Written by Sabine VanderLinden

What if a global insurer could deploy a cutting-edge extreme weather resilience solution across the enterprise in months – not years – while fully complying with strict procurement and security requirements?

What if a cybersecurity startup’s AI tool could protect millions of customers, with the insurer as a paying client from day one, rather than getting stuck in endless proof-of-concept trials? For many Chief Digital, Innovation, or Transformation Officers—and the tech founders they partner with—these scenarios are no longer far-fetched dreams. Insurers today face complex problems that often exceed the capabilities of their internal resources, making it difficult to address strategic technology gaps with traditional products and to sustain innovation.

They’re the promise of the venture client model, an emerging approach that transforms how Fortune 500 firms and scaleups collaborate to tackle new risks. It bridges the chasm between innovation theater (all those pilots that never scale) and real business impact, all while respecting the enterprise’s compliance and procurement constraints.

In this article, we'll explore why the venture client model is gaining traction in insurance and financial services, particularly in emerging risk innovation areas such as climate resilience, cybersecurity, longevity, and AI ethics. We’ll examine why this model is necessary at present, noting that relying solely on internal research and development is often too slow and resource-intensive to keep up with emerging risks. We’ll also discuss how process innovations are required to meet new compliance and operational demands.

Finally, we’ll look at how the venture client model operates (utilizing frameworks such as the DIVAAA process and a six-lever checklist for success), and how companies like Zurich, Munich Re, BBVA, Roche, and others are utilizing it to accelerate the transition from pilot to scale and close the execution gap in corporate-startup partnerships.

Why Now? The Case for a New Innovation Model

Today's risk landscape is evolving faster than ever, putting pressure on insurers and their partners to innovate and to do so at scale. Why now? Several converging trends underscore the urgency: emerging risks, such as climate change and advanced cyber threats, require new data-intensive solutions for accurate assessment and pricing.

• Escalating Climate and Disaster Losses: Catastrophe losses are surging amid the impacts of climate change. 2023 alone saw $250 billion in global disaster losses. Yet only about one-third of those losses were insured, leaving a huge protection gap. Insurers are expected to help close this gap, but traditional products and slow innovation can't keep up. The industry needs new climate-resilience solutions now to manage floods, wildfires, and extreme weather, and new models to integrate them quickly. Current planning methods under uncertainty are not scalable for the complex problems insurers face, making it even more urgent to adopt innovative approaches.

• Surging Cyber Threats: Cybercrime is exploding in scale and complexity, outpacing insurers' current offerings. Global cybercrime costs are projected to reach $10.5 trillion annually by 2025, a staggering figure that surpasses the damage from natural disasters. From ransomware attacks on hospitals to hacks on critical infrastructure, the need for innovative cyber risk mitigation and underwriting tools is acute. Insurers must rapidly embrace technologies like AI-driven threat modeling and cyber analytics, and they can't wait years to develop them in-house.

• Widening Protection Gaps: Across many risk domains, significant portions of losses remain uninsured. Swiss Re estimates that the global insurance protection gap (unmet need for coverage) reached a record $1.83 trillion in 2023. This number has not changed. In emerging markets, three-quarters of disaster losses aren't protected by insurance. Even in mature markets, new risks, such as gig economy income loss, climate migration, or digital asset theft, often fall outside traditional policies. This unmet need represents both a societal challenge and a market opportunity for insurers who can innovate solutions, if they can overcome internal hurdles to do so.

• Regulatory and ESG Pressures: Regulators are increasing the standards for risk management and ethical technology use. In the US, insurers above a specific size are now required to disclose their climate risk exposure and management plans, prompted by the NAIC and investors. In the EU, the AI Act takes effect in 2025, imposing strict compliance on "high-risk" AI systems in insurance (like AI underwriting algorithms), with fines up to 7% of global turnover for non-compliance. Data privacy laws are tightening globally. Meanwhile, ESG expectations mean insurers are scrutinized on everything from climate resilience to AI ethics. In short, insurers face a mandate to innovate – to develop new products and processes that meet emerging risks and new rules. The old pace of innovation simply won't suffice under this spotlight.

• New Risk Frontiers: Demographic and technological shifts are creating novel risks. For example, people are living longer – by 2050, the number of people over 65 is expected to double to 1.6 billion (one in six globally), raising challenging questions about longevity risk, retirement funding, and the balance between healthspan and lifespan. At the same time, artificial intelligence is now deeply embedded in insurance operations, bringing concerns about algorithmic bias and transparency. Insurers must ensure "responsible AI" in decisions like pricing or claims, which often requires external expertise and new tools. These emerging frontiers (from longevity economy products to AI ethics audits) demand that insurers partner with agile startups and researchers. The challenge is how to do so fast and effectively, rather than through years-long R&D projects.

In sum, the stakes for innovation have never been higher. Rising losses, increasing threats, larger protection gaps, and stricter rules form a perfect storm. The question is: how can large insurers and banks rapidly absorb external innovation to stay ahead of the curve? This is where the venture client model comes in. The venture client model offers a more cost-effective way to access and scale innovative solutions compared to traditional innovation approaches. Adopting external innovations quickly is essential for maintaining competitiveness in the insurance industry.

