Haden Kirkpatrick

What A Strategic Advisor Actually Buys You Across Three Markets

Mon, 31 Aug 2026 00:00:00 GMT

Hiring a Strategic Advisor at a start-up is a big decision. Founders and Boards have to consider what such an advisor would bring to the relationship, and the benefits differ based on whether you are in the UK, US, or EU. The question behind the question is sharp: "Why would I pay for judgment when what I seem to be missing is hands?"

The Easy Answer

In the modern year of 2026, the constraint on the business is rarely headcount…it is judgment about where AI, regulation, and commercialisation intersect, and how those choices translate into an investor-grade story. Capital (whether Venture or Private Equity) has stopped rewarding experimentation. Global insurtech funding rebounded to $2.8bn across 96 deals in H1 2026, up 86% year on year, even as deal count fell 7%. As we’ve discussed in earlier editions, this tells us that money is concentrating into fewer, larger, but more viable bets. A strategic advisor earns their place when they help a firm become one of those big bets, not one of many that quietly runs out of runway.

How The Market Changed

A former colleague of mine used to say, “Context is worth 40 IQ points.” The context of the market here matters quite a lot, because it changes what “good advice” looks like and how it can impact fundraising and business results. The US is now the deepest pool for scale-up capital in the world, taking a 62% share of global insurtech activity in Q2 2026 and eight of the ten largest deals for the quarter. The UK holds a steady second place at around 9%, but the domestic funding pool has tightened to roughly £300m to £400m ($375m - $500m) across stages (far below the 2020 to 2021 peak). UK fintech funding fell to a decade low of £1.8bn ($2.25bn) in H1 2026, down about 66% year on year.

This tightening is all based on one clear signal…of the $2.44bn raised in Q2 2026, some 99.1% went to AI-focused companies. In UK fintech, AI-related investment still reached £445m ($555m) across 79 deals (a quarter of the total). Meanwhile, European investors have grown highly selective, pulling back from lending, banking infrastructure, and insurtech while leaning into regtech, digital assets, and payments.

The environment is clearly rewarding three things: a credible AI thesis, obvious commercial leverage, and fluency across regulatory regimes that often do not agree.

Few founding teams carry all three internally…but the reward for a trifecta are tremendous (just ask the team at Corgi).

What Do Boards And Founders Want

Having spent years running strategy at large companies and sitting on both sides of the due diligence table, I would put the real demand into a short list of clear deliverables:

A clear AI strategy with measurable return. Capital is skewed so heavily to AI-enabled businesses that a vague roadmap now reads as a red flag. Boards want to see how an AI-driven model touches the business (loss ratio, claims cycle time, underwriting accuracy, fraud, etc.), and they want defensible numbers. If your AI story cannot be traced to a line on the P&L, investors will ask what exactly you are having them fund.

Commercial execution over pure innovation. KPMG counts only 124 insurtech deals globally in H1 2026, which could make 2026 the weakest year for count since 2016. That means that deal volumes are coming under severe pressure, investors reward operational execution and business model leverage over novelty. The clever demo no longer wins. Can you show a repeatable process that turns product into distribution, and is smarter, faster, and more viable than the incumbents or other start-ups? This is the question you will be asked to answer and demonstrate in later rounds.

Cross-border regulatory fluency. Data, distribution, and model-risk standards differ across the UK, US, and EU. A strategy that works in one regime can quietly become a liability in another. This is where a poison pill surfaces mid-integration: a distribution assumption baked into the US model that no EU regulator will allow. Who on your team has actually operated inside all three jurisdictions and what is their input on the differentials between them?

Capital efficiency and a real path toward profitability. Selective funding means the burn conversation happens earlier and are chillier than prior cycles. Boards want to see disciplined unit economics, not a hockey stick that assumes the good times will never end. How many months of judgment, not just cash, do you have left?

Where Are Advisors Creating Wedges

Think of the engagement this way…the retainer and the title are the skin; the two or three decisions the advisor genuinely owns are the bones. If a VC or Founder cannot name those decisions, you have bought decoration, not a real asset. In practice the wedge is strongest in three use cases across carriers, MGAs, brokers, Insurtechs, Fintechs, and other regulated entities.

Fundraising And Investor Positioning

I see lots of gaps between what a technical team has built and how a growth-stage investor scores it. An advisor's job here is to convert capability (technical, product, GTM, etc.) into an investor-grade story: how the technology moves the business; how product gets shipped; how go-to-market is effective, and the connective tissue between the three. Given that the largest cheques now sit in the US, part of the work is deciding where you raise vs where your operating base lives.

Market Expansion Across Jurisdictions

Accessing insurers, brokers, MGAs, and finance channels across differentiated markets is not the same process repeated three times. These distinct motions that share a brand and a board. An advisor who has run market entry across multiple jurisdictions can sequence which geographies goes first, which partnerships to prioritise, and which regulatory constraints must shape the product before a launch.

Operating-Model Transformation

For incumbents and scale-ups alike, the hardest work is turning an AI ambition into a redesigned decisioning workflow that a board can measure. This is where a fractional executive with operational experience adds more than a report ever will.

A Question Worth Putting To Your Board

Before you decide between an advisor, a hire, or nothing, sit the board down and ask a short set of questions openly and honestly:

"Can we trace our AI roadmap to a specific, defensible number on the top or bottom line of the business?"

"Do we have anyone on staff who has operated across UK, US, and EU regulatory regimes, or are we assuming they translate?"

"Are we raising where the capital is deepest, or where our habits tell us?"

If the answers are shaky, you have a judgment problem, and that is precisely what an advisor is meant to uncover and help you manage through.

The Point

A strategic advisor will never deliver an ROI as a passive retainer collecting a fee while the plan drifts. The value shows up when the advisor owns a small number of consequential decisions, gives you one hand to shake, and stakes their credibility on the outcome. In a market this concentrated and this selective, that is not a luxury line item…it is the difference between being one of the 96 funded and one of the many that never gets a meeting.

Key Takeaways

Capital is concentrating, not disappearing. H1 2026 insurtech funding rose 86% year on year even as deal count fell, so the game is being one of fewer, larger bets rather than one of many small ones. Position accordingly.

