Mark Costello, CEO of Meshed, transforms commercial insurance by building the UK's first AI-native brokerage that eliminates manual processes while saving SMEs 25-30% on premiums through automated underwriting and flat 10% commission structures. As a second-time founder and insurance veteran who sold his previous venture in December 2023, Mark addresses the critical problem that 50-80% of commercial customers are underinsured according to major insurers like Allianz, Aviva, and AXA, creating catastrophic risk for businesses that could face ruin from reasonably-sized claims. Meshed integrates directly with customers' operating systems to monitor turnover, payroll, and headcount in real-time, creating proactive triggers that update coverage automatically rather than waiting for businesses to report changes through traditional broker relationships constrained by 9-to-5 availability that doesn't match SME operating patterns. Mark explains how the insurance market's complexity—involving 51 insurers, reinsurers, MGAs, cover holders, and Lloyd's market participants—creates unconscious and conscious bias in broker selections, where traditional brokers might earn 30-35% commission from preferred insurers versus 20% from others, while Meshed's AI eliminates these conflicts by accessing all available capacity without human bias. Having raised an oversubscribed £950,000 pre-seed round backed by Haatch, Exponential Science, Aviva via Founders Factory, and strategic angels, Mark positions the funding toward achieving product-market fit across three pillars: proving distribution partnerships with accountants who use complementary tools, perfecting AI technology that processes tickets faster daily, and building in-house underwriting capability to create additional customer and insurer value before pursuing seed funding, while noting that 80% of brokers aren't even considering AI adoption, creating massive competitive advantages for early movers who can deliver iPhone-like simplicity where customers see better outcomes and lower costs without needing to understand the underlying technology complexity.