hyperexponential

One year ago today, I joined hyperexponential. The people, culture, remit all mattered. But this was also a thesis-driven bet: if any kind of work was well suited for AI agents, commercial P&C underwriting was one. AI helps with a lot of everyday things. But a full agentic transformation only makes sense when the work is high-stakes, complex, and, at the same time, governable. Underwriting is all three. 📈 The stakes are obvious. Even a slightly better underwriting decision can move loss ratios, retention, and profitability in a big way. In a market with roughly $1 trillion in global commercial P&C premium, small improvements compound quickly. 🧩 The work is genuinely complex. Commercial underwriting is not an “if this, then that” logistics problem. Every account brings its own mix of business risks, pricing tradeoffs, and portfolio considerations. The numbers matter, but they only tell part of the story. Meanwhile, speed to decision is critical. Slow answers lose business. 🛡️ And at the same time, the work can be governed. Insurance carriers have spent decades building rules around underwriting to control risk. The opportunity now is to apply those same controls to agents. Sure, a lot easier said than done 🙂 Nothing about portfolio strategy, compliance rules, audit trails, pricing logic, authority thresholds, or the underwriting context scattered across systems, workflows, and institutional judgment comes out of the box when you plug in an AI model. That was the second part of the thesis. If agents are going to do meaningful underwriting work one day, they have to be built into the real machinery of underwriting: the data, rules, models, controls, and decision history that carriers already use to run the business. That’s where hyperexponential comes in. The company has spent years helping carriers encode underwriting logic, controls, and judgment into production workflows, with $60+ billion in premium already running through the platform. One year in, I’ve more confidence in this thesis than ever.

Governance and speed aren't a trade-off in pricing. They're an architecture decision. We are proud to partner with Allianz Commercial as they build a standardized pricing foundation across their commercial infrastructure to help their teams move faster without compromising the governance and control standards their business demands. Thank you to Jon-Paul Jones for sharing your insight and partnership with hx. Read the full announcement: https://lnkd.in/e-pbArFJ

AI-native carriers are changing how fast they can quote, how much they see when they do, and how quickly they learn from the outcome. On July 24, Christopher B., Partner at Elixirr, and Richard Gunn, President at hyperexponential, will share insights into what those carriers actually did at the operating-model level, and the two specific decisions any underwriting or operations leader at a US specialty or commercial carrier should redesign first. 9:30am EST / 2:30pm BST. Online virtual event. Reserve your spot: https://lnkd.in/emkE4qQP Can't make it live? Register and we'll send the recording.

We're proud to share that hyperexponential has been deployed across Allianz Commercial's priority lines of business as part of a multi-year pricing and underwriting transformation. Working with their teams, we've delivered 13 pricing tools in 13 weeks across their core lines of business. Allianz Commercial sits at the center of one of the most dynamic specialty markets in the world. Their decision to standardize on the hx platform and embed it across their commercial infrastructure represents one of the most ambitious pricing transformation programs in the sector. "Speed and precision in pricing are critical to our competitive position in this dynamic and truly international market. Partnering with hyperexponential has given us the platform and agility to take control of our pricing tools, iterate rapidly, and respond to customers and market conditions with confidence." — Tim Pitt, Chief Pricing and Portfolio Officer, Allianz Commercial Read the full announcement: https://lnkd.in/e-pbArFJ

The people shaping how commercial P&C teams price, underwrite, and steer portfolios in 2026. hx Live London. July 8. Swipe to see who's joining us → Registration link in the comments.

Rate reviews happen in spreadsheets. Model validation lives in scripts. Portfolio impact - if it gets tested at all - covers a fraction of the book.   Portfolio Intelligence brings batch rating and impact analysis directly into Pricing & Rating. Actuaries re-rate entire books on updated models and see what changed - at policy and portfolio level - in minutes.   What changes: → Rate reviews cover the full book, not a sample → Dislocation analysis surfaces where rates shifted and by how much → Portfolio steering becomes a shared view from pricing to leadership   Before: partial coverage, weeks of manual work, portfolio steering as an adhoc exercise. After: full book re-rates in minutes, real-time visibility, evidence-based steering as a continuous practice.   See how it works: https://lnkd.in/ezxvXdZC

By 2028, top-quartile carriers will operate with materially fewer underwriting touchpoints per policy. And the gap with everyone else won't close. That was Karlyn Carnahan's prediction in our joint session with Celent. Karlyn (Celent's Head of Insurance for North America) presented her thoughts on the state of underwriting in North American P&C carriers, alongside Jamie Wilson and Tom Clark from hx. Five takeaways for underwriting leaders: https://lnkd.in/ePWY3eFH

Everyone is talking about AI. Underwriting leaders are judged on profit. At yesterday’s InsTech event with ServiceNow in NYC, our President, Richard Gunn, moderated a conversation with Melissa McDermott, SVP, Global Chief Actuary Insurance at Everest, on what winning with AI actually looks like in practice: better risk selection, smarter capacity deployment, and stronger underwriting margin. As Melissa put it, “It’s a combination of three things: submission intake, submission triage, and pre-bind reporting. That is where you’re going to get, from a profitability side, better pricing, and from a cost perspective, expense savings on the intake and on the triage - getting to the right accounts faster.” As the AI landscape rapidly evolves, the priority for insurers remains constant: focus on where AI drives commercial impact, not just capability.

Custom UI Components (CUICs) extend the hx platform beyond its standard interface, giving you full control over the components your underwriters interact with. Our new self-paced course on hx Academy, co-authored with APR - Actuarial Solutions, walks you through Plotly visualisations, schema mapping, props, and building your own CUICs from scratch. It combines platform best practices with the practical implementation insight APR brings from real client work. Whether you are an actuarial developer building richer pricing tools, or a technical lead extending the hx platform for your team, this course is made for you. Learn more and register here: https://lnkd.in/eTU4k_q6

Most AI underwriting tools help teams move faster. Yet they still fall short on the calls that matter, because underwriting judgment depends on context: your book, your market, your appetite, and the decisions you've made and how they performed. Without that context and a feedback loop, AI systems default to broadly similar recommendations. Useful for efficiency, harder to turn into a competitive edge. Adam Ben-David, Senior Director of AI, breaks down the four key parts of agentic underwriting and why context and feedback are what turn it into an advantage. Watch Adam's full take. #InsuranceAI #Underwriting #AgenticAI