Relation bets on small teams and AI to build 10-practice specialty platform

In a soft market, underwriter relationships matter less - Relation is building its specialty platform on expertise and AI precisely because of that shift

Relation bets on small teams and AI to build 10-practice specialty platform

Transformation

By Gia Snape

Relation Insurance Services is building a 10-practice specialty platform that combines small teams of experienced specialists with proprietary artificial intelligence tools designed to accelerate advice, placement and quoting.

The brokerage has established capabilities in entertainment, aviation and financial lines, with further investment planned across transportation, surety, real estate, construction and hospitality, healthcare, fine arts and niche programs.

Douglas Turk (pictured), president of specialty at Relation, spoke to Insurance Business about the rollout. He said specialty businesses can generate "roughly twice the revenue of core property and casualty operations," while offering stronger retention when brokers can demonstrate deep expertise and address complex client needs.

At the same time, the current market cycle is directly influencing how the company is carrying out that strategy. “In a hard market, success often depends on underwriter relationships and creative pricing structures,” Turk said. “In today's softer market, that's less important. The focus shifts toward expertise.”

Softer conditions put expertise and coverage design in focus

Outside of a limited number of challenging areas, including casualty, much of the specialty market has remained stable or competitive. For Turk, that environment gives brokerages an opportunity to demonstrate value through coverage design, policy language and detailed analysis of a client’s exposures.

This can take different forms across Relation’s targeted specialties. In real estate, he said, it may involve reviewing valuations and catastrophe exposure across an entire portfolio. In financial lines, it requires close scrutiny of contract language and the tailoring of policy wording. Cyber and property placements increasingly demand broader portfolio analysis and a stronger understanding of risk management.

Relation made a deliberate decision about a year ago to invest in specialty, which Turk defines as industry-focused products and programs built around clearly identifiable customer groups, specialist brokers and dedicated insurance markets.

The strategy began with the acquisition of the Albert G. Rubin entertainment business from Aon. Relation then expanded into aviation and financial lines, including D&O, E&O, private equity, representations and warranties, and tax insurance.

The brokerage recently hired Matthew Schott to lead management and financial lines, alongside Kevin Smith in management and financial lines, Courtney Maugé in cyber risk, Jonathan Franznick in claims advocacy, and Scott Moseley in private equity risk.

AI helps distribute specialist knowledge across the brokerage

One thing he noted is that Relation is distinguishing itself from competitors by avoiding a volume-driven expansion in favor of smaller teams with deep technical knowledge.

“We're being very methodical and very deliberate,” said Turk. “We believe a smaller group of exceptional people can make a significant impact by remaining highly focused.”

At the same time, the brokerage is using technology to distribute that expertise more widely across its approximately 1,500 employees. It is developing specialty advisory agents through its internally built Relation GPT platform.

“Today, producers often have to search for information themselves, contact specialists, schedule meetings and then go back to the client,” said Turk. With the advisory agents, that process is compressed into a single guided conversation: “The system gathers information automatically. At the end of the conversation, it can either submit smaller risks directly to a carrier panel for automated quoting or connect the producer with one of our specialists. The specialist already receives a summary of the conversation, and the system has already rated the risk.”

Turk touted the development as having “dramatically shortened that advisory process” while “producing a better outcome for clients.”

With three practices launched and seven more planned, each requiring the same combination of senior talent and technology buildout, the harder test is still ahead. The cycle-specific logic that makes the small-team-plus-AI model attractive in a soft market - expertise depth accumulates while relationship capital is more easily replicated - is also the logic that would make it durable when conditions harden again. Whether Relation can execute that buildout across 10 distinct specialty verticals without the volume that funds it at larger competitors is the question the next phase of the platform will answer.

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