In The Press

The Three-Level Insurance Flywheel

05.28.2026
Insurance Industry Micro Insurance Press Release Thought Leadership
the-three-level-insurance-flywheel

Why MIC Global’s growth model compounds instead of plateaus 

By Harry Croydon, Co-Founder, President & COO.MIC Global

Most insurance companies run on a pipeline. Leads come in, policies go out, renewals follow. Growth is a function of headcount, marketing spend, and distribution relationships — all of which cost money and plateau over time. The model works. But it does not compound. 

The problem with the pipeline 

Traditional insurance grows linearly. Add a salesperson, write more policies. Increase the marketing budget, generate more leads. The pipeline has no answer for the growth rates the best digital platforms post: fintechs doubling their user base in twelve months, gig economy operators crossing borders in a quarter. 

MIC Global was built to serve those platforms. To do that seriously, our growth model had to match theirs. The pipeline was never an option. 

The flywheel idea: why three levels

A flywheel is a growth model built on momentum. Each action adds energy to a spinning wheel. The heavier and faster it turns, the less effort each subsequent push requires. Amazon mapped this principle in its earliest shareholder letters: more customers attract more sellers, more sellers attract more customers, lower costs from scale attract more of both. The wheel becomes self-reinforcing. 

Most businesses that adopt a flywheel model operate at two levels. MIC Global operates at three. The third level is where the economics change.

Wheel one: capacity and partners

The first wheel connects our Lloyd’s Coverholder status and reinsurance relationships which is our underwriting backbone to a growing network of digital distribution partners: platforms, fintechs, lenders, and gig economy operators across the US and globally. 

The logic is direct. The more partners we add, the more data we accumulate. More data means better underwriting, faster product development, and sharper pricing. Better products attract more partners. The wheel starts turning. 

MiIncome™ is the engine here: embedded income protection designed to sit natively inside a partner’s platform. Not bolted on. Not a redirect. Protection felt as a product benefit, invisible as a policy. Partners including inDriveQICRhino, and ASNA are part of this wheel today, each adding momentum. 

One thing that keeps the first wheel nimble: MIC Global carries no long-tail catastrophe exposure, no large-limit liability. The platform is built to move fast. 

Wheel two: products and scale

The second wheel engages as the first accelerates. As our partner network grows and our data deepens, we develop and deploy new products at a pace and cost that traditional insurance infrastructure cannot match. 

MiIncome™’s trigger architecture makes this possible. Involuntary job loss. Natural hazard income disruption. Gig worker accident cover. Trip cancellation. Weather inconvenience. Each trigger is modular, repeatable, and deployable across new markets in a fraction of the time a traditional product build requires. 

Every product we add strengthens what we can offer a partner. Every market we enter expands the compliance and fronting network they benefit from. A partner launching in the US today can expand into India, Latin America, or Southeast Asia with MiIncome™ already positioned to support that move. 

The second wheel also collects data at scale: claims data, behavioural data, loss ratios by trigger type and geography. That feeds back into underwriting, pricing, and product design. The flywheel tightens. 

Wheel three: partner growth compounds our growth

This is the level that makes MIC Global’s model different from any two-level flywheel, and the reason we believe our growth potential is comparable to the platform businesses we serve. 

The partners we work with are not passive distributors. They are flywheel businesses in their own right — platforms actively growing their user bases, deepening their ecosystems, and expanding into new markets. And this is where our model does something a conventional insurance relationship cannot: we help them do it. 

We do not just grow when our partners grow. We help them grow. Embedded income protection — properly positioned — becomes a product feature that improves acquisition, deepens retention, and extends customer lifetime value. When a partner integrates MiIncome™, they are not bolting on an insurance policy. They are adding a commercial asset. Their acceleration adds to ours. Ours feeds back into theirs. The right partners do not slow the wheel. They spin it faster. 

The first wheel is running. The second is accelerating. The third is what makes the whole model self-reinforcing — for us, and for the platforms we work with.

Why now 

The income protection gap is not a niche problem. According to the International Labour Organization, more than 4 billion people globally have no meaningful social protection coverageIn the US alone, more than half of adults cannot cover three months of expenses from savings. The gap is structural. Existing solutions are priced and distributed for a different era. The opportunity to reach underserved people through digital platforms they already trust has never been more accessible. 

Traditional insurers were not built to close this gap. Their distribution models, product timelines, and cost structures were designed for a different customer relationship — one that reaches far fewer people, at far higher price points. 

MIC Global was built for this gap: with the flywheel architecture, the AI infrastructure, and the partner network to make embedded income protection a standard feature of digital life. 

The first wheel is running. The second is accelerating. The third is what makes it self-reinforcing. 

The right embedded protection partner should make your platform stickier, your customers more loyal, and your proposition harder to replicate. If that sounds like the right conversation, let’s have a chat. 


About the Author

Harry Croydon is Co-Founder, President and COO of MIC Global. Connect with Harry on LinkedIn

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In The Press

The $1M Employee: Why Talent Density and AI Are Rewriting the Rules of Insurance

05.19.2026
AI Insurance Industry Press Release Thought Leadership

At MIC Global, we are not planning an AI transformation. We are living one and in 2026, the numbers are starting to show it.

The metric we use to hold ourselves accountable is one we believe every insurance business should be tracking: revenue per employee. It is the clearest way to see the gap between companies genuinely built for the future and those retrofitting for it.

Our target at MIC is $1 million per employee, after cost of goods. We are on track to get there.