AI without a measurable number is now a red flag. With 99.1% of Q2 2026 insurtech capital going to AI-focused firms, boards expect roadmaps traced to loss ratio, claims efficiency, fraud, or combined-ratio impact. Vagueness reads as weakness.

Cross-border fluency is a scarce, high-value skill. UK, US, and EU regimes diverge on data, distribution, and model risk, and assumptions that travel unchecked become liabilities mid-integration.

The advisory wedge is three use cases. Fundraising and investor positioning, market expansion across jurisdictions, and operating-model transformation are where an advisor with operator credibility earns their place.

Buy bones, not skin. If you cannot name the two or three decisions an advisor genuinely owns, you have bought decoration rather than judgment.

Fractional Executives Are Now Part of the PE and VC Value-Creation Toolkit

Mon, 17 Aug 2026 00:00:00 GMT

The Short Answer

I often get asked questions about being a fractional executive…especially supporting VC and PE clients. The most frequent question is “why would a VC/PE firm want someone fractionally instead of full-time?”

Fractional leadership, done well, can have a very, very high ROI over full time hires. Fractional Execs earn their place where a PE or VC-backed company needs speed and quality, board-level judgment, and a workable bridge to a permanent hire. The sweet spot is usually around post-deal close execution, diligence remediation, AI and automation programmes, and that messy founder-to-scaleup transition where nobody quite knows who owns what anymore.

Done well, a seasoned fractional executive is an operator with deal-close and investment cycle experience with a tight, defined mandate, a handful of high-stakes decisions to own, and an explicit end state. This is more advantageous than an expensive consultant sitting on a retainer, watching, and merely observing problems with the business. Bringing in an operator who knows and has run with these functional roles gives you consultant-level insight, but with two hands and a head to execute.

For sponsors, these kinds of roles have become a value-creation lever. For venture boards, they are a way to take existential organisational risk off the table. Especially in regulated sectors like insurance and fintech, it tends to be a bit of both all at once.

What Changed??

There used to be an old, time worn objection to Fractional Execs…getting part-time attention on a full-time problem.

That framing has aged badly. Having spent years leading strategy, innovation, and venture capital investment inside large companies, I can tell you the constraint on a portfolio company is rarely headcount…it is the balance of mixing speed, clarity, and good judgment in a fast moving environment with high regulatory risk. A search for a full-time executive takes roughly six months. A capable fractional CTO can start in days and deliver real value in that time period. Inside of a holding period, that speed gap is the difference between running your 100-day plan on time and delivering target results vs. handing your first two quarters to a recruiting calendar.

The market has already priced this in. Fractional CTO engagements for PE-facing work tend to cluster around *£*8k to *£*22k per month ($10K - $30K), with retained advisory structures described anywhere from *£*80k to *£*370k ($100k - $500k) per year depending on scope. The pricing says what everyone means but rarely writes down…sponsors are buying operators, not slide decks.

What Buyers Actually Want

These mandates sound nearly identical across founders, boards, and deal sponsors. What sits underneath those requests often do not.

It is helpful to think of these engagement briefs as skin and bones…the retainer and the title are the skin, and the two or three decisions the person is really there to own are the bones. Get the bones wrong and the whole thing collapses, no matter how good the title looks on the org chart.

Each constituent want something slightly different in these roles:

Founders want cash discipline and smart, well-informed decisions. A good fractional leader conserves runway, breaks the product logjams, and adds investor credibility without a permanent C-suite salary. Most companies cannot yet afford a full-time CxO role pre-scale, but badly need the rigour one brings to architecture and hiring. Are you paying for a title, or for someone who will actually make the decisions that have been stuck for a quarter or more?
Boards want the build-versus-buy decisions made…fast. They need clear answers on product prioritisation, modernisation priorities, the first senior hires, and whether to retire legacy stacks before an integration. Let those drift and they compound exponentially over time. Does your board have someone accountable for them, or a committee that enjoys debating them?
PE firms want a 100-day operator. Sponsors expect KPI discipline, real visibility, and a company that is measurably closer to an exit when the mandate ends. The fractional executive owns the plan, not the running commentary on the plan. Can your value-creation plan survive first contact with the actual codebase and the actual team?
VC firms want senior topline cover before the budget supports it. Venture boards reach for this model when a company needs credible product and technical leadership ahead of a full-time hire, particularly around architecture choices and hiring standards. Who is protecting your portfolio company from the expensive mistakes that are murder to unwind eighteen months later?

Across all four the recurring requirement is the same…strategic judgment, hands-on delivery, and good governance. Pure advice does not clear the bar anymore and it hasn't for a while.

The Portfolio Operating-Partner

An even more interesting shift is starting to happen at the portfolio level. One senior operator can set common standards for architecture, security, vendor selection, and board reporting across several companies at once. That is both more efficient and more valuable than dropping a full-time leader into every asset (most of which cannot justify or hold on to that seniority on their own). The VC or PE sponsor gets one, unified standard and one hand to shake across multiple assets. And the companies get a leader who has watched the same failure mode play out ten times and knows which version of it actually kills a business.

This is where the model earns its keep in deal diligence and post-close integrations. After an acquisition, somebody has to decide what to rationalise, what to migrate, and what to switch off before the two stacks are bolted together. Get that call wrong and it becomes a poison pill that surfaces at the worst possible moment… usually mid-integration, with a customer on the line.

AI Is the Clearest Wedge

If one mandate is driving demand right now, it is AI and automation. Current PE commentary is blunt about the value of a fractional tech leader…choose the right use cases, govern the pilots, and kill weak initiatives early before they quietly eat the budget. Most portfolio companies do not have an AI problem…they have an AI-prioritisation and business model problem…with limited tolerance for shutting down experiments that will never deliver an ROI.

Good operating partners ask the three hard questions that separate a real programme from theatre:

"Which specific decisions or workflows will this AI touch, and what is the measurable outcome?"
"Who owns the governance the day a pilot produces a bad result in front of a regulator or a customer?"
"What is our rule for killing a pilot, and have we ever once used it?"