What You'll Learn

• Venture Client Model 101: What the venture client model in insurance is, and how it enables fast-track startup collaboration for emerging risk solutions (in areas like climate resilience, cyber, AI and more) by making the corporation an early client, not just an investor or observer.

• Why Traditional Pilots Fall Short: The key reasons many corporate-startup pilots stall out (the dreaded "pilot purgatory"), from cultural misalignment to compliance roadblocks, and how a venture client approach bridges the execution gap, aligning with corporate innovation in climate resilience and other priority areas.

• Frameworks for Success: How to systematically close the gap between pilot and production using proven frameworks. We'll introduce the DIVAAA process (Discover–Investigate–Validate–Adopt–Activate–Amplify) and a six-lever insurance innovation strategy that together ensure any collaboration is desirable, viable, feasible, and scalable.

• Real-World Examples: Inspiring case studies of Fortune 500 insurers and fintech/pharma leaders (e.g., Zurich, Munich Re/ ERGO, BBVA, Roche) who have applied venture client partnerships to scale AI solutions in insurance, accelerate climate-tech pilots into products, and ultimately help in closing the protection gap.

• How to Get Started: Best practices to move from one-off experiments to a repeatable venture client program, including tips on navigating procurement, measuring ROI, and building internal buy-in, and a clear call to action for executives ready to turn today's “what if" ideas into tomorrow's business results.

Innovation at a Crossroads: Closing the Execution Gap

Despite pouring billions into innovation labs, accelerators, and venture investments over the past decade, many insurers and banks still struggle with an execution gap. It's the gap between ideas and impact, or where promising proofs of concept never make it to full rollout. Innovation leaders sometimes wryly refer to it as “pilot purgatory." You run a pilot with a startup, issue a press release, everyone claps… and then nothing really changes. Sound familiar?

This execution gap has several causes. Often, corporate innovation efforts fall victim to "innovation theatre", where initiatives look flashy on the surface but have little tangible impact on the core business. A hackathon here, a startup pitch there, maybe a token investment – but no real adoption. The intent is there, but the translation to business outcomes is missing. In insurance, it's not uncommon to see dozens of proofs of concept (PoCs) conducted with insurtech startups. Yet, a year later, not a single one is fully integrated into the enterprise's products or workflows.

One major culprit is the corporate environment itself – sometimes referred to as the "corporate immune system." Large financial institutions are built to manage risk and comply with regulations: they are, by design, cautious. That means when a small startup introduces a new solution, the default reaction of the immune system is often to reject it. Lengthy security reviews, onerous procurement procedures (RFPs, legal approvals, vendor onboarding), data privacy assessments, and siloed decision-making – all these can smother a pilot before it has a chance to prove itself. As one study put it, even a small pilot can be hindered by complex procurement rules and information security checks in a traditional corporate setting. The result is months or years lost in bureaucratic limbo. By the time a solution is cleared to scale, the champion who sponsored it may have moved on, or the problem it aimed to solve has changed. Overcoming these barriers often requires dedicated teams focused on startup integration, ensuring that resources and attention are consistently allocated to move projects forward.

Even when a pilot does succeed technically, scaling it enterprise-wide is a huge leap. Corporate IT landscapes are fragmented and legacy-laden – a pilot running in a sandbox may require significant rework to integrate with core systems. Business units may resist adopting a "not invented here" solution. Budget fights can erupt over who funds the rollout. Without a clear business case and executive sponsorship, the pilot quietly fades away. In fact, some innovation experts estimate fewer than 1 in 3 pilots ever reach full commercial deployment in large organizations (a sobering statistic that we, at Alchemy Crew, aim to beat with robust processes).

This is the execution gap: plenty of experimentation, scant execution. It's not due to lack of talent or ideas – insurers are engaging with plenty of promising startups – but rather a lack of structured pathways to absorb external innovation under real-world constraints. Within these pathways, technical expertise is essential for dedicated teams to evaluate and implement startup solutions effectively. The consequence is a significant number of missed opportunities (and, frankly, wasted effort). At a time when the industry urgently needs new solutions for climate, cyber, and other emerging risks, this slow pace is untenable.

The venture client model was specifically designed to bridge this gap. Instead of treating startup collaborations as fluffy "innovation side projects," the venture client approach treats them as core business ventures from day one. It's about moving beyond the pilot mindset to an adoption mindset, focusing on what it takes to actually implement and scale a solution, rather than just testing it. Over the past 10 years I have helped implement this model for insurers, describes it as shifting from innovation for show to innovation for dough. In her words, it’s about ensuring we discuss “about real adoption, shared accountability, and building systems that enable cross-industry innovation,” not just glamorizing startups for the buzz.

So how does the venture client model actually achieve this? Let’s break down what it is and how it fundamentally changes the game in corporate-startup partnerships.

What Is the Venture Client Model (and Why Is It Different)?