The Number That Tells the Truth

Revenue per employee sounds simple. It is not.

In insurance, headline revenue figures mislead if you take them at face value. Claims are the cost of goods. Strip them out and you see what a business actually produces per person: the real output of its people, processes, and technology combined.

In the technology sector, this figure routinely clears $1 million. In traditional insurance, it falls well short. That gap is not incidental. It reflects decades of manual workflows and organizational layers designed long before AI made them redundant. The companies closing that gap fastest are the ones that started without the legacy. AI-native businesses built on embedded, parametric, digital-first models have a structural advantage that no transformation program can fully buy back. What is Embedded Microinsurance?

What Chubb’s Numbers Actually Show

Chubb recently announced plans to cut headcount by around 20 percent, targeting expense savings of roughly 1.5 combined-ratio points. Management expects 85 percent of major underwriting and claims processes to be automated, with a similar share of gross written premium flowing through fully digital channels. It is an ambitious program and a clear signal that even the largest global insurers are waking up to what AInative operations can deliver.

But the numbers deserve honest scrutiny.

Chubb employs around 43,000 people and generated $59.4 billion in revenue last year, roughly $1.3 million per employee on the surface. That looks impressive until one accounts for claims, which represent about 61 percent of revenue. Strip those out and true net revenue per employee sits closer to $540,000.

Solid by insurance standards. Still well short of the $1m net revenue per employee target.

If Chubb executes well, cutting headcount while growing revenue, it may increase this value and may reach $700,000 per employee net of claims. A real achievement at that scale. But still a target we are already aiming beyond.

Once you reach $1 million per employee net of cost of goods, you can grow revenue without growing headcount proportionately. Legacy scale cannot replicate that and this is where Talent and Tech converge to create exponential corporate value.

The compounding advantage of an AI-native model is this: once you reach that threshold, revenue can grow without headcount following it. Legacy scale cannot buy its way to the same outcome. The gap comes from technology, business model, and product innovation, or the absence of it.

Why We Can Get There

The answer is not technology on its own. It is the right technology, with the right people, used the right way.

We call this talent density. The concentration of high performers in a team matters more than the size of the team. High-density teams move faster, hold each other to higher standards, and produce far more output per head. In a lean, cross-functional business like MIC Global, where one person may cover underwriting, product, and partner delivery, talent density is not a philosophy. It is the operating model. We believe in our talent and providing tech that gives them the tools to succeed.

AI has dramatically raised the ceiling on what one talented person can produce. Tasks that once took hours, now take minutes. Work that required days of research and drafting happens in a fraction of the time. Our teams are reskilling around these tools. Our hiring reflects them. We are not replacing capability. We are amplifying it.

Business teams at MIC Global now build the tools they need. Engineering deploys, iterates, and builds on them further creating synergy and efficiency. The cycle from idea to implementation has been compressed in a way that would not have been realistic two years ago. What keeps our people moving is not rigid process. It is curiosity, and that tone is set at the top.

The Human in the Loop Is Not Optional

This part does not get said clearly enough in conversations about AI: the quality of the human in the loop determines everything.

AI is powerful. It is also capable of confident error. It assumes. It fills gaps. It can introduce inaccuracies plausible enough to slip past someone who does not know the business well. This is where talent density and AI intersect in a way that is non-negotiable for us.

Our people need to know this business and be experts in their fields. They need to live our values and understand our partners, our customers, and the specific realities of embedded income protection across global markets including Qatar, sub-Saharan Africa, the US, LATAM, and Southeast Asia. Without that knowledge and experience, AI output cannot be properly reviewed. Errors build quietly.

The best use of AI is not to remove human judgement. It is to free highquality human judgement from low-value work so it can focus where it matters most: catching edge cases, questioning assumptions, and bringing in contextual understanding no model has yet learned to replicate.

Curiosity and vigilance are not soft skills. At MIC Global in 2026, they are commercial advantages.

6 Countries to 24 in Twelve Months

Over the past year we expanded from 6 to 24 countries, growing our partner ecosystem across mobility, financial services, remittance, and telecoms, now protecting millions of people globally. We secured regulatory approval in Qatar, established a GCC expansion strategy with Qatar Insurance Company, and are rolling out across Kuwait, Oman, and Saudi Arabia.

None of this came from scaling headcount proportionately. It came from scaling capability through technology, talent density, and an operating model that was built AI-native from day one rather than adapted to AI after the fact.

This is what embedded microinsurance at scale looks like in 2026. Not a product bolted onto a legacy platform. A complete operating model built from the start around the technologies and principles that make $1 million per employee a realistic, measurable target. How MIC Global’s embedded microinsurance works?

Transforming vs Being

There is a real difference between an organization transforming toward AI and one that was built inside it. The first is retrofitting decades of process, culture, and headcount to a new way of working. The second just operates.

We are not planning to become an AI-native insurance business. We already are one. The $1 million per employee target, net of claims, measured honestly, is how we hold ourselves to account for what that actually means in practice.

For our partners, it means working with a business that moves fast, integrates cleanly, and maintains quality that lean teams sustain rather than sacrifice. For investors, it means revenue that scales without a proportionate rise in operating cost.

The industry is beginning to understand what AI makes possible. At MIC Global, we are already doing it

Ready to embed AI- Native Protection into your platform?


About the Author

Harry Croydon is Co-Founder, President and COO of MIC Global. Connect with Harry on LinkedIn

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