An operator who has actually run these programmes gives you honest answers in weeks. An advisor gives you a maturity framework and a follow-up meeting.

Where Regulation Raises the Stakes

In insurance, insurtech, fintech, and other regulated entities, the fractional leader is worth most when they can modernise a legacy stack, rationalise vendors, and set a defensible compliance approach. Security, auditability, and operational control sit dead centre of investor diligence and exit preparation, so whoever establishes that baseline early is protecting enterprise value, not tidying the engineering org for its own sake. For carriers, MGAs, brokers, Insurtechs, Fintechs, and the software businesses that serve them, that baseline is the line between a clean data room and a discounted deal. I have watched both outcomes. The gap between them is measured in months of preparation nobody wanted to fund.

Key Takeaways

Buy an operator, not a retainer. The strongest engagements own two or three high-stakes decisions with a defined end state. Open-ended advice is the trap that swallows the fee.
Speed is the whole point. Days to start versus roughly six months for a search is decisive inside a hold period or a runway-constrained venture. Time is the thing you cannot buy back.
Use the portfolio model. One senior leader setting standards across several assets beats a full-time hire per company that most of them cannot retain anyway.
Let them own the AI kill-switch. The value is choosing use cases, governing the pilots, and shutting the weak ones down early to protect budget. Who else will?
Regulation raises the reward. In insurance and fintech, a fast, defensible compliance and security floor protects exit value directly, in dollars.
Match the buyer to the mandate. Founders want cash and unblocking; boards want build-versus-buy resolved; PE wants the 100-day plan delivered; VC wants senior cover before the budget arrives.

The Operating Partner Sponsors Actually Need in Insurtech, Insurance and Fintech

Mon, 10 Aug 2026 00:00:00 GMT

The short answer

PE and venture firms investing in insurtech, insurance, or fintech need operating partners who move results, not merely advisors who circle a problem and bill them for it. The role of an Operating Partner has shifted. It used to be related to tidying up operations. Now it is much heavier, including EBITDA growth, commercialization, pricing and packaging, product strategy, AI enablement, and even M&A. In regulated businesses, the operators you want have sat inside carriers, distributors, MGAs, and financial institutions…they know how to spread impact across a whole portfolio instead of babysitting one company.

There aren't many of them. In fact, there are far fewer than the funds looking for them. Which is exactly why hiring effectively matters for this critical role.

Why the operating partner role is changing

For a long time, the label of “Operating Partner” covered almost everyone…a retired chief exec at one end, someone who could fix a P&L at the other.

This gap is closing fast. Sponsoring firms now expect you engage effectively across the deal - from pre-investment diligence right through to exit - and they want someone who can execute a strategy inside a business, keep regulators calm, and manage distribution.

Operating Partner is a fund-level value-creation role, not a company-level COO chair. Founders and first-time sponsors miss this dynamic. A good operating partner isn't there to warm a seat in one business. They sit across the portfolio, and they get judged on the value they compound across several companies at once.

From operational improvement to transformation

Recent PE hiring shows operating partners being dragged into pricing, packaging, product strategy, commercialization and AI enablement, on top of the old fashioned cost-and-process work. In insurance and fintech, that agenda is a required skillset, not a nice-to-have. Distribution economics, loss ratios, capacity relationships, regulatory postures...these are the levers that actually move enterprise value. In my experience, I’ve never seen a generic operating playbook touch any of them, much less all of them at once.

What sponsors should actually look for

These needs are the same across the UK, US, and EU. Demand is heaviest for hands-on operators with real sector credibility. Here's what this experience looks like in practice.

Real operating scars, not advisory exposure

The highest value profiles have operated at scale inside insurers, distributors, MGAs and MGUs, or financial institutions, and done so successfully. These are regulated businesses, and which changes the role of the Operating Partner materially. Someone who has sat through a rate filing, argued capacity with a reinsurer, held a partner carrier relationship together, or stood in front of a board and defended an underwriting result they knew was ugly (I've done the last one, it isn't fun) brings them pattern recognition. You cannot buy that from a consultant who only reads about it in a business magazine.

Cross-border fluency

The UK, US, and EU are genuinely different animals on regulation and distribution. The person who scaled a US MGA does not, by default, know what the UK FCA expects, or how EU passporting behaves when it goes wrong. Prefer real operating time in the relevant region over a polished tour of five markets and depth in none of them. If the thesis crosses borders, make them show you what they executed in each, not just what they’ve observed.

AI capability as a differentiator

The commentary in European PE now talks about the AI operating partner as a distinct role in its own right, showing up more and more across mid-market and small-scale funds. The challenge is that there are barely enough credible people to fill it. In insurance, this isn't about just having a slide. Underwriting, claims, pricing, servicing…all of it is being reworked by AI, and someone who can tell what is deployable from just theatrical is worth the investment.

Do-and-coach, not just strategize

Funds usually pull the Operating Partner role from two pools - former PE or VC-backed executives and top-tier consultants. Lower and mid-market funds lean toward operators who'll do and coach. Bigger funds lean toward structured strategic leaders. Know which kind of Operating Partner you're actually buying. In insurtech and early-stage fintech (with thin teams and a short clock) the operator who rolls up their sleeves beats the one who only frames the problem well.

What founders get out of it

Founders push back on Operating Partners because they smell another layer of oversight bearing down on them. The good Operating Partners are the exact opposite…they bring independent validation plus practical help, all with no permanent headcount adding to the org chart.

Before closing, a credible Operating Partner stress-tests assumptions and validates the thesis, which protects the founder as much as the fund. After closing, they cover the ground founders reliably underestimate - risk and regulatory compliance, underwriting and actuarial questions, partner management, and the grind of scaling across distribution.

Access to incumbents remains a real lever

Access to strategic partners helps to move things forward. Munich Re's Digital Partners is the standing example - a major reinsurer backing insurtechs with product design, actuarial analysis, regulatory support, and underwriting capacity. An Operating Partner who can open doors and keep the relationship healthy hands a portfolio company something capital can't…a solid and growing relationship with real backing. Often this can be the difference between a promising product and a business with real capacity behind it.

