roll out configurable, production-ready tools that reduce manual burden, unlock previously inaccessible insights and integrate directly into existing underwriting platforms. In this conversation, Jack shares: Why risk engineering is facing a capacity cru

In this episode, Richard Gunn, President & CRO at hyperexponential, joins host Matthew Grant to share the inside story of hyperexponential's expansion journey from the UK to the US, and how the company is reshaping pricing and underwriting in the insurance sector. Richard reflects on seven years at hyperexponential, starting as the first non-engineering hire to now leading a fast-growing US team in New York. He explains how hyperexponential has evolved from a pricing platform into a broader decision infrastructure provider, with tools spanning triage, portfolio intelligence and AI-powered underwriting support. In this conversation, Richard shares: Why hx's "pro-code" platform sits between build vs buy, offering flexibility without compromising enterprise-grade credibility How the team landed major US clients before even setting up a US office The strategic lessons behind building trust with US insurers, from culture to communication The practical impact of generative AI and "vibe coding" in hx's product