Provectus

The newest specialty MGAs design their underwriting practice around AI and AI agents from the first day of trading, instead of adding it to legacy workflows later. Kinetic Insurance Services is a clear example. Convex Group launched it as a UK-based MGA for large, complex, and middle-market specialty risks, with a technology-led underwriting model built in from the start. What does it mean in practice? Underwriters work from data that is already captured, normalised, and triaged, with real-time exposure and cat monitoring in view when they quote. The platform's AI assembles the data. Underwriters weigh the risk. For the specialty market, this changes how a new book gets built. It also raises the bar on the build, because AI-native only works if the AI fits how underwriting is actually done. That is why Kinetic's MGA was delivered by Provectus, an AI systems integrator with deep specialty underwriting expertise, who built and integrated the platform's agentic AI capabilities based on its Submission Flow blueprint. Designing an MGA around agentic AI, too? Here's how, in Submission Flow. Read more👇

Building the agentic AI platform for Kinetic Insurance Services. Most AI underwriting solutions are built by people who know AI or people who know underwriting. The MGA platform for Kinetic Insurance Services combines both. Kinetic is a new division of Convex Group, a UK-based MGA writing large, complex, and middle-market specialty risks, built to run on a technology-led underwriting model from day one. Provectus, an AI systems integrator, designed, built, and integrated the platform’s agentic AI features (grounded in the Submission Flow blueprint) to transform specialty underwriting. What Kinetic's platform does: 🔸 API-connected data capture with multi-format ingestion and extraction 🔸 Data normalisation into the OASIS Open Exposure Data standard 🔸 Appetite-based submission triage and routing 🔸 AI-powered risk profiling and structuring 🔸 An underwriting workbench with built-in authority controls 🔸 Quote and bind, with real-time exposure and cat monitoring It pulls in real-time data and gives underwriters a fuller view of each risk at the point of quotation. Read more👇

AI works in underwriting when the process around the model also works. While making AI look good on one clean submission is easy, everything else is hard: 🔸 Submissions that don't follow a template 🔸 Rules about who can bind what and how 🔸 Records that are clear enough for a regulator or a senior underwriter to trace all across the workflow Building a solution that works – the underwriting platform behind Kinetic Insurance Services, the specialty MGA from Convex Group – required a deep understanding of how a specialty submission moves, where authority sits, and what an underwriter needs to see to act. It also required deep technology expertise that Provectus, an AI systems integrator, brought in. Based on its Submission Flow blueprint, Provectus built and integrated AI agents, powered by Anthropic's Claude models on AWS, to do the reading, extraction, and risk profiling. Production AI underwriting has to get a few things right, and underwriting knowledge is what tells you what they are: 🔸 It reads messy, multi-format submissions, not only clean ones 🔸 Authority controls live in the workbench, setting who can bind what 🔸 The AI agents sort and structure, and the underwriter keeps the decision Provectus has been doing AI integration for 15+ years, and making that expertise fit specialty underwriting was the key to success. Explore the agent architecture behind the AI underwriting platform, in Submission. Read more👇

McKinsey puts 30 to 40% of an underwriter's time on administrative work: rekeying data, running manual checks. For a specialty MGA competing on speed, that is time taken from the decision only an underwriter can make. Provectus, an AI systems integrator, built an underwriting platform that does that work with agentic AI. It runs behind Kinetic Insurance Services, the specialty MGA from Convex Group, extracting submission data, normalising it, and triaging by appetite before an underwriter opens the file. The MGA platform works because of how it was built: a combination of deep specialty insurance expertise, robust architectural foundation, and the agentic AI components on top, powered by Anthropic's Claude models on AWS. The blueprint behind the platform is Submission Flow, the Provectus approach to putting AI at the front of underwriting for carriers and MGAs. Ready to build? Submission Flow is where to start. Read more👇

Every new MGA competes on two things: how fast it can quote, and how well it picks risk. Both are decided before the underwriter makes a call, in the reading and checking of every submission. That is where an MGA loses time. Data spread across PDFs and emails, appetite checks, missing fields chased by hand. It stacks up ahead of the decision that actually needs an underwriter. On Kinetic Insurance Services, the new MGA from Convex Group, that work runs on the AI underwriting platform. It can capture and extract submission data, normalise it, and triage by appetite, so an underwriter opens a submission that is already accurately and consistently sorted and sees more of them in a day. Provectus, an AI systems integrator, built the platform to transform specialty underwriting. Integrating the agentic AI components from the Submission Flow blueprint, Provectus made sure they fit the work, the process, and the workflows. The business case for an MGA is plain: 🔸 More submissions seen 🔸 Faster quotes 🔸 Underwriters spending their hours on selection and pricing See what Submission Flow does to an MGA's quote times 👇

The launch of the GenAI Life Sciences Hub, together with AWS and CIO.com, is a chance for Provectus to share stories, insights, and solutions that matter. The same idea connects them all: generative AI is no longer a tool of convenience – it is a must-have technology, already shaping how life sciences organizations work, innovate, and deliver therapies to patients. Provectus is excited to take part in this dialogue and we continue to explore what comes next, together with our clients and partners. Explore the Hub here: https://lnkd.in/ejD9kZ9b