How to structure the engagement

Tight scope combined with aligned incentives. Vague mandates give you vague results, and in a portfolio-wide role vagueness gets expensive quickly. Define the deliverables. Agree what "good" means. Then tie the economics to the value created, not hours served.

Use the operating partner across the deal lifecycle

Some funds now expect the operating partner in due diligence as well as portfolio management, so the role runs from pre-investment through exit. This brings continuity which is a highly valuable asset in the full deal lifecycle. The person who pressure-tested the thesis in diligence is the same person who knows where the issues reside when it's time to build value, and are also best equipped to dress the company up for sale when the time comes.

Respect the supply constraint

The market for Operating Partners is selective. The pool that combines operational leadership, measurable transformation, and portfolio-wide judgment is much smaller than the demand for those roles, and it isn't growing. Run the search knowing this simple fact. Don't hire the biggest logo on the CV…hire the evidence of actual value created.

Key takeaways

Operating partners in these sectors are a fund-level value-creation role, not a company-level COO seat.

Sector-specific operating credibility inside carriers, MGAs, distributors, and financial institutions beats advisory exposure.

Cross-border fluency is real; UK, US, and EU markets are distinct regulatory and distribution environments.

AI enablement is becoming a differentiator, especially in European mid-market funds.

Founders get independent validation plus practical help without adding full-time headcount.

Incumbent access, such as reinsurer partnership programs, remains a decisive value lever.

Scope engagements tightly, align incentives to outcomes, and use the partner from diligence through exit.

Due Diligence in Insurtech and Fintech Has Shifted From Verification to Thesis-Testing

Mon, 03 Aug 2026 00:00:00 GMT

The Short Answer

Due diligence in insurance, insurtech, and fintech is no longer a verification exercise, whereby you try to prove the details of the numbers in the slides. We are moving toward a period that demands “thesis-validating” efforts. Sophisticated PE and VC investors now want the real, hard evidence that the business in which they are putting their capital can scale…safely, competently, diligently, and in a compliant manner. That means four coordinated workstreams (commercial, technical, regulatory, and legal) are all layered over financial diligence on unit economics and operational runway.

If your diligence stops at the P&L level and goes no deeper than a data room walkthrough, you are investing in a storyline…not a business.

Why the Bar Moved

Buying or backing companies in a market where digital distribution, embedded finance, AI, cyber resilience is all good for growth. But regulatory readiness matters as much as product-market fit in these sectors. A slick front end and a growth curve are table stakes…it is the skin wrapping the muscles. The questions that actually determine what delivers successful returns sit underneath…they are the bones.

“Is the revenue durable?”

“Is the underwriting profitable?”

“Who owns the code?”

“Will the model survive contact with a regulator?”

I have sat at these tables, running strategy, innovation, and VC at large companies while advising founders and sponsors on the other side of the table. I see a consistent pattern…deals that disappoint their investors rarely fail because the market was too small.

They fail because the due diligence tested the wrong things…or (more to the point) tested them too shallowly.

Commercial Diligence: Customer Led, Not A Sideshow

Commercial diligence has become evidence based and customer led. Investors want market sizing, competitive position, customer quality, pricing power, churn, retention…and go-to-market effectiveness tested with primary research, including customer interviews, competitor sorts, and market scans. Management's own framing is no longer enough…defensible market insights are (and have always been) the golden asset of any given strategy.

What good looks like

Revenue durability - Break the top line revenue streams into cohorts. Is growth from new logos, new segments, expansion, or price action? Retention and revenue by segment tells you whether you own a franchise or a leaky bucket. Are there customers who are keeping you afloat while others try to sink you? Are there customer segments that are more costly to buy than they deliver in profit? These are the key questions that every PE/VC investor needs to understand before they invest in a new firm.

Pricing power - Can the company raise prices (reasonably) without churn spiking? Your price is what you charge; the value is what you deliver. If you raise your price marginally and you have a churn spike, the value isn’t there in the minds of your customers. In insurance and fintech, pricing power often correlates with distribution control, switching costs, service expectations…but generally not brand. Brand is a fungible asset that can communicate these other aspects, but brands cannot create these assets by itself.

Customer quality - Are your customers diversified or concentrated? Are your underlying customers themselves healthy and secure, or brittle? A few large customers or a large customer base can flatter ARR, but might hide fragility. Unit economics are, and have always been, paramount. You “can’t lose money on every sale, but make it up in volume”. Having a customer base that is viable, healthy, durable, consistent…and ideally having multiple customer profiles of this type…are a massive moat on your financial statement.

Technical Diligence is Now Table Stakes

In tech-enabled financial services, technical diligence is no longer a “nice to have”. Standard review areas for these investments need to include software architecture reviews, scalability reviews, technical debt audits, security posture validations, vulnerability assessments, data governance audits, as well as vendor and licensing risk. And that is before you get to the integration requirements.

Founders are being asked to prove more than a growth narrative; investors and acquirers need to scrutinise accordingly. Diligence teams must evaluate who owns the code and IP; whether contractor assignments are clean; whether AI claims are supportable; whether the roadmap is realistic and funded; and whether there is deferred maintenance or hidden technical debt. Missing these elements turn them into poison pills. Not ones that might kill the deal…far worse. They end up being poised pills that kill the business and make the investment or acquisition untenable.

The AI / Data Governance Question

Where I see the most self-inflicted damage is in the data architecture. Lots of companies market AI capabilities that turn out to be rules engines, robotic process automation, or manual review sprints. In EU deals especially, sellers are tested hard on AI exposure, data handling, and regulatory obligations that may transfer to the acquirer on completion of the deal. This is particularly true where product claims depend on machine learning, alternative/synthetic data, or automation.

If your differentiation rests on top of a model, acquirers should execute special diligence on how it was trained, what data feeds it, whether you have the rights to that data, and whether the governance would survive a supervisor or regulator’s inspection.

