Improving connectivity in insurance IT systems

After mapping several insurance technology vendors over the last few weeks and receiving feedback from industry veterans globally, one thing became obvious. The brokers, (re)insurers and MGAs that win over the next decade won’t necessarily have the best technology. They’ll have the best orchestration. Borrowing from a broader shift happening across enterprise software, and having experienced the evolution first-hand over the last 20 years, insurance technology has evolved in distinct phases. First, we digitised operations. We invested in policy administration, claims platforms, billing systems and customer portals. These became our Systems of Record. Then we layered intelligence on top. Analytics, machine learning, decision engines and, more recently, generative AI helped us make better decisions faster. These became our Systems of Intelligence. Now we’re entering a third era. Not another platform. Not another point solution. Not even another AI model. An era of Orchestration. The competitive advantage is shifting from individual systems to how well they work together. Imagine a property claim. An orchestration layer could receive the FNOL, verify coverage, assess fraud indicators, request satellite imagery, obtain repair estimates, notify suppliers, update the customer and involve a human at any step when judgement genuinely adds value. None of the underlying systems disappear. In fact, they become even more valuable. The difference is that they stop operating as isolated products and start acting as connected capabilities within a single intelligent workflow. That’s why I believe the next wave of insurance transformation won’t be driven by replacing core systems. It will be driven by connecting them. Looking back at the technology landscapes I’ve shared recently, I suspect we’re already seeing this shift. The organisations creating the greatest value won’t simply be those with the most AI. They’ll be the ones that orchestrate people, data and technology into seamless customer outcomes. I’d be interested to hear whether others are seeing the same trend across carriers, brokers, MGAs and the London Market.

"Insurance doesn’t have a Technology problem; it has a technology ecosystem problem." Michael Witte, CEO of EqualParts, shared this sentiment today with me. I haven't been able to shake it. We're awash in insurtech solutions: AI for underwriting blockchain for claims IoT for risk assessment and on and on. Yet, the industry often feels like it's running on isolated islands, not a cohesive, powerful continent. We're not lacking innovation. We're lacking integration. Think about it: * Data silos prevent a 360-degree customer view. * Legacy systems resist modern APIs, hindering seamless workflows. * Point solutions fail to communicate, leading to duplicated effort and missed opportunities. The real challenge isn't building more tech. It's building the bridges that connect the tech we already have. What if: * Underwriting AI could instantly access real-time IoT data? * Claims processing could be automatically triggered by blockchain-verified events? * Customer portals could seamlessly integrate with personalized risk management tools? This isn't just about efficiency. It's about unlocking the true potential of insurance to provide proactive, personalized, and truly transformative value. Let's shift our focus from individual tech solutions to building a robust, interconnected ecosystem. Let's talk about APIs, data standards, and strategic partnerships. What are your thoughts? How can we move from fragmented tech to a truly integrated insurance ecosystem? InsurTech ATX + Husch Blackwell

𝗧𝗵𝗲 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗶𝗻 𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝗶𝘀𝗻'𝘁 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻. It's architecture. And that distinction decides whether your AI investment compounds. When industry analysts discuss technology challenges in insurance brokerage, the framing is almost always about adoption. Brokers need to adopt AI. Brokers need to adopt digital tools. Brokers need to adopt modern platforms. An agency can have twelve software platforms and still need its account managers to re-key data between three of them. That's not a technology gap. That's an architecture problem. And it's a much more solvable problem than "buy more software," once it's named correctly. The architecture problem compounds in a softening market. When rates were rising and commission revenue grew automatically, the operational inefficiency was tolerable. The agency could afford the extra labor because the top line covered it. In a 3% growth environment, every manual process that could be automated but isn't becomes a direct drag on margin. Broker-carrier connectivity has become what industry analysts now call "indispensable." The agencies that can submit, quote, bind, and service digitally, with data flowing between systems without human re-entry, operate at a fundamentally different cost structure than agencies that can't. The difference isn't always visible in a hard market. It becomes decisive in a soft one. Meanwhile, compliance complexity is increasing. Fragmented state and federal regulations, AI fairness scrutiny, and cybersecurity requirements add administrative overhead that falls disproportionately on agencies with disconnected systems. The agency using connected systems absorbs new compliance requirements as configuration changes. The agency using disconnected systems absorbs them as additional labor hours. This is exactly the architecture problem we solve at Outmarket AI. We integrate with Applied Epic, AMS360, HawkSoft, and Nexsure so the AI works on top of your existing system of record, not parallel to it. Adoption isn't the bottleneck. Architecture is. And architecture is the harder, less glamorous work that decides whether your AI investment actually compounds over time. The technology conversation in insurance is more useful when it shifts from "what tools have you adopted" to "how does data move through your organization." The answer to that question predicts operational efficiency, error rates, margin trajectory, and competitive position more accurately than any software inventory. And it points toward changes that are actually within an agency's control to make.