Scouting for Growth

From Org Charts to Work Charts: What the MIT Frontier Firm Paper Means for Insurance, Finance & Risk   In this episode of Scouting for Growth, Sabine VanderLinden explores a 2026 research paper from MIT CISR on how business models are evolving in the age of agentic AI. Drawing on longitudinal data from nearly 2,400 companies, the research highlights a major shift from traditional digital business models toward AI-driven ones. Sabine explains how earlier models, such as supplier, omnichannel, modular producer, and ecosystem driver, have now evolved into four new archetypes: existing plus, customer proxy, modular creator, and orchestrator.   She emphasizes that most financial institutions and insurers remain stuck in incremental “existing plus” adaptations, while the real competitive advantage lies in becoming orchestrators that dynamically coordinate ecosystems to deliver customer outcomes. Using her “frontier insurer matrix,” Sabine illustrates how firms can move from rigid, process-driven structures to adaptive, AI-enabled ecosystems.   The episode also examines the implications for finance and risk management, highlighting the importance of real-time decision-making, AI governance, and human-AI collaboration. Sabine concludes with five practical imperatives for leaders, stressing that this transformation is not just about adopting AI, but fundamentally rethinking how value is created, delivered, and captured in a rapidly changing landscape.   KEY TAKEAWAYS   What stood out to me most from the MIT CISR research is that we are not simply witnessing a technology shift. We are seeing a fundamental redesign of business models. Too many organizations are still treating AI as an incremental improvement when, in reality, the opportunity lies in rethinking how value is created and delivered. Moving from “existing plus” to orchestrator requires a mindset shift as much as a technical one.   I also see a clear gap between where most insurers and financial institutions operate today and where they need to be. Legacy systems, rigid processes, and siloed structures limit their ability to scale and respond dynamically. The firms that will lead are those that embrace modularity, ecosystem thinking, and API-first architectures, allowing AI agents to operate at speed and scale.   Another critical insight is the evolving role of humans. AI can handle routine processes, but trust, empathy, and judgment remain uniquely human strengths. Designing the right human-to-agent ratio for each task will be essential, particularly in high-stakes scenarios.   Finally, governance becomes a design challenge rather than just a control function. Risk leaders must define guardrails upfront, shaping how AI operates rather than reacting to its outputs. This is a shift from oversight to architecture. Ultimately, the organizations that succeed will be those that ask not how to use AI, but what new value they can create for customers because of it.   BEST MOMENTS   “This is not a technology gap, it is a business model gap.”   “Scale your ecosystem or get out, or you will be competed by someone who does.”   “The frontier insurer doesn’t just pay the claim, it prevents the loss and manages the recovery.”   “Risk management has to move upstream from auditor to architect.”   “This is not a technology story, this is a purpose story.”   “The real question is not how do we add AI, but what can we now do that was impossible before?”   ABOUT THE HOST   Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courag

The Risk Intelligence Gap: How Exposure Data Deficiency Is Reshaping Property Underwriting   In this episode of Scouting for Growth, Sabine VanderLinden is joined by Anthony Peake, CEO of Intelligent AI, to dissect the "Risk Intelligence Gap" reshaping the property insurance landscape.    With 93% of UK and 90% of US commercial properties insured for the wrong amount, the discussion reveals why the industry’s vast data resources are failing to reach underwriters in a form that is actionable and trustworthy.    Sabine VanderLinden and Anthony Peake delve into their co-authored research, examining the architectural, integration, and trust challenges at the heart of this crisis and exploring how API-first, verifiable risk intelligence is redefining underwriting. The episode is packed with real-world examples and actionable insights into how the property underwriting process must evolve from reactive data chasing to predictive, cognitive risk management.   KEY TAKEAWAYS   The scale of the risk intelligence gap in commercial property underwriting today is both alarming and transformative. We’re not suffering from a lack of data; instead, we’re hindered by fragmented architectures, poor integration, and a deep-rooted trust problem that leaves underwriters rating their data confidence at just three to five out of ten at the critical point of decision. This results in billions in unrecognized exposure and inefficient operational drag, with underwriters losing up to 55% of their day to tedious data gathering instead of strategic decision-making.   Our findings underscore that technology alone is not the cure. While AI decision engines and sophisticated catastrophe models abound, their potential is constrained by the quality of the data that feeds them. The true opportunity is to build verified, explainable, and decision-grade risk intelligence, delivered directly into workflows through uniform APIs. The advent of digital twins for properties and real-time data integration equips underwriters with a 360-degree risk view, trimming inefficiencies, mitigating underinsurance, and creating a platform for predictive and preventive underwriting.   Trust and explainability remain essential: underwriters will not act on data they cannot understand or audit—and they shouldn’t have to. Only those insurers who move decisively from asserted to verified data, and from periodic snapshots to continuous monitoring, will achieve sustainable underwriting profit and own the best risk. The time to tackle this structural data problem is now.   BEST MOMENTS   "This is better engines running on worse fuel." — Sabine VanderLinden   "The client pays for being underinsured—until regulators say the insurer must take responsibility." — Anthony Peake   "We can create a model of all the data a risk engineer might manually collect—but do it very quickly and accurately." — Anthony Peake   "People are making not million dollar decisions, but billion dollar decisions on thousand dollar data." — Sabine VanderLinden   "The real question isn't whether data matters. The question is who will move first from asserted data to verified intelligence, from reactive pricing to predictive underwriting." — Sabine VanderLinden   ABOUT THE GUEST   Anthony Peake is CEO of Intelligent AI, a pioneering property risk intelligence platform dedicated to real-time, API-first delivery of structured, verifiable property data for insurers, reinsurers, brokers, and MGAs. With over three decades of experience leading projects at global enterprises such as Apple, GE, BT, and Oracle, Anthony Peake has deep expertise in large-scale data architecture and risk system implementation, including for six of the top ten UK insurers.    Through his leadership and collaboration with institutions such as Lloyd’s Lab, Anthony Peake drives innovation that bridges the gap between raw data and actionable underwriting insights, supporting both the UK and US markets in their transition toward predictive,