The venture client model is a corporate innovation strategy where a large company engages a startup as a client, not (just) as an investor or incubator. In plain terms, the corporation becomes an early customer of the startup's product or service – even if that product is not fully mature – and uses it to solve a real business problem. This approach was pioneered about a decade ago, with the BMW Startup Garage established in 2015 as the first dedicated venture client unit at BMW. The BMW Startup Garage demonstrated how startups could be integrated into large corporations through the venture client model to foster innovation and competitiveness. This approach enabled BMW to adopt over 10 times more top-tier startup solutions while maintaining high quality. It has since spread across industries. In essence, venture clienting flips the script: the goal is not to mentor the startup or take equity and maybe use their solution later; the goal is to use it now to create value, giving the startup a reference customer and revenue in the process.

Here’s how it contrasts with more traditional corporate-startup engagement models:

• Accelerator/Incubator: In a typical accelerator, a corporation might host startups for a few months, offer mentorship, maybe invest a small amount, and see what happens – but there’s no guarantee the corporate will actually implement the startup’s solution. It’s often more about learning or culture change. Venture client model, by contrast, skips straight to implementation. The startup is there to deliver a service/product to the corporate from day one, under a commercial agreement (often a paid pilot or early purchase).

• Corporate VC Investment: In traditional corporate venture capital, the insurer might invest in a promising startup’s equity. That can be strategically useful, but it doesn’t automatically translate into usage of the startup’s tech. Many corporates have invested in startups that they never became customers of. Venture clienting says: don’t worry about equity (in fact, many venture client programs don’t take equity at all); instead, give the startup what they actually need – revenue and a use-case – and get what you need – a solution deployed to your problem. The venture client model does not require taking an equity stake in the startup, unlike traditional corporate venture capital, which is an equity-based investment approach. As one practitioner put it, “We engage startups as a vendor, not as an experiment – they deliver, we pay, just like any supplier, but we do it at an early stage when the tech is new.” The model eliminates the need for significant upfront capital or resource-heavy management of portfolio startups, limiting costs to payments for initial purchase orders.

• Accelerator/Incubator: In a typical accelerator, a corporation might host startups for a few months, offer mentorship, maybe invest a small amount, and see what happens – but there’s no guarantee the corporate will actually implement the startup’s solution. It’s often more about learning or culture change. Venture client model, by contrast, skips straight to implementation. The startup is there to deliver a service/product to the corporate from day one, under a commercial agreement (often a paid pilot or early purchase).

• Corporate VC Investment: In corporate venture capital, the insurer might invest in a promising startup’s equity. That can be strategically useful, but it doesn’t automatically translate into usage of the startup’s tech. Many corporates have invested in startups that they never became customers of. Venture clienting says: don’t worry about equity (in fact, many venture client programs don’t take equity at all). Instead, give the startup what they actually need – revenue and a use-case – and get what you need – a solution deployed to your problem. As one practitioner put it, “We engage startups as a vendor, not as an experiment – they deliver, we pay, just like any supplier, but we do it at an early stage when the tech is new.”

In practical terms, the venture client model usually involves a dedicated team or program on the corporate side (sometimes called a Venture Client Unit or “Lab”). This team’s job is to scout for startups that fit the company’s strategic challenges, contract with them quickly under a lightweight process, and integrate their solutions in a business unit to solve a problem.

A dedicated venture client unit is responsible for managing the process and relationships with startups, ensuring continuous strategic benefits from these collaborations. 

Successful implementation of the Venture Client Model requires a dedicated unit within the corporation to manage relationships with startups. The focus is on rapid validation and adoption, not on long evaluation cycles. For the startup, it means they get a reputable customer and real-world feedback (and revenue) early on, which is like gold dust for a young company. For the corporate, it means access to cutting-edge tech or new business models without having to build from scratch or commit a huge up-front investment. It’s lower risk and faster time-to-value than, say, a big bang IT project or a blind venture investment.

Importantly, being a “venture client” still involves rigorous testing. Indeed, it’s not about flinging unproven tech into production recklessly. But it reframes the relationship: both sides are working toward a commercial outcome (a successful deployment that solves a business need), rather than a nebulous “pilot for pilot’s sake.” As I often describe it, corporate venture clienting is a little bit sexy because it’s like commercial dating – it lets corporates and startups “engage in a commercialisation exercise” without the slow, multi-layer approvals of traditional investing or procurement. In other words, it cuts through a lot of the red tape by design. You still address risk and compliance, but in a more agile way (we’ll discuss how in a moment).

To illustrate, think of Zurich Insurance: In 2024, Zurich ran its global Innovation Championship, receiving over 3,300 startup applications in just four weeks. Instead of just handing out trophies, Zurich committed to collaborating commercially with the winners. In fact, around 40 ongoing collaborations with past contestants are in place, where startups work directly with Zurich business units to implement solutions. The winners enter a four-month accelerator focused on piloting the practical viability of their tech and preparing to scale within the business. This is venture clienting in action – an open innovation contest that feeds into real contracts and deployments, not just demo days. As Ericson Chan (Zurich’s Chief Innovation & Digital Officer) noted, the aim is to rapidly leverage new ideas and tech to deliver better customer experience, whether it’s AI underwriting or climate risk quantification.

