Some insights here from Hanré Cillié, Regional Vice President, Insurance Growth and Compliance at nCino.
Insurance has always been about the delivery of human-centric solutions; the art of understanding what’s unique about an individual, a business, or an asset, and pricing, placing, and protecting it accordingly. Yet for decades, most products brought to market have been defined by broad categorisations, standardised assumptions, and one-size-fits-all style logic.
Agentic AI is now changing the status quo in the most dynamic way possible, delivering the opportunity to build genuinely bespoke products at scale, in real time, with embedded compliance, and at a speed not previously seen.
The elephant in the room is still legacy
Traditional insurance product development has long been defined by constraints. Siloed data architectures mean that risk signals from claims, financial data, market intelligence, and client behaviour all sit in disconnected systems, never combining into a single view of the truth.
Actuarial and compliance review cycles that made sense for an annual product refresh are no longer fit for purpose in an uncertain world where risks evolve and needs change in real time. Likewise, lengthy, manual product development processes create time-to-market cycles measured in months rather than days, meaning that a moment is lost, an evolving risk goes unaddressed, and a client goes underserved because their profile doesn’t fit neatly into standard product categories.
Seizing the Agentic AI opportunity requires the right foundation. Without a modern, connected infrastructure, AI agents are constrained by the same siloed data, fragmented workflows, and brittle processes. To create bespoke insurance products, insurers need a unified platform that breaks down data silos, streamlines product development workflows, and creates the connected environment in which both humans and AI Agents can operate at their full potential.
What can Agentic AI actually deliver today?
Agentic AI represents a significant shift from the AI tools the insurance industry has been experimenting with so far. Where earlier applications surface insights or flag anomalies, Agentic AI orchestrates entire workflows. Gathering data from multiple sources, making contextual decisions, executing actions, and learning from outcomes.
In terms of product creation, this means simultaneously ingesting client data, financial signals, sector exposure, loss ratios, and behavioural indicators, as well as regulatory changes, market conditions, and emerging risks. Then, applying underwriting logic and compliance rules to construct tailored products that expand the boundaries of what’s insurable and develop commercially viable cover for underserved or emerging risk profiles at both speed and scale.
Speed, compliance, and competitive advantage are all up for grabs
The most immediately tangible impact of Agentic AI in insurance product development is the compression of time-to-market. When product logic, underwriting rules, and compliance checks are automated and embedded into a single orchestrated workflow, products that would once have taken months to bring to market can be developed and launched in days.
This isn’t simply an operational efficiency benefit; it’s a competitive one. Especially right now, when soft market conditions make differentiation increasingly difficult to achieve through price alone. The ability to respond faster to emerging risks, to reach underserved segments ahead of competitors, and to offer products genuinely tailored to client needs becomes a powerful asset. Those who move first will strengthen relationships with clients, carriers, and distribution partners. What’s more, where compliance was once a constraint, with Agentic AI it’s now a built-in advantage. With regulatory requirements from FCA Consumer Duty obligations to Solvency II product governance standards embedded, every product is compliant by design. With audit trails generated automatically, fair value assessments continuous rather than periodic, and the risk of manual inconsistency eliminated, the compliance burden that once acted as an inhibitor of innovation becomes a foundation for it.
The human-in-the-loop imperative is crucial to Agentic success
None of this means removing human expertise from the product development process. The most effective model is one of augmentation, not replacement, with Agentic AI handling the data-intensive, rules-based complexity so that human judgment remains at the forefront of decision-making.
Think of a model in which AI constructs and proposes bespoke product logic, whilst preserving and augmenting the actuarial and technical expertise that has always defined the development, execution, and delivery of the best insurance solutions.
Ready to grasp the Agentic AI opportunity and reshape insurance product creation?
The convergence of Agentic AI capability, increasingly rich data availability, and growing regulatory appetite for outcome-focused rather than process-focused products has created a genuine inflexion point for insurance product development. The technology to build genuinely bespoke products at scale, at speed, and with compliance embedded by design already exists. Those who respond will shape the next era of differentiation, where product creation will be defined not by the breadth of a product suite but by the precision with which risks are understood and served. Those insurers are the ones with the right Agentic AI foundation, the right human in the loop governance model, and the right appetite for genuine innovation
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