Meshed Targets Mid-Market with AI-Driven Brokerage and a 10% Flat Commission

Why Meshed Is Offering a 10% Flat Commission

Meshed, a London-based commercial insurance broker, has entered the market with a simple promise: a flat 10% commission on all policies, far below the typical 20–40% that many traditional brokers charge. The company was founded by Vincent Liu, a mathematics and computer science graduate of Imperial College who previously worked at Acturis, the UK’s largest broker software house, before moving through several tech startups. Alongside co-founders with deep insurance product and broking experience, Liu built Meshed to attack the cost and friction embedded in the mid-market segment.

The target is businesses with annual revenues between £1 million and £30 million—a segment that sits awkwardly between consumer-style price-comparison websites and the bespoke, high-touch service offered to large corporates. Liu argues that below £1 million, commercial insurance is essentially commoditised, but above that threshold underwriters ask tailored questions with no uniform template, making the process expensive and slow. Meshed’s answer is an AI system, internally called Rocky, that can parse unstructured underwriting data, extract relevant risks, and push real-time updates to clients through a web portal.

The entire technology stack is built in-house, a deliberate choice to avoid the gravitational pull of legacy platforms like Acturis, which Liu says lock users in and make AI integration prohibitively hard. Clients can connect their accounting software to Meshed, enabling the platform to monitor transactions in real time and flag when cover limits may need adjustment—a capability traditional annual-renewal broking cannot easily replicate. The company currently employs just six people, with a lean culture that includes monthly hackathons and encourages every team member to experiment with AI tools.

Commission savings are the headline, but Meshed also positions customer experience as central. Instead of delivering a bundle of documents at the end of a renewal, the platform shows every insurer response as it arrives, processed by AI and visible immediately. Liu says the model relies on a human review layer for all consequential outputs, a safeguard that he believes satisfies regulatory requirements without sacrificing the efficiency that makes the 10% fee viable.

Closing the Mid-Market Gap with AI and In-House Tech

The Underserved Mid-Market

Meshed’s bet is that a structural gap exists in commercial insurance. Digital brokers like Simply Business have effectively served sole traders and micro-firms with instant-quote technology, but Liu contends that companies above £1 million in revenue remain stuck in a world of phone calls, emails, and high commissions. No existing broker, in his view, has built a scalable tech solution for that segment. By focusing on firms with up to £30 million in turnover, Meshed aims to capture a client base that is large enough to generate meaningful premiums yet small enough to be overlooked by the largest brokers’ bespoke operations.

How AI Handles Unstructured Underwriting

The mid-market is precisely the space where underwriting questions become non-standard. One manufacturer’s operational risks differ fundamentally from another’s, so there is no universal template. Liu’s insight is that this lack of structure is itself a data problem AI can solve. Rocky, Meshed’s proprietary system, ingests the varied questionnaires and responses, extracts the relevant risk data, and structures it for comparison and quotation. The real-time accounting feed further enriches the picture, identifying risk exposures—such as a sudden change in inventory value or a new equipment purchase—that the client might not have reported.

Escaping Legacy Gravity

The decision to build everything from scratch is both a practical and strategic one. Liu’s time at Acturis informed his view that established broker platforms are designed to keep data inside a closed ecosystem, making external AI applications nearly impossible. By owning the entire stack, Meshed can design workflows around what the client should see at each stage, rather than retrofitting a better experience onto a system built for internal brokerage efficiency. The cost is a heavy upfront engineering investment, but the company’s six-person team is organised more like a collection of startups than a traditional broker, with technology at its core.

Regulatory Safeguards Through Human Oversight

AI in financial services draws regulatory attention, and Liu is open about the safeguards. Every AI-generated output—whether a risk flag, a document summary, or a client communication—is reviewed by a human before it reaches a customer or insurer. The AI handles volume, but the final check remains manual. This human-in-the-loop model is designed to meet conduct-of-business requirements while keeping costs low enough to sustain the 10% commission. The approach also limits reputational risk from an unsupervised error, though it remains a constraint on how fast the platform can scale without adding headcount.

What the Meshed Model Means for Businesses and Brokers

For mid-market businesses:

• Assess commission savings: If you are currently paying 20–40% commission on commercial policies, a flat 10% could save tens of thousands of pounds on a six-figure premium. Request a breakdown from your current broker to quantify the gap.
• Evaluate data-sharing readiness: Meshed’s real-time monitoring depends on connecting your accounting system (e.g., Xero). The tangible benefit is earlier detection of underinsurance, but it requires willingness to share continuous financial data with a broker.
• Cyber risk scan: Even if you don’t switch brokers, Meshed offers a complimentary cyber scan that identifies network vulnerabilities and provides remediation advice—a concrete, no-cost step to reduce exposure.

For brokers and competitors:

• Commission transparency will become a differentiator: Meshed’s public 10% rate, backed by AI efficiency claims, may accelerate client demand for clear fee breakdowns. Incumbents that cannot explain or reduce their charges risk losing the most cost-sensitive mid-market clients.
• Legacy platform lock-in is a vulnerability: Liu’s critique of closed systems resonates with firms that have tried and failed to integrate AI. Brokers still tied to older platforms face a growing competitive gap, and the Meshed example underscores the speed advantage of a greenfield build.
• Partnership models are shifting: Rather than paying referral commissions, Meshed gives accountants and solicitors technology to assess client risks directly. A partner who prefers a tool to a kickback signals a market ready for deeper, tech-led relationships, which could undermine the traditional introducer model.