Another example: Ergo, part of Munich Re Group, in Germany. Instead of launching another corporate VC fund, Ergo has leaned into venture client partnerships to adopt digital solutions. They’re tapping startups for things like automated claims handling and AI-driven risk analysis, without taking an ownership stake – just bringing them in as solution providers. This lets Ergo sidestep the slow grind of internal development and the bureaucracy of investment committees. Ergo and others “are already adopting this approach, leveraging innovative solutions while avoiding the bureaucracy associated with demanding investment committees”. In practice, that might mean using a one-page pilot agreement and a sandbox environment so a cyber risk startup can start feeding its analytics into Ergo’s underwriting within weeks, while compliance and IT are co-opted early to sign off on it.

For startups, the venture client model is very attractive because it provides what they need most: a real use-case, validation, and revenue. As described in a BBVA open innovation report, this kind of collaboration goes beyond a one-off sale. It’s an ongoing partnership where the startup can validate and improve its product in a real-world environment, and the corporate gets first dibs on innovative solutions, often even co-developing them to fit enterprise needs. The startup doesn’t have to cede equity or control (they remain independent), yet they gain a marquee customer and deep industry feedback. It’s a win-win: the corporation benefits from new tech, customised to its needs, at lower cost and risk than building in-house, and the startup gains a pathway to scale (and a case study) without begging for more venture funding. A venture client company is one that systematically adopts startup solutions to address strategic challenges, leveraging these partnerships to fill technology gaps and gain a competitive advantage.

In summary, the venture client model in insurance is about making innovation real. It treats startups not as slideware providers or novelty acts, but as bona fide vendors solving business problems under the constraints that matter (security, ROI, user adoption). And it treats the corporate not as a passive observer or patron, but as an active customer with skin in the game. Venture clienting enables companies to access innovative solutions quickly and gain strategic advantages by leveraging startup technologies without the need for equity investments. A good Venture Client Model is inherently scalable due to its speed and cost-effectiveness, allowing for broad adoption of startup technologies. This fundamental alignment, focusing both parties on delivering business value, is what gives the model its edge in closing the execution gap. But success isn’t automatic; it requires the right structures and mindset. To implement the venture client model effectively, companies must establish formal processes and organizational structures to support the approach and ensure consistent, strategic engagement with startups. In the next section, we’ll delve into how leading practitioners structure venture client engagements to consistently go from pilot to full-scale rollout. There are key levers to pull – and some best-practice frameworks to ensure no critical factor is missed. By adopting the venture client model, organizations can realize significant strategic advantages, enhancing their competitiveness and agility in a rapidly evolving market.

From Pilot to Scale: How Venture Clienting Solves the Key Barriers

Implementing a venture client approach is not as simple as writing a check and saying, “go forth, startup.” It involves rethinking the innovation process to remove the usual blockers systematically. Over several years of experimentation, successful venture client programs (like those run by us, at Alchemy Crew’s Venture-Client Labs) have identified a set of key success factors. You can think of these as the six levers that must be pulled to take an idea from initial spark to scaled solution. When these factors are baked into each project, the chances of delivering a scalable outcome skyrocket. They also map closely to the typical barriers we discussed earlier. Importantly, while large corporates often lead the way, smaller companies can also benefit from the venture client model by adapting the process to fit their scale and resources. By focusing on practical approaches—such as prioritizing high-impact pilots, allocating resources efficiently, and building internal capabilities—smaller companies can participate effectively in Venture Clienting initiatives despite having fewer employees or limited budgets. Here’s how the venture client model addresses each problem, lever by lever:

1. Desirability – Nail the Customer Need. A frequent issue with innovation projects is lack of genuine demand from the business or end-customer. Venture client teams start by ensuring any startup solution is desirable – i.e. truly wanted by the market and by the corporate’s business units. In practice, this means scouting based on real pain points (often identified by business unit “problem statements”) rather than tech for tech’s sake. If, say, the claims department has a backlog problem, find a startup that addresses that specific pain. Desirability also means checking that the solution improves something customers care about (e.g. faster payout, fewer errors). By vetting for a strong use case up front, you avoid innovation projects that are “cool but not needed.” Every venture client pilot should answer: whose problem am I solving, and do they ardently want this solved? If yes, you have internal pull – a critical ingredient for later adoption.

2. Feasibility – Embed Compliance & IT Early. This lever tackles the corporate immune system head-on. Feasibility means the solution is doable in the corporate context, technically, legally, and operationally. To ensure this, venture client programs involve IT architects, security, legal, and procurement from the outset as partners. Instead of throwing a pilot over the wall to compliance late, they set up fast-track governance: for example, using one-page NDAs and risk-tiered contracts, creating a pre-approved cloud sandbox with dummy data, and assigning an “innovation ombudsman” who can quickly sign off exceptions. These tactics neutralize the usual speed bumps. A feasibility check might include a quick integration test (can the startup’s API plug into our system?) or a “pre-mortem” workshop to surface potential showstoppers early. The mantra is “yes, if…” instead of “no, because.” By creatively finding ways to get to “yes” – perhaps by starting with a limited data set or a controlled trial – the team proves out feasibility in a low-risk way. This turns potential “pilot paralysis” into action. The outcome: no nasty surprises when scaling, because you addressed the hard integration and compliance questions in the pilot design itself.