Risk Transfer Diligence…the Ultimate Hedge

If the target is a carrier, MGA, broker, Insurtech, Fintech or other highly regulated entity, generic tech diligence is necessary, but insufficient. Insurance and financially specific analysis matters.
This is often the workstream that catches technology investors or acquirers off guard - you can buy a business with excellent software, but a broken risk platform. Test these limits directly and ensure that the company has the right kind of risk position given the business or sector they operate within.

Jurisdiction is Destiny

UK, US, and EU regulators make compliance diligence highly material in regulated fields like fintech or insurtech. Targets face jurisdiction focused scrutiny across licensing, data, privacy, and reinsurance.

Nexus issues arise in international firms where there are structures across borders that confuse or infect other operating units. Continental Europe is seeing PE activity consolidate in adjacent insurance/financial service categories, with heavily backed roll-up platforms driving consolidation and efficiencies through the standardization of platforms and shared services.

This is a powerful model, both operationally and financially. But it only raises the stakes on getting the regulatory picture right before you scale a platform across borders.

The practical reality is clear…a business that is compliant in one jurisdiction is not automatically compliant in the next. And if you engineer your systems and operating model for one jurisdiction, you might be missing the nuances of another. If your thesis depends on geographic expansion, due diligence on the regulatory path is as critical (or more) than the market opportunity and financial results.

Link the Deal Terms

Boards and investors do not want generic reports…they want a clear line from findings to the driving of business decisions. The common outputs are price adjustments, conditions to closing, indemnities, remediation plans, or a walk-away. In UK mid-market deals, technical diligence is often run on compressed timelines and framed explicitly as a go/no-go or price-setting exercise—which suits fast-moving sponsor processes.

For VC, the use case is slightly different but converging. Diligence increasingly de-risks follow-on and growth rounds: validating product scalability, security, team depth, and whether growth assumptions are realistic before a term sheet.

A practical diligence stack

Commercial, including market, customers, pricing/ARPU, retention, go-to-market, and marginal costs.

Technical, including architecture, scalability, security, IP ownership, tech debt, AI supportability, and innovation roadmapping/product development processes..

Regulatory and legal, including licensing, data and privacy, cross-border nexus.

Insurance and Risk mitigation, including loss runs, coverage, exclusions, day-one needs.

Financial, including unit profitability, runway, layered across all four.

What this means for founders

If you are raising or selling, assume every claim will be tested by someone with domain expertise and a phone full of your customers. Clean up your IP assignments now. Be able to defend your AI claims. Know your loss ratios and your retention by cohort. The founders who clear diligence fastest are the ones who prepared for thesis-testing, not verification.

Key takeaways

Diligence has shifted from verifying numbers to testing whether the thesis survives scale, compliance, and durable economics.

Commercial diligence is now customer-led and evidence-based, not slide-led.

Technical and cyber diligence is table stakes; IP ownership and supportable AI claims are recurring failure points.

Insurance targets require dedicated risk-transfer diligence—loss runs and coverage, not just software.

Regulatory exposure is jurisdiction-specific and becomes more material as PE-backed platforms consolidate across borders.

Boards want findings tied to price, conditions, indemnities, or a walk-away—not a generic report.

The UK MGA Quality Reset: Why Capital Now Rewards Underwriting, Data and Governance Over Growth

Mon, 27 Jul 2026 00:00:00 GMT

The topline

The UK MGA market is healthy and still growing, but the terms of success have changed. In a softer market, the winning MGA is not the fastest-growing one…it is the one with the strongest underwriting, the cleanest data sets, and the most credible governance posture. Capacity providers, boards, and private capital have shifted from backing a good story to demanding validated insurance proof: proven underwriters, transparent controls, and repeatable economics.

If you run, chair, or fund an MGA, your job over the next 18 months is to demonstrate operating and actuarial discipline, not just distribution or scale.

The market is bigger than most people think, and still growing

Let me start where the confusion usually is - UK MGAs are no longer a fringe distribution model. They now manage more than 10% of the UK's roughly £47 billion general insurance premium pool, with over 300 MGAs competing for capacity and distribution. Delegated authority premium across the wider market is forecast to exceed 45% by 2027. That is a material part of the value chain, no longer a niche market.

Internationally the picture rhymes. MGAs remain the fastest-growing P&C segment across the UK, Ireland, Europe, and beyond. So this is not a story about a shrinking market - it is a story about a maturing one.

Growth with tighter margins

Here is the tension - premium share is rising while rates soften and competition compresses margins. That combination is dangerous for anyone whose model depends on riding a hard market. When pricing was climbing, weak underwriting could still look profitable. In a softening market cycle, the difference between a disciplined book and a lazy one shows up fast in the loss ratios and bottom line combined ratios.

The quality reset is real

Industry commentary heading into 2026 keeps using the same phrases over-and-over: quality over quantity. Buyers and investors have become far more selective in terms of their businesses and investments. They want underwriting strength and leadership depth, not just distribution volume dressed up as a growth story.
I have sat on both sides of this table. As I’ve run strategy, innovation and venture capital teams, the pattern was consistent. Capital chases scale in the good times and quality in the hard times. We are now firmly in the second phase.

If your MGA cannot answer basic questions about portfolio performance, control environment, underwriting sophistication, and leadership bench…you will find capacity harder to renew and equity harder to raise at every stage of growth.

Technology is now a differentiator, not a talking point

For a decade, technology in this sector was mostly a slide in the pitch deck. That era is over.

Recent MGA awards and industry coverage rewards specialty underwriting, purpose-built insurtech services, operational discipline, and talent development. Speed, portfolio agility, and specialist expertise are beating raw scale, especially in a soft market.

The reason is straightforward - technology that shortens time-to-launch, tightens underwriting feedback loops, and produces clean, auditable data directly improves the two things capital cares about most: margin defensibility and actuarial quality. Technology that just automates distribution does not, and can be a ticking timebomb for the business overall.

Clean data is the real asset

When a capacity provider or a VC/PE sponsor looks at your business, the underlying question is always the same - “Can I trust your numbers, and can I repeat your economics?” Clean, structured, well-governed data is what makes that trust possible. It is also what makes AI usable as a business enabler rather than a dangerous, costly, risky investment.

The AI governance gap is the biggest unmanaged risk

Here is the number that should concentrate every board's attention - more than 80% of MGAs are already using AI, but only around 52% have a formal governance framework.

That is a wide gap, and it sits directly on top of delegated authority, where coverholder oversight already carries commercial and regulatory weight.

AI is moving from experimentation to operational risk management. That is a good thing when it is governed. It creates a serious exposure when it is not. If you are deploying models in pricing, triage or fraud detection without documented governance, you are creating oversight risk for your capacity partners and regulatory risk for yourself. Lloyd's managing agents are ahead here, and the expectation will flow downstream to coverholders.

My advice to boards is blunt - close the governance gap before your next capacity renewal, not after. A credible AI governance framework is now part of your license to operate, not a compliance afterthought.

Why risk complexity favors the specialists

The risk environment is getting harder, not simpler. Cyber, climate-related catastrophe, AI-driven exposures, inflation, business interruption, and emerging liability are all overlapping at once.

That complexity is precisely why specialist underwriting and quality data are becoming more valuable. Generalists get repriced out of hard classes quickly; specialists with proprietary data and genuine expertise can hold their margins because they understand the risk better than the market.

What each stakeholder should actually look for

Founders

Build for niche expertise, real product-market fit, and fast launch capability, but do not sacrifice underwriting discipline for growth. A credible path to scale that protects the loss ratio is worth more than a headline growth rate that erodes it when the rapid growth turns into a bottom-line liability.

Boards

Focus on governance, AI oversight, and capacity-provider trust. Ask whether the business can withstand a soft market and regulatory scrutiny at the same time. Demand evidence, not narrative.

PE and VC sponsors

The sector remains attractive because MGAs have grown faster than balance-sheet carriers. But entry multiples are high, which makes performance discipline more important, not less.

Underwrite the leadership, the data infrastructure, and the digital operating leverage as carefully as the sales pipeline and topline revenue. A model that cannot defend margins as pricing softens is a liability dressed as a growth asset.

The frame that matters

The current cycle rewards one combination above all others: specialism plus technology plus governance. Everything else is a variation on that theme. If you are strong in all three, capital will find you and capacity will renew you. If you are strong in only one, you are exposed and your business is at risk.

Key takeaways

UK MGAs manage more than 10% of a £47 billion GI market, with delegated authority share heading past 45% by 2027. This is a core part of the value chain.

The market is still growing, but softening rates are compressing margins and forcing a quality reset.

Capital and capacity have shifted from story to proof: proven underwriters, clean data, and repeatable economics.

Over 80% of MGAs use AI but only around 52% have formal governance. Close that gap before your next renewal.

Specialism, purpose-built technology and credible governance together are the winning formula in this cycle.

What a Strategic Advisor Actually Does for Insurtech, Insurance, and Fintech Companies Across the UK, US, and EU

Mon, 13 Jul 2026 00:00:00 GMT

A strategic advisor for insurtech, insurance, and fintech companies serves as a senior, on-call extension of the leadership team…someone who has operated at scale inside carriers, distributors, or financial institutions; carries a relevant network across regulators, investors, and potential partners; and can quickly solve the specific problems a founder or board is facing. Across the UK, US, and EU, the demand for this kind of senior expertise has grown sharply as capital has become more selective, regulatory bars have risen, and the gap between a good idea and a fundable, scalable business has widened.

Why Founders and Boards Are Turning to Strategic Advisors Now

The post-2021 correction in insurtech and fintech forced a hard reset, both in terms of operating models as well as approaches. Capital that once chased growth at any cost now demands a credible path to profitability, defensible unit economics, and a management team that can demonstrate they understand the regulatory and operational realities of insurance businesses across geographies. That is a different conversation than most pure-play technology founders are used to having…and it is one of the things that makes Insurance and Insurtech so challenging.

At the same time, the problems that kill promising insurtech and fintech companies are rarely the technology problems. They are distribution problems, partner problems, regulatory sequencing problems, and board communication problems. A strategic advisor who has lived inside these systems (one who has sat on the carrier side of a capacity negotiation, who has navigated a state insurance department examination or an FCA authorisation process, who has presented to a board during a capital raise) can compress the learning curve dramatically.

For PE and VC sponsors, the calculus changes somewhat. Advisors are often brought in to provide independent validation of a thesis, to stress-test management assumptions before deal close, or to provide ongoing oversight and strategic support post-investment without adding a full-time executive headcount line.

Regardless of the model or the approach, these resources offer an exceptional return on investment for all participants in the process. So what do they actually do that makes them such a compelling option?

What Cross-Border Expertise Actually Means in Practice

The UK, US, and EU are not interchangeable markets, and treating them as such is one of the most common and expensive mistakes a scaling insurtech or fintech makes.

Regulatory Architecture Is Fundamentally Different

In the United States, insurance regulation is state-by-state. Launching in fifty states is effectively fifty separate regulatory relationships, each with its own filing requirements, rate approval processes, and market conduct expectations. A company that has figured out California has not figured out Texas. An advisor with carrier-side experience understands which states to sequence, where the right entry point is to ensure economically viable growth, where the regulatory relationships matter most, and how to structure a market entry that does not create compliance debt that compounds later.

In the United Kingdom, the FCA and PRA operate a principles-based framework that rewards firms who can demonstrate genuine understanding of consumer outcomes — particularly under the Consumer Duty regime that came into full force in 2023 and 2024. The authorisation process is rigorous, and the ongoing supervisory relationship requires a level of board-level engagement that many founders underestimate.

Across the EU, Solvency II for insurance and a patchwork of national transpositions of broader financial services directives mean that a company operating in Germany, France, and the Netherlands is effectively managing three distinct regulatory relationships even within the single market. DORA, the Digital Operational Resilience Act, adds a further layer of operational and third-party risk management obligation that is now reshaping how insurtechs and fintechs architect their technology stacks and vendor relationships.