Trust Is the Operating System of the Agentic Enterprise   In this episode, Sabine VanderLinden is joined by Franklin Manchester, Global Insurance Strategic Advisor at SAS, and Steven Abel, Global Technology Partner and Deputy Global Head of AI & Transformation at Oliver Wyman. Together, they unpack the concept of "trust by design" in the context of agentic enterprises and AI adoption.    The conversation pivots from traditional risk frameworks and compliance-based approaches to trust, to the urgent need for architectural and cultural transformations in which trust is embedded in every system and decision. They explore why organisations often confuse expanding AI tools with genuine readiness for autonomy, discuss why "human in the loop" is no longer sufficient, and offer perspectives on scaling trust, managing risk, and redefining organisational roles.    The trio debates actionable leadership moves for CEOs and boards, the evolving skills for insurance professionals, and how the frontier firm of the future will distinguish itself through intentional trust-building—not just AI deployment.   KEY TAKEAWAYS   Many organisations treat AI trust as a compliance issue, which hinders safe scaling. The fundamental shift involves deploying autonomous decision-makers, making trust by design an architectural and leadership mandate.   We, as an industry, over-invest in AI models and technology while under-investing in people and trust. Simply using more models or data doesn't guarantee higher trust, especially without architectures built for transparency and governance. Franklin noted a disconnect where insurers use AI but lack trustworthy systems, surprisingly favouring newer generative AI over established machine learning.   I question the efficacy of "human in the loop" controls in high-stakes industries, while Steven advocates embedded, infrastructure-level trust solutions. Franklin identified processes as primary failure points, particularly when tacit knowledge is overlooked (citing Cigna's mass claim denials).   The discussion explores the need for new AI risk and governance roles, akin to past actuarial practices. While human-centricity should drive design, scalability is challenging as organisations move toward agentic systems in which humans supervise, rather than directly control, risking brand integrity if governance fails.   For leaders, I urge you to shift focus from technology hype to foundational trust. Steven prioritises "under the water" capabilities, such as risk and regulatory expertise. Franklin recommends three people-centric actions: embracing new skills, breaking data silos, and protecting the brand.   The truly future-ready firm embeds trust into every decision system—a practice rooted in culture, governance, and leadership, not just technology. Scaling AI without trust is merely scaling risk; organisations must engineer trust as a core operating principle.   BEST MOMENTS   "Trust isn't what you say, it is what your system does." — Sabine VanderLinden   "The architecture of these models themselves don’t lend themselves to a high trust environment." — Steven Abel   "We trust generative AI 200% more than machine learning. Which is bonkers to me because machine learning has been around for like 30 years." — Franklin Manchester   “There’s still no more sophisticated sensor than a human being and a more powerful computer than the human brain.” — Franklin Manchester   “Auditability, transparency, and a connection with the human ecosystem and judgment—these things are non-negotiable.” — Steven Abel   "It is clear that the adoption is moving fast, and we need to make sure within regulated industry that we apply trust in everything we do. Otherwise, we are going to shun both customers." — Sabine VanderLinden   ABOUT THE GUEST   Franklin Manchester Prior to joining SAS, Franklin served as a Global Insurance Strategic Advisor at SAS Institute, bringing over 20 years of experience in insurance underwriting and a