3. Viability – Lock in the Business Case. A pilot might be exciting, but will it make or save money at scale? The venture client model emphasizes viability: the long-term sustainable value of the solution for both the startup and the corporation. This means before and during the pilot, the team defines clear success metrics and ROI expectations. For an insurer, viability could be measured in loss ratio improvement, cost reduction, or new revenue stream. For the startup, it’s proof that the corporate will pay for the solution in the future (not just this pilot) – a path to ongoing revenue. Venture client frameworks often require a business sponsor on the corporate side to commit upfront what they’ll do if the pilot meets expectations (e.g. integrate into XYZ process next year, allocate $X budget). As one insurance executive put it bluntly, “scaling happens only with a business case”. So, venture client pilots include building that case. Maybe it’s running an extended pilot to gather more data on benefits, or doing a financial model projection as part of pilot reporting. When viability is demonstrated (say the AI underwriting tool showed a 15% productivity gain and maintained loss ratios), it arms innovation champions to convince the CFO and CIO to fund the rollout. In short, no value, no scale – so bake in value metrics early.

4. Usability – Co-create for User Adoption. Even if a solution is needed and economic, it can flop if end-users hate using it. That’s why venture clienting looks at usability: will the people who must use this (employees, agents, customers) actually love it? This goes beyond UI design, Right! It’s about fitting the workflow and culture. Successful programs often adopt a co-creation approach – involving underwriters, risk engineers, or call center reps (whoever the end-user is) in the pilot. For example, Alchemy Crew highlights that venture clienting is “about usability (beyond desirability, feasibility, viability)”, meaning the pilot should prove real user experience wins, not just technical success. Techniques include gathering user feedback after pilot usage, measuring adoption rates, or running A/B tests. One insurance venture lab lead said if users aren’t actively choosing the new tool over old methods by pilot’s end, they consider it a failure – even if it technically worked – because scaling will be an uphill battle. By focusing on usability, you ensure the solution isn’t just theoretically good, but practically embraced by those it’s intended for. High usability in a pilot creates internal “pull” – users become advocates, asking “Can we keep this tool? It makes my job easier.” That buzz feeds the next lever, visibility.

5. Visibility – Secure Leadership Buy-In and Buzz. In a large insurer or bank, even a successful pilot can die in obscurity if nobody hears about it. The visibility lever is about giving the project prominence and internal support. Venture client programs do this by assigning executive sponsors and widely communicating pilot progress and wins. For instance, a venture client team might demo the startup solution in an executive committee meeting or produce a short video story to share internally (“Meet the startup helping our underwriters assess wildfire risk”). Some organizations create an “innovation showcase” or newsletter that features pilot results, ensuring that a successful experiment in, say, the UK division gets noticed by the Asia or US divisions as well. The goal of visibility is twofold: maintain stakeholder enthusiasm (so you get the budget to scale) and attract any other champions in the organization who see the value. When done right, a venture client pilot becomes a bit of a poster child for innovation: people talk about how “Team X cut fraud losses 20% by working with Startup Y”, and other departments then want to get onboard. This socializes the concept of working with startups and makes it easier to scale and replicate. In essence, internal PR around the pilot ensures it’s not an orphan project. As a practical tip, Alchemy Crew’s six-lever checklist suggests leaders ask “Who needs to hear about this?” at the start of every engagement. That way, you line up your internal marketing strategy in parallel with the pilot execution.

6. Transferability – Design for Scale from the Start. Finally, transferability means the solution and the lessons learned can be transferred and scaled to the broader enterprise. A pilot should never be a dead-end “science experiment.” it’s the first chapter of a larger rollout. Venture client initiatives plan for success. This might include ensuring the pilot environment is as close to real as feasible (so you won’t have to rebuild everything for production), documenting everything in a playbook, and even testing scaling in microcosm. For example, one tactic is an extended pilot: after a successful small pilot, roll the solution out to, say, 10% of the users and see if it still performs well at that semi-scale. If it does, you’re more confident it will work at 100%. If issues arise, you fix them before the big launch. Another practice is the post-mortem/retro explicitly focused on scaling: when a pilot concludes, ask “What would we need to scale this to the whole company? What did we learn that we can reuse?”. Maybe you discover that integrating with the legacy policy admin system is the big hurdle, so you line up those integration resources early for the next phase. Treating scaling as a process, not an event, is key. In fact, I often advise to my venture-client partners to “make scaling a function, not an aspiration” – meaning assign people to it and design pilots with the endgame in mind. The venture client team often acts as shepherds in this stage, helping transition the startup solution from pilot mode to a fully supported, budgeted part of the business. When transferability is addressed, the innovation doesn’t fade after a demo; it becomes business-as-usual.

