Access, Operations, and Scale: Rethinking the Insurance Market with PoloWorks

Inside PoloWorks: Turnkey Syndicates Across the Full Lloyd’s Value Chain

PoloWorks operates across three main arms. Mark Elliott runs the captives business out of Guernsey; Paul is CEO of the turnkey managing agency; and a third arm, Polo Commercial Insurance Services, provides outsourced underwriting support, client finance, and operational help. For listeners newer to the Lloyd’s structure, Paul breaks down what a turnkey syndicate actually is: Lloyd’s is a collection of syndicates — the risk-taking, capital-deploying vehicles — and the managing agencies that are legally responsible to regulators for those vehicles. A turnkey provider stands one up on a new entrant’s behalf, guides it through Lloyd’s triage and approval, and monitors it for a minimum of three years before it can spin out into its own managing agency.

What makes the model distinctive is speed and completeness. On a modern platform, Paul says his team can stand up a complex, multi-class specialty vehicle with full operational powers in about two weeks, then supply fractional resource for anything a startup needs — down to “half a person on a cold wet Monday.” James likens it to a full-service BPO for the Lloyd’s market, and Paul doesn’t disagree: the business has pivoted squarely toward people, technology, and process. The proof point is a business PoloWorks stood up roughly six months earlier.

“Its income is in excess of 400 million gross written premium every year. There are three people in the business. We supply everything.”

Crucially, the relationship doesn’t end at graduation. Because PoloWorks provides the technology stack, policy administration, and data warehouse from day one, clients often stay on as service partners long after they become independent carriers — in one case, for more than 22 years.

Old Ideas Meet New Technology

A recurring theme is that innovation often circles back to concepts that already existed. Paul points to Wildfire Defense, a syndicate in the PoloWorks book that operates only wildfire business across states like California, Montana, Idaho, and Oregon. The model echoes how fire insurance worked in London 200 years ago, when a company’s fire brigade would only put out fires at properties carrying its plate. Today’s version pairs that idea with technology: a data center monitoring wildfires around the clock, data science modeling where a fire will travel, and physical fire teams positioned to suppress it before it reaches insured properties.

On the operational side, Paul is candid about the constraints of the Lloyd’s environment — a lot of legacy systems and a unique, bureau-based central settlement process that any new technology has to accommodate. The market’s big renewal effort, Blueprint Two, came to a grinding halt because it was too big and too complex to continue. The practical path forward, he argues, runs through APIs, RPA, and modern underwriting workbenches layered over the existing messaging backbone.

AI as an Intern, Not an Overlord

As a lifelong technologist who started writing software as a child and once ran his own tech company, Paul is energized by AI — but disciplined about it. He describes C-suites across the market reacting in very different ways, from “I’ve got a budget, I’m going to spend it” to “we’re scared of it, we’re locking it down.” His own view is that AI works best as strategic augmentation: unraveling complex processes and giving people the visibility to do their jobs better, rather than a wholesale replacement.

“AI is a wonderful tool used by the right people in the right way.”

He’s most excited about the human effect — the “awakening” he sees when people in his 450-person organization start using these tools and productivity ticks up. Rejecting the narrative that AI will simply destroy jobs, Paul compares displaced roles to Victorian-era lamp lighters: work that disappears gets replaced by more valuable work. By removing the glass ceiling that a missing degree or the wrong school once imposed, he argues, AI lets people learn beyond their normal boundaries and become far more valuable than they thought possible.

Key Takeaways

1. Europe’s MGA market is waking up. A historically carrier-dominated Continental market is opening to managing general agents, giving underwriters a new way to access business and deploy capacity outside the UK.
2. The soft market drives capital toward distribution. After an initial land grab while rates hold, the cycle pushes capital down the channel to MGAs at the coalface — fueling the search for underwriters to place in capacity-backed vehicles.
3. PoloWorks is a full-lifecycle partner, not just an incubator. It can stand up a specialty syndicate in about two weeks, supply fractional resource across every function, and remain the client’s technology and back-office partner long after graduation into an independent carrier.
4. AI should augment people, not replace them. Treated as a strategic tool — an intern, not an overlord — AI lifts productivity in the near term and removes old barriers to what people can learn and become.

Connect with Paul Andrews & Mark Elliott

Paul Andrews — LinkedIn: https://www.linkedin.com/in/paul-andrews-81485b20/ | Company: https://polo.works
Mark Elliott — LinkedIn: https://www.linkedin.com/in/mark-elliott-127a1049/ | Companies: https://polo.works | https://marcocapital.net/

Enjoyed this conversation? Check out our previous episode, where we explored AI liability and the next act for insurtech with Freddie Scarratt of Gallagher Re.