Distribution Models Vary by Market

Broker and intermediary relationships that are standard in the Lloyd's and London Market but have no direct equivalent in the US surplus lines world, even though both serve complex and specialty risks. Bancassurance, which remains a dominant distribution channel across much of continental Europe, is largely absent from the US market. Embedded insurance and embedded finance are growing in all three geographies, but the partner economics, the regulatory treatment of the embedding entity, and the consumer expectations around disclosure differ meaningfully.

An advisor who has operated across these markets can help a company avoid building a distribution strategy that works perfectly in one geography but fails to translate into other geographies.

What Good Advisory Engagement Looks Like

The most effective advisory relationships I have seen share a few common characteristics.

Clear Scope and Honest Chemistry

The best advisors are not generalists who will say yes to anything. They have a specific domain expertise (carrier relationships, regulatory strategy, capital markets, product architecture, distribution, technology, etc.) and they are honest about where their expertise ends. A founder who needs help navigating Lloyd's capacity should not be working with an advisor whose entire career was in US personal lines, and vice versa.

Chemistry matters too, as it does in all founding relationships. Advisory relationships that work are ones where the founder or CEO will actually pick up the phone when something is going wrong, not just when things are going well. That requires a level of trust that has to be established early and maintained.

Defined Deliverables and Access to Networks

An advisor who is attending board meetings and offering general observations is not the same as an advisor who is making introductions to three potential carrier partners, preparing the management team for investor questions, or working through a regulatory response with outside counsel. Engagement structures should be specific about what the advisor is expected to deliver, over what time horizon, and how success is measured.

Equity and Cash Structures That Align Incentives

For early-stage companies, advisory equity is standard, typically in the range of 0.1% to 0.5% vesting over one to two years, depending on the seniority of the advisor and the scope of the engagement. For later-stage companies, growth-stage businesses, or PE-backed platforms, cash retainers with or without co-investment rights are more common. The structure should reflect the actual time commitment and the nature of the value being delivered. Advisors who take large equity grants and then disappear are a governance problem, not a strategic asset.

What Boards and Sponsors Should Ask Before Engaging an Advisor

Before formalising any advisory relationship, boards and sponsors should be able to answer four questions clearly:

What specific problem are we trying to solve, and does this advisor have direct experience solving it?
What relationships does this advisor bring that we cannot easily access ourselves, and are those relationships current and warm?
Is this advisor willing to be held accountable to specific outcomes, or are they offering only general guidance?
Does this advisor have any conflicts of interest — with competitors, with potential partners, or with investors — that could compromise their independence?

If the answers to those questions are vague, the engagement is likely to be vague too. But if the answers to these questions are clear, succinct, and demonstrable, an advisor can lend tremendous value to an insurance or insurtech firm across all levels of growth and investment.

Key Takeaways

Strategic advisors for insurtech, insurance, and fintech are most valuable when they bring specific operational experience from inside carriers, distributors, or financial institutions — not just consulting or advisory pedigree.
The UK, US, and EU are genuinely distinct regulatory and distribution environments. Cross-border expertise requires having actually operated in those markets, not just having read about them.
The best advisory relationships have clear scope, defined deliverables, honest chemistry, and incentive structures that align the advisor's interests with the company's outcomes.
For PE and VC sponsors, advisors can serve as independent validation, post-investment oversight, or fractional executive capacity — but only if the engagement is structured with the same discipline applied to any other strategic resource.
The problems that kill promising insurtechs and fintechs are almost never the technology problems. They are the distribution, regulatory, capital, and governance problems that an experienced operator has already navigated.

Why PE and VC Firms Are Turning to Fractional Executives in Insurtech and Fintech

Wed, 01 Jul 2026 00:00:00 GMT

The Short Answer

Fractional Product, Technology, and Strategy executives give PE and VC firms and their portfolio companies immediate access to senior operating capability without the cost, commitment, or calendar drag of a full-time C-suite hire. In a market that has decisively shifted from growth-at-all-costs to revenue, profitability, and cash-flow discipline, that trade-off is no longer a compromise — it is the smart play.

The Market Has Changed. Leadership Models Need to Change With It.

For most of the last decade, the playbook for a funded insurtech or fintech was simple: raise capital, hire fast, grow fast, figure out the unit economics later. That era is over.

Investors in 2026 are prioritizing fundamentals. Boards want real evidence of early revenue and user traction, not pitch-deck projections. Capital discipline — the kind that shows up in operating margins and risk-weighted asset optimization, not just burn rate conversations — is now table stakes. And the founders and management teams that thrive are the ones who can move quickly from strategic intent to operational execution.

That shift creates a specific talent problem. The executives who know how to build a compliant, scalable technology stack, embed financial services into a vertical SaaS product, or architect a go-to-market strategy for a regulated market are expensive, hard to recruit, and often over-qualified for a company that needs six months of focused work rather than a five-year tenure.

Fractional executives solve that problem directly.

What Fractional Actually Means at the Board Level

Let me be precise about what we are talking about, because the term gets used loosely.

A fractional executive is not a consultant who writes a strategy deck and disappears. It is not a part-time employee filling a gap while you search for a permanent hire. Done properly, a fractional Product, Technology, or Strategy leader is a senior operator who takes accountability for a defined outcome, works inside the business at the leadership level, and brings a network and pattern recognition that a first-time or second-time founder simply cannot replicate.

The distinction matters because boards and sponsors need to set expectations correctly. You are not buying hours. You are buying judgment, relationships, and the ability to compress the time between a strategic decision and its operational consequence.

Where the Demand Is Coming From

Embedded Finance and Vertical SaaS

The embedded payments market was valued at $8.4 billion in 2025 and is projected to reach $68.2 billion by 2034. North America holds 46.4% of that market; Europe is the second-largest region at 27.3% with a 27.9% CAGR. Those numbers represent enormous pressure on vertical SaaS platforms to embed financial services — payments, insurance, lending — directly into their product experience.

Navigating ACH, RTP, FedNow, NPP, and the growing list of bank-to-bank payment rails is not a generalist skill. A fractional Product or Technology leader who has already built on these rails, negotiated with banking partners, and managed the compliance overhead can save a portfolio company twelve to eighteen months of expensive trial and error.

AI Adoption and Regulatory Risk

Artificial intelligence is transforming financial services faster than regulatory frameworks can keep pace. That gap creates real exposure — cybersecurity vulnerabilities, model governance questions, consumer protection issues — that boards cannot afford to ignore. A fractional Technology or Strategy executive who understands both the capability and the compliance dimension is exactly what is needed to move fast without creating a liability.

Capital Discipline and Risk Architecture

PE-backed financial services businesses face specific demands around capital efficiency. Maintaining appropriate capital ratios, optimizing risk-weighted assets, building straight-through processing capabilities, and implementing data-driven controls are not aspirational goals — they are prerequisites for a clean exit or a successful next raise. Fractional Strategy executives with financial services operating experience can enforce that discipline without the politics of a full-time hire who may be protecting their own empire.

What Good Looks Like: What Boards Should Demand

Not every fractional engagement delivers. Here is what separates the ones that do.

Defined outcomes, not open-ended mandates. The engagement should start with a clear answer to the question: what does success look like in 90 days, and in 12 months? If that answer is vague, the engagement will be vague.

Operator credibility, not advisory distance. The fractional leader should be willing to sit in the room where decisions are made, challenge the team, and be accountable for results. If they are only available for monthly calls, you have a consultant, not an executive.

Network activation. One of the most undervalued dimensions of a senior fractional hire is the relationships they bring. Strategic partnerships, distribution channels, regulatory introductions, talent referrals — these are not soft benefits. They are often the primary value driver, particularly for companies trying to accelerate international expansion across the UK, EU, and US simultaneously.

Market awareness. The fractional leader needs to understand the scale of the opportunity the business is pursuing. Investors want proof that the company is operating in a multibillion-dollar market affecting millions of customers. A fractional Strategy executive should be helping the board tell that story with data, not just intuition.

The Non-Executive and Fractional Leadership Continuum

It is worth noting that the fractional model sits on a continuum with non-executive director and advisory roles. Companies like Addresscloud have appointed non-executive chairs specifically to accelerate scaling across the UK, EU, and US — a signal that leaner, more flexible leadership structures are becoming the norm rather than the exception at growth-stage companies.

For PE and VC sponsors, this means thinking about the leadership architecture of a portfolio company more holistically. A full-time CEO and CFO, supported by fractional Product, Technology, and Strategy executives and a strong non-executive board, is often a more effective and capital-efficient structure than a bloated full-time C-suite during the scale-up phase.

The Cost Efficiency Argument Is Real, But It Is Not the Point

Yes, fractional executives cost less than full-time hires when you account for salary, benefits, equity, and the organizational overhead of managing a larger leadership team. That is a real advantage, particularly in an environment where capital discipline is non-negotiable.

But the more important argument is speed and quality. The best fractional executives are people who have already solved the problem you are facing — at a previous company, in a previous role, in a previous market cycle. They are not learning on your dime. They are applying proven judgment to your specific situation, and they can do it immediately.

For a portfolio company that has 18 months of runway and a board that wants to see traction before the next raise, that is not a nice-to-have. It is the difference between making it and not.

Key Takeaways

The shift from growth-at-all-costs to revenue, profitability, and capital discipline has made fractional executive models structurally more attractive for PE and VC portfolio companies.
Fractional Product, Technology, and Strategy leaders deliver senior operating capability without the cost, commitment, or timeline of a full-time C-suite hire.
The embedded payments market ($8.4B in 2025, projected $68.2B by 2034) and the rapid proliferation of payment rails create specific demand for fractional Product and Technology expertise.
AI adoption and regulatory evolution require fractional leaders who can navigate both the capability and the compliance dimension simultaneously.
Boards should demand defined outcomes, operator-level accountability, network activation, and market-scale awareness from any fractional engagement.
The fractional model works best as part of a deliberate leadership architecture — not as a stopgap, but as a strategic choice.

What it really means to become a platform-level insurer

Thu, 18 Jun 2026 00:00:00 GMT

Every incumbent insurer now has a "digital transformation" programme. Far fewer have made the harder decision underneath it: whether to remain a product manufacturer with better tooling, or to become a genuine platform where data, pricing and distribution compound on each other.

This is a draft seed article — it exists so the design, schema and content pipeline can be reviewed end to end. The real editorial calendar is produced by the SEO/AEO content engine.

The distinction that matters

A modernised manufacturer ships the same products faster. A platform changes what the business is: every policy written improves the next price, every distribution partner widens the data aperture, and the marginal cost of a new product falls toward zero.

Why it's a board decision

The move reallocates capital away from near-term combined-ratio optimisation toward capabilities that pay back over multiple years. That trade-off — defensible growth versus quarterly margin — is exactly the kind of decision a board has to own, not delegate.

What good looks like

A data ecosystem treated as an asset with its own roadmap, not exhaust.
Pricing and underwriting that learn from production, not just from annual reviews.
Distribution designed as a two-way data relationship, not a one-way sales channel.

The carriers that get this right don't just digitise. They change their own cost curve.

The value-creation work that actually moves a multiple

Thu, 11 Jun 2026 00:00:00 GMT

When a sponsor asks an operating partner "where's the value?", the wrong answer is a list of forty initiatives. The right answer is the two or three moves that change the story a future buyer will tell themselves.

This is a draft seed article for reviewing the content pipeline; the production calendar comes from the SEO/AEO engine.

Start from the exit narrative, work backwards

Every strong exit has a one-sentence thesis — "the category leader in X", "the lowest-CAC operator in Y", "the platform everyone else integrates with". Value-creation work is whatever makes that sentence demonstrably true.

The levers that compound

Unit economics. A structural CAC reduction or retention gain shows up in every future cohort. It is the most durable thing you can fix.
A defensible position. Repositioning out of the mid-market trap is worth more than another point of efficiency.
A new unit with its own logic. A profitable new line reframes the company as a growth story, not a mature one.

What boards should fund first

Fund the move that, if it works, makes the others optional. Sequence matters more than ambition — and the discipline to not fund the other thirty-seven initiatives is where most of the value is protected.