By systematically pulling these six levers – Desirable, Feasible, Viable, Usable, Visible, Transferable – venture client programs dramatically increase the odds that a startup collaboration will actually stick. It’s a proactive, structured approach to beating the usual odds. In Alchemy Crew’s experience with insurers, this “six-lever framework” has transformed innovation from a slow, hit-or-miss endeavor into a more strategic, repeatable engine of growth. Executives get a checklist to keep teams accountable (Have we nailed the customer need? Streamlined the path to deploy? Built the business case? Will users love it? Who needs to champion it? How do we roll it out enterprise-wide?). Startup founders, on the other hand, get a clearer path to scale within a corporate client: they know what boxes need ticking to turn a one-off pilot into a long-term revenue-generating relationship. Notably, process innovations—such as improved workflows, automation, or streamlined compliance—are often among the most impactful outcomes of venture client collaborations, helping organizations address strategic gaps in their operational processes.

Another way to frame this structured journey is the DIVAAA framework – an acronym for Discover, Investigate, Validate, Adopt, Activate, Amplify. This is the process playbook Alchemy Crew uses in its venture-client labs, and it aligns with the levers above. In short:

• Discover the problem and needed solution (like Desirability – focus on real needs).

• Investigate the landscape for the best ventures solving it (due diligence to ensure Feasibility/Viability – the startup has traction and can work in our context).

• Validate in-market with a paid pilot (this is the pilot phase proving it works – covering Feasibility, Usability, Viability metrics).

• Adopt the solution that shows tangible results (move to full adoption in the business – akin to Transferability, making it part of BAU).

• Activate refers to activating the brand/partnership – essentially, making noise about the success and internally promoting it (Visibility).

• Amplify means scaling the solution across the enterprise or even to new geographies and use cases (the ultimate goal of Transferability – scaling the impact).

Our DIVAAA™ process “prioritizes adoption over ownership”, de-risking collaborations compared to traditional corporate venturing. The proof is in the numbers: using this approach, my team and I have over the years scouted over 55,000 ventures and accelerated 162 of them, with many scaling into strategic partnerships or new business lines for corporates. In other words, the framework has turned dozens of experimental pilots into live deployments and even new revenue streams. It’s not just theory – it’s validated by outcomes.

The key takeaway: innovation needs structure to scale. The venture client model gives that structure, ensuring no critical success factor is left to chance. By addressing the typical failure points in advance (market need, internal buy-in, technical integration, user love, etc.), it creates a fast-track from pilot to full production. Now, let’s look at how this works in practice with some real examples from insurance and adjacent industries, and the results they’re achieving.

Real-World Examples: From Labs to Lasting Impact

Leading insurers, reinsurers, banks, and even pharmaceutical companies are increasingly embracing venture client partnerships to tackle complex, emerging risks. Let’s explore a few real-world examples that highlight how this model accelerates innovation and bridges that execution gap:

• Zurich Insurance – Climate Resilience & AI at Scale: As mentioned earlier, Zurich’s global Innovation Championship is explicitly designed around a venture-client philosophy. Consider one of its recent winners in the Climate Resilience category: CLIMADA Technologies, a startup providing climate risk modeling. Zurich didn’t just give CLIMADA an award – it teamed them with Zurich’s business (Zurich Resilience Solutions unit) and set about launching a tool for quantifying property damage from climate events. Over a 4-month collaboration sprint, Zurich and CLIMADA worked to pilot the tool with real client data and quantify its viability. This involved Zurich’s underwriters and risk engineers working alongside the startup – a true co-creation. The result: a prototype that was not only technically sound but aligned with Zurich’s customer offerings (helping clients adapt and financially plan for climate impacts). By September 2024, Zurich announced that the most successful pilots from the Championship (across climate, health, digital, etc.) would be prepared for broader rollout within its global business. In total, nine startups from that 2024 cohort entered commercial pilots with Zurich units in Europe, North America, Latin America and Asia. This program has led to dozens of new integrations – from AI tools that improve underwriting efficiency, to personalization apps in life insurance – accelerating the pilot-to-product cycle dramatically. In each case, the startup product is what Zurich integrates and scales within its business units, providing a direct path from pilot to enterprise adoption. Zurich’s experience shows that with top-down support, even a 150-year-old insurer can move at startup speed: identify a need, find the startup, run a controlled deployment, and if it works, push it quickly to scale. It’s telling that Zurich publicly brands this as using “a venture-client approach”, and it’s paying off in tangible solutions in market.