In this riveting solo episode, Sabine VanderLinden confronts what she calls "the capacity gap"—a silent barrier that undermines organizational success in today's complex business landscape. Rather than blaming common culprits like strategy, leadership, or talent, she reframes the issue as a structural mismatch between ambitious goals and the finite resources available to deliver on them.    Drawing from her extensive experience in the insurance sector and referencing compelling case studies from companies like Ping An and Nestlé, Sabine VanderLinden unpacks the math behind the capacity gap and lays out a practical five-step playbook to help leaders bridge it and thrive in the era of AI-driven transformation.   Key Takeaways Reflecting on the capacity gap, it becomes clear to me that most organizations are not failing due to weak ideas or a lack of vision, but because they are unable to match their strategic ambitions to their actual capacity to implement them. The sheer pace of technological change, combined with heightened expectations around innovation, puts immense pressure on existing operating models, especially in sectors like insurance.    The essential insight I share is that companies will win not by having the grandest vision, but by developing the operational elasticity to close the capacity gap faster than competitors. This requires a rigorous assessment of current delivery abilities, a relentless focus on throughput, leveraging external partners as capacity multipliers, and embedding elasticity into both technology and workforce design.   Most crucially, making capacity a leadership and board-level metric shifts the organization from admiring problems to solving them. As I explore in the episode, frontier firms show us what’s possible when capacity is managed as a dynamic asset rather than a limiting factor. The future belongs to those who can execute, not just strategize.   Best Moments   "What if the single greatest obstacle to your company's future success isn't the competition, a lack of budget, or even the speed of technological change—but a silent thief of momentum that lives in the space between your boardroom's bold vision and your team's daily reality?"   "It is not a people problem. It is a math problem, a fundamental mismatch between the infinite demands of strategic ambition and the finite capacity of your organization to execute."   "The winners will not be the companies with the most visionary strategies. They will be the companies with the smallest capacity gap."   "Frontier firms are not just managing capacity; they are weaponizing it."   "Closing the capacity gap is not about asking your teams to work harder. It is about redesigning the work itself."   ABOUT THE HOST   Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet.   If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights.   And if you’re interested in sponsoring the podcast, reach out to the team at [email protected]  

In this episode of "Scouting for Growth," Sabine VanderLinden welcomes Florian Graillot, founding partner at Astorya VC, for an in-depth conversation about the evolving landscape of risk management and insurance innovation. The discussion explores how risk management is shifting from static predictions to adaptive strategies designed for tomorrow's uncertainties, emphasizing the rise of the “frontier firm”—organizations that continuously learn, adapt, and act in real time.   Florian Graillot shares insights from his experience investing across insurtech, cyber, climate risk, and financial fraud, highlighting the increasing importance of technology, data, and AI.    Together, Sabine VanderLinden and Florian Graillot discuss the structural advantages Europe may hold in building AI-native, trust-driven business models and the critical role of agent-human collaboration in future risk management. They address the challenges faced by incumbents—including talent acquisition, cost efficiency, and profitable growth—and consider what distinguishes great founders in the frontier firm era.   KEY TAKEAWAYS   This episode underlines that risk management is no longer about controlling yesterday’s uncertainties but engineering resilience for tomorrow. I was struck by Florian Graillot's argument that insurance leaders must rethink the entire risk value chain—not just the insurance segment—but encompassing prevention, risk assessment, capital efficiency, and claims. Simply layering AI onto legacy workflows isn’t enough; true transformation requires intention, an openness to external partnerships, and a clear ROI focus.   It’s clear to me that embracing AI isn’t “optional practice"—it’s existential. Organizations that experiment vigorously and collaborate with tech-first ventures gain a competitive edge, especially as emerging risks outpace traditional data models. Europe’s more measured regulatory approach, sometimes critiqued as cautious, actually presents an opportunity to build trust-by-design, ensuring AI is explainable and aligned with both ethics and end-customer value.   Ultimately, the essence of any successful frontier firm lies in clarity of vision, a readiness for real change, and a focus on trust between leaders, employees, and customers. As the industry shifts, those who can articulate and measure technology’s value, while empowering agent-human teams, will undoubtedly shape the risk landscape of the future.   BEST MOMENTS   "Risk management is no longer about predicting yesterday's risk. It is about designing for tomorrow's uncertainty."    "Either you consider emerging risks as a threat and retreat from the market, or you leverage technology to build resilience. That resilience is the optimistic side of the challenge."    "The perfect founding team is a blend of technology expertise and deep industry knowledge—you need both to create real value in insurance."    "If you expect big figures tomorrow morning, it will not work... But if you are ready to take more time and invest accordingly, innovation can deliver real and very nice results."    "In the end, technology doesn’t remove risk. It actually reveals our choices."    ABOUT THE GUEST   Florian Graillot is the co-founder and founding partner at Astorya VC, one of Europe’s most influential venture capital firms focused on early-stage insurtech, risk, and regulatory technology.    With 15 years of tech investing experience—ten of them specializing in insurtech—Florian Graillot has an unparalleled vantage point on the evolution of the insurance and risk landscape. He is passionate about backing founders who are redefining resilience, tackling climate, cyber, and financial fraud with cutting-edge data and algorithms, and reshaping how risk is owned and governed across enterprises.   ABOUT THE HOST   Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt