Smart Insurance Trading: How Algorithmic Matching Is Transforming the London Market

The London market has operated on syndication for generations, with brokers walking floors and sending emails to assemble follow capacity one underwriter at a time. That process worked when risk transfer was slower and less data-intensive. It no longer matches what the technology can deliver. Smart insurance trading, powered by algorithmic matching and structured data models, is replacing weeks of manual broker-underwriter negotiation with same-day capacity confirmation.

On a recent episode of the Underwriting Intelligence Podcast, Gilbert Harrap, Co-founder and CEO of InsurX, sat down with hyperexponential Co-founder and CEO Amrit Santhirasenan to discuss how algorithmic matching is reshaping the way brokers and insurers trade risk. Harrap started his career as an underwriter before becoming head of strategy at a large insurer-reinsurer, giving him direct experience with the inefficiencies he set out to solve. Santhirasenan called it "frustration driven development," a label that fits Harrap's trajectory from market practitioner to technology entrepreneur. With more than $100 million already traded on the InsurX platform, Harrap outlined a vision that stretches well beyond smart follow into what he calls smart trading: a future where any broker and any insurer can exchange risk with minimal friction.

Key takeaways

• Algorithmic matching gives brokers same-day follow capacity confirmation, replacing the traditional 2-4 week process

• 25 insurers now deploy smart follow capacity through InsurX's matching engine, with more than $100 million already traded

• Three approaches are emerging: algorithmic smart follow, tracker facilities, and broker-built facilities with algorithmic capabilities

• The London market could grow from $140 billion to $260 billion in premium without adding headcount by removing duplicated manual effort

• Live-time portfolio reporting replaces monthly reporting cycles, giving insurers real-time visibility into quoting and binding activity

What is smart insurance trading?

Smart insurance trading refers to the use of algorithmic matching, structured data models, and AI-powered platforms that allow brokers and insurers to transfer risk instantly, without the friction of traditional manual processes. It represents a spectrum of solutions designed to accelerate how capacity gets assembled after lead terms are established.

In the traditional slow follow model, once a lead underwriter sets a price, the broker contacts additional underwriters by phone and email to fill out the remaining capacity. Each follow underwriter reviews the submission independently, often re-keying data from SOVs and PDFs into their own systems. As Harrap noted, the effort required to assemble follow capacity nearly matches the effort at the lead stage. Santhirasenan observed that this duplicated effort amounts to a deadweight loss for both sides.

Smart insurance trading collapses that timeline. Once lead terms are confirmed, algorithmic systems match the structured risk submission against pre-defined carrier appetites, returning instant confirmation of available follow capacity.

How algorithmic matching works

Data ingestion and structuring

The foundation of any smart trading platform is its ability to turn unstructured information into structured, actionable data. In the London market, submissions arrive as emails, SOVs (Schedules of Values), and PDFs.

AI-powered ingestion tools now extract and organize this information automatically. But as Harrap emphasized, the technology alone is not enough. You still need to know how to structure that data for insurance-specific purposes. InsurX spent four years building data models focused on understanding how to represent insurance risk in a structured format. That data model is the intellectual core of the platform.

The matching engine

Once submissions are structured, they flow into a matching engine that operates in real time, comparing structured risk data against the appetites, parameters, and capacity limits defined by participating insurers. Currently, 25 insurers deploy smart follow capacity through the InsurX matching engine. When a broker submits a risk that has already secured lead terms, the engine identifies which carriers have appetite for that specific risk profile and returns confirmation instantly.

Binding and reporting

Smart trading platforms replace traditional monthly reporting cycles with a live-time reporting environment. This shift from static to dynamic portfolio management gives underwriting teams the visibility to adjust appetite and capacity in near real time rather than reacting to stale data weeks after the fact.

Key benefits of smart insurance trading

Benefits for insurers

The most immediate gain for insurers is the elimination of manual data handling. Every step of the slow follow model, from receiving individual submissions to re-keying SOV data into policy administration systems, consumes time and headcount.

As Harrap put it on the podcast: "All the rest of it is just process to make that great decision happen. Freeing up so much resource to actually then focus on making better decisions."

The financial impact is direct. Lower manual processing means a reduced expense ratio. Resources that previously went to administrative tasks get redirected toward better underwriting decisions and better portfolio decisions. Early adopters are already writing significant new premium at improved profitability because the cost of processing each risk has dropped substantially.

Benefits for brokers

For brokers, clients no longer wait 2-4 weeks for confirmation that follow capacity exists. Same-day responses replace the old cycle of emails, phone calls, and in-person meetings. Brokers using algorithmic matching platforms can close placements faster, win new business on the strength of their responsiveness, and spend their time on higher-value client advisory work rather than chasing capacity.

Platforms and approaches in the market

Three distinct approaches are emerging, each offering instant capacity confirmation once lead terms are set. The first is the algorithmic smart follow model, exemplified by InsurX, where submissions are matched against carrier appetites through a real-time matching engine. The second is the tracker facility model, backed by underlying treaties that deploy follow capacity at scale. The third is broker-built facilities that incorporate algorithmic trading, blending the first two approaches by layering matching technology on top of broker-constructed capacity frameworks.

None of these approaches replace the London market's syndication model, where a leader sets the price and followers support it. They accelerate it.

Challenges and considerations

Building effective data models for insurance is hard. Technology alone cannot solve the problem. InsurX spent four years focused on understanding how to model insurance data before the matching engine could work reliably. The domain expertise required to structure risk submissions, carrier appetites, and policy terms into a coherent data model is substantial and easily underestimated.

Cultural adoption presents an equally real barrier. COVID-19 forced the London market to operate remotely for two years, revealing how inefficient existing workflows were without face-to-face placement. That period galvanized appetite for digital alternatives. Still, successful adoption requires making people's lives better today, not promising future benefits. Harrap was direct about this lesson: if the platform does not deliver immediate value to the underwriter or broker using it, adoption stalls regardless of how compelling the long-term vision might be. Any solution must also slot into existing broker-underwriter relationships without disrupting them.

The future of smart insurance trading

International expansion

Smart follow is already moving beyond the London market. Harrap cited a live example: Gallagher brokers in South American countries now access London capacity through InsurX technology. This international vector will likely accelerate as more carriers deploy algorithmic follow capacity and more brokers recognize the efficiency gains available through platform-based placement.

Beyond follow capacity

The longer-term vision extends well past smart follow. Harrap described the evolution toward smart trading, a broader concept that includes lead business, 100% placed business, and delegated authority structures. The London market currently writes roughly $140 billion in premium, and Harrap's view is that the market could reach $260 billion or more without adding people, simply by removing duplicated effort.

Product innovation and the coverage gap

Perhaps the most compelling long-term benefit is what happens when underwriters have time to think. When administrative processing no longer fills the day, underwriting teams can specialize in niches, develop new products for underinsured risks, and address the coverage gap that persists across multiple lines.

As Harrap noted: "Suddenly we're now freeing up capacity to be able to solve those thorny problems that if we can solve them, actually have massive benefits to the broad society."

Getting started

McKinsey research has consistently identified operational friction in placement workflows as one of the largest addressable cost drivers in commercial insurance. The opportunity Harrap described is clear: the London market could nearly double its premium volume without adding headcount, but only if the industry removes the duplicated manual effort that currently consumes underwriting resources. For insurers, the entry point is evaluating how smart follow capacity deployment can reduce expense ratios and redirect underwriting resources toward better risk selection. For brokers, high-volume follow placements where instant capacity matching provides the greatest efficiency gains are natural starting points.

To hear Gilbert Harrap, CEO of InsurX, discuss the full vision for smart insurance trading, from algorithmic matching to international expansion and closing the coverage gap, listen to the full conversation on the Underwriting Intelligence Podcast.

Explore how hyperexponential helps insurers build the structured, data-driven pricing foundation that algorithmic trading requires.