• Munich Re / ERGO – Digital Solutions without the Red Tape: Munich Re, one of the world’s largest reinsurers, has long been an innovator (they have a VC arm, integrated a Digital Partners unit, etc.). But a lot of their recent success in adopting new tech has come from a venture client mindset via its primary insurance arm, ERGO. For example, ERGO has engaged startups to enhance its mobility and travel insurance and to create AI-driven customer support, without taking equity stakes. They use rapid pilot contracts and sandbox tests to get through compliance in weeks, not months. Ergo in Germany is leveraging venture clienting to avoid slow multi-party approvals and get to commercialization faster. In practice, this meant implementing a “fast lane” procurement for startups and setting a mandate that every pilot must have a path to production. One outcome: ERGO launched an AI tool that automates parts of their life insurance underwriting in collaboration with a startup – what would traditionally be a multi-year IT project was piloted and expanded in under a year. Another: Munich Re’s Digital Partners unit effectively acts as a venture client incubator, where they bring in insurtech startups and directly integrate them with insurance carriers (including ERGO and others) as a go-to-market strategy. In these cases, the startup product is what is adopted and scaled within the corporate environment, providing a competitive advantage without equity involvement. This has led to new insurance products (like on-demand digital insurance offerings) being launched in record time. The venture client approach in this context is about bridging big-company resources with startup agility – Munich Re provides the capital and risk expertise, the startup provides the tech and fresh approach, and together they quickly stand up a new solution in market. It’s essentially a “pilot” that immediately faces real customers, generating real premiums. Many of Munich Re’s successful insurtech partnerships (from traffic telematics to parametric covers) have this DNA.

• BBVA – Fintech Partnerships for New Services: In banking, BBVA has been a trailblazer in open innovation and was an early adopter of engaging startups as suppliers. Through its Open Innovation and now BBVA Spark programs, BBVA has shifted from just running hackathons to actually buying from fintech startups to enhance its services. For instance, BBVA worked with a young startup offering AI-based trade finance document processing. Instead of simply mentoring them, BBVA became their client, implementing the solution in its operations to automate document checks. This solved a real internal efficiency issue and gave the startup a major use-case. BBVA Spark explicitly highlights “venture clients” as a collaboration mechanism, noting that the established company gains access to innovative solutions and the startup validates its product in a real environment. One success story saw BBVA integrate an expense-management fintech’s API into its SME banking platform, giving business customers a new feature. The deal was structured as a commercial API licensing, not an investment – BBVA acted as a reference client and distribution channel, greatly boosting the startup’s credibility. From payments to cybersecurity (like working with an AI fraud detection startup), BBVA has repeatedly used the venture client model to stay at the cutting edge. They often say the benefit is two-way: the bank gets new capabilities much faster than developing in-house, and the startup gets a springboard to scale. For startups, this early revenue and validation from a major client can be critical for securing further funding and increasing their chances of long term success. It’s telling that BBVA has invested in some startups after first being their client, once they saw the value directly.

• Roche & Healthcare – Startup Creasphere Ecosystem: It’s not just finance – the pharmaceutical and healthcare sector also faces huge innovation needs (e.g. digital health, AI diagnostics) and similar execution challenges. Global pharma leader Roche took a venture client approach through its Startup Creasphere program (a digital health accelerator in partnership with Plug and Play). Roche didn’t stop at the accelerator stage; it built a digital ecosystem where the solutions from startups could plug directly into Roche’s devices and workflows. A great example is Roche Diagnostics’ cobas® pulse ecosystem for point-of-care testing. Roche allowed external startups to develop apps that run on its devices (for things like blood sample tracking or heart disease screening). Two startups, Smart4Diagnostics and CardioSignal, came through Startup Creasphere and ended up integrated into this platform. The CEO of Smart4Diagnostics noted that many great ideas come from small companies, “but successful implementation needs a strong partner who understands the customer’s needs”. Roche provided that partnership, effectively becoming an early customer of these apps and deploying them to its hospital clients via Roche devices. In these cases, the startup product is what is integrated into Roche’s ecosystem and scaled to reach a broad healthcare market. This way, a digital innovation that might have languished in pilot mode was instead delivered to market at scale – because Roche put skin in the game to distribute it. The startups benefited from Roche’s global reach and healthcare domain knowledge, while Roche could offer its customers new digital tools much faster than if it developed everything internally. It’s a textbook venture client scenario: co-develop and commercialize together, each focusing on what they do best. The result is patients and providers got new solutions (like an app that detects heart arrhythmia in one minute via a device, or an app that tracks blood samples to reduce errors) far sooner, and Roche strengthened its ecosystem position.

• Alchemy Crew Labs – Accelerating Insurance Innovation: The Labs we lead have been instrumental in bringing the venture client model to the insurance sector. Alchemy Crew’s R&D Lab works with multiple insurers to Discover & Investigate priority risk challenges (from climate to Web3 insurance to longevity), then its Commercialization Lab helps those insurers Validate & Adopt solutions from growth-stage ventures, following the DIVAAA blueprint. The outcomes have been impressive. We has supported many Fortune 500 clients with our labs including leading insurers such as CIGNA, Munich Re (ERGO), Nippon Life, Travelers, Zurich in venture-client engagements. They’ve scouted tens of thousands of startups, but critically, ensured over 160 pilots were executed with a clear path to scale. One example: an insurer working with Alchemy Crew adopted an AI-powered underwriting tool across multiple regions. The Lab first ran a design sprint to map out use cases and integration points (so Desirability and Feasibility were clear). The corporation then piloted the tool in one country. After positive results, they codified the process into a playbook (covering compliance, workflows, training – hitting those Visibility and Transferability notes) and rolled it out to several markets in 18 months. Without such an orchestrated approach, that kind of scaling would likely have taken many years, or the pilot would have stalled at the first site. In these engagements, the startup product is validated and adopted by the insurer, then scaled across multiple regions, demonstrating the power of the venture client model. Alchemy Crew’s work underscores that having a facilitator with the right methodology can significantly speed up and de-risk the venture client journey for corporates. It’s essentially injecting some startup DNA into the corporate, while keeping the project on track to meet enterprise standards.

  “Our playbooks embed startup solutions directly into a corporate’s operating model — aligning with compliance, procurement, IT, and go-to-market needs.” That alignment is precisely why those solutions stick and scale.

Through these examples, a pattern emerges: when corporates and startups collaborate in a venture client mode, innovation moves faster and farther. We see tangible business outcomes – new products launched, processes improved, customers satisfied – not just innovation theater. Notably, these successes span various domains, including climate tech, cyber, AI, health, fintech, and others. The common thread is not the specific technology; it’s the model of engagement. By bridging cultural and procedural gaps, the venture client approach lets each party focus on delivering value. It’s turning the old “dinosaur vs disrupter” dynamic into a partnership of strengths: the scale and resources of the incumbent with the creativity and agility of the startup.

For large organizations, this model also has a meta-benefit: it builds a repeatable innovation engine. Zurich can run challenge after challenge, feeding its pipeline. Munich Re can systematically plug in new insurtech capabilities. Roche can expand its health ecosystem with external innovators and others. Over time, this can also transform the culture: employees see that working with startups isn’t just a fad, but a core strategy for achieving their business goals. Success breeds success, as confidence in the process grows.

Of course, not every pilot will succeed even under the best process: innovation inherently carries risk. But even the failures in a venture client model tend to be fast failures with learnings that feed into the next cycle, rather than slow fizzles. And the wins can be scaled across the enterprise, delivering outsized impact.

Ready to Lead the Change?

In today’s fast-moving risk landscape, “lead, not just adapt to change” has to be the mantra for insurance and financial services executives. The venture client model offers a proven pathway to leadership – turning bold ideas in climate resilience, cyber risk, longevity, and AI into tangible solutions and competitive advantages. It bridges the execution gap that has frustrated so many innovation efforts, aligning entrepreneurial speed with enterprise strength.

Why watch from the sidelines as others co-create the future? It’s time to take action. If you’re a corporate leader looking to accelerate innovation outcomes – or a tech founder aiming to break into enterprise markets – consider how the venture client approach could transform your journey. If the pilot project fails to meet performance standards, corporations can exit without incurring significant investment, thereby maintaining capital efficiency.

Your next steps:

Make sure to take the Venture Client Readiness Assessment to see where you stand.

Then, schedule an executive briefing with our team at Alchemy Crew to explore how venture clienting can be tailored to your organization’s strategy. We'll share insights on how to rapidly validate and scale new solutions within the boundaries of your compliance and procurement needs, and how to apply frameworks like DIVAAA to de-risk the process.

Don’t let promising pilots die on the vine or let emerging risks outpace your responses. By taking a venture client approach, you can turn “what if” into “what’s next" – fast. The Fortune 500 innovators and scale-ups profiled above have demonstrated that it’s possible to bridge the gap between startups and corporates, and to transition from pilot to full-scale impact in record time. Now is the moment to seize that momentum for your own organization.

Join us in leading this change. Book a briefing with Alchemy Crew’s venture labs, and let’s map out how your next climate resilience solution, AI breakthrough, or cyber defense can go from concept to scaled reality. The emerging risks of tomorrow are daunting – but with the right partnerships and models, you can turn them into opportunities today. Let’s close the innovation gap, together, and build the future of insurance and finance – one scalable venture at a time.

FAQs

1. What is the venture client model in insurance?
The venture client model in insurance is an innovation strategy where insurers engage startups as early customers rather than investors. This allows insurers to quickly adopt emerging risk solutions—such as climate resilience or cybersecurity tools—by purchasing and piloting startup products to gain strategic benefits without equity investment.

2. How does the venture client model help insurers address emerging risks?
By collaborating directly with startups, insurers gain access to cutting-edge technologies that address complex and rapidly evolving risks, such as climate change, cyber threats, and AI ethics. The model enables rapid testing and adoption of innovative solutions, helping insurers close protection gaps and meet regulatory requirements more effectively.

3. What are the key advantages of using a dedicated venture client unit?
A dedicated venture client unit streamlines startup scouting, contracting, and integration processes within the insurer. It ensures faster decision-making, better compliance alignment, and consistent follow-through from pilot to full solution adoption, ultimately turning innovation pilots into scalable business outcomes.

4. How does the venture client model differ from traditional corporate venture capital?
Unlike corporate venture capital, which involves equity investments in startups, the venture client model focuses on purchasing and using startup solutions as a customer. This approach reduces financial risk and accelerates time-to-value by prioritizing solution adoption over ownership stakes.

5. Can smaller insurance companies implement the venture client model effectively?
Yes. While large insurers may have dedicated teams, smaller companies can adopt scaled versions of the venture client model by assigning part-time resources and leveraging streamlined processes. This flexibility enables insurers of all sizes to benefit from startup innovations and enhance their competitiveness.

Want to know more?  Contact us here.