By Gabriel Warren, Head of Underwriting Intelligence, NPRe Advisory
I’m Gabriel Warren at NPRE Advisory. We design, build and scale operational infrastructure for global reinsurance and delegated authority. As Head of Underwriting Intelligence, I advise NPRE on data strategy, progressive technological integration, and continuous adaptation. I focus on applying AI to bring consistency and intelligence to the diverse operations of DA and RI.
Innovation only matters if it improves outcomes for clients.
This statement drives our investment and commitment to how we scale our technology. At NPRe, we’re not about following trends or marketing. Instead, our focus is on strengthening relationships and enabling our clients’ success.
As we celebrate our 10-year anniversary, we have taken an in-depth review of our technology stack to see how we can improve client support as we embark on NPRe’s next decade.
Read on to find out what our review revealed, the challenges we tackled and the positive outcomes for our team and clients.
The problem we solved
Over recent years, NPRe has broadened its reach regarding territories and markets. As our global portfolio expands, so have the volumes of unstructured data we manage, such as:
- Reinsurance treaties and their endorsements
- Complex underwriting submissions and presentations
- Interweaving operational flows – from claim notifications through credit control to client relationship management
- Statements and bordereaux received in multiple formats and layouts across an increasingly diverse distributor network
Extracting and verifying this information requires significant manual effort, especially in a growing business. While we preserved accuracy, the process of managing this growing volume of information created three core challenges:
- Slower turnaround times
Manual review of contracts and documentation lengthened onboarding and contract certainty timelines.
- Operational bottlenecks
Highly skilled analysts were spending valuable time on administrative data extraction instead of where their talents really lie – in analysis and strategic reviews.
- Increased risk of human error
Our teams pride themselves on how thorough they are, but as the data volume grew, so did the risk of human error.
These challenges are not unique to NPRe. They are commonplace in any busy operations environment, but the difference lies in how a company adapts to them.
What’s changed?
We embraced AI, and it’s had a significant impact on the way we process information and operate on a day-to-day basis.
AI is now an integral part of a company’s technology stack, and NPRe is no exception. We have integrated Large Language Models (LLMs) into our operations to weed out practical challenges that cedents, MGAs, captives and brokers experience every day, often without visibility into the operational strain behind the scenes.
By deploying LLMs within a controlled, cross-checked framework, we transformed how unstructured information evolves into actionable relational data through our business.
The result for clients has been well-received alongside easing workflows for employees. This new software has led to:
Faster contract certainty: Treaties, TOBAs and agreements are processed more quickly and accurately, reducing friction at the onboarding and renewal stages.
Greater responsiveness: Accounting queries and contract clarifications can be resolved in minutes rather than hours.
Consistent & accessible data: Uniform data extraction reduces variability and ensures structured, clean records across agreements.
More attention where it matters – supporting clients: Because our team spends less time on manual extraction and administrative tasks, they can devote more time to analysis, solutions and face-to-face time with clients.
How this makes NPRe a better partner
A leaner, more scalable operation
We can support a broader and more diverse client base without increasing administrative overhead. This allows us to grow alongside our cedents, MGAs, and captives so everyone can reach their full potential.
Flexible client engagement
Clients can continue using familiar communication methods – such as email – rather than adapting to rigid technical integration requirements. It was important for us to cater to client needs rather than have them adapt to meet ours. Relationships are first and foremost our priority and any innovation must support this key NPRe value, not threaten it.
Relationship-first claims handling
Undoubtedly, there are some tasks where AI is unable to replace the human touch. One such task is the handling of claims. Claims require judgement, empathy and trust. By using AI to streamline operations instead, we free up time and resources now dedicated to protecting the care and sensitivity needed in the claims process to protect what matters most during these critical moments.
Built-in safeguards
Our dual-layer AI cross-checking and manual review triggers ensure that automation support data integrity and accuracy.
Solving today’s challenges while preparing for tomorrow’s
The insurance industry faces increasing data complexity amid a shortage of emerging operational talent. By embedding adaptable AI architecture now, NPRe is:
- Future-proofing operational resilience
- Attracting digitally fluent professionals
- Positioning itself to scale with market complexity
We have moved beyond traditional API-dependent systems that require rigid programming and constant maintenance. Instead, our AI framework adapts to changing formats, new jurisdictions and evolving portfolio structures.
The Bottom Line
Operational excellence directly affects a client’s experience, so where we can use technology, and specifically AI, to positively impact this, we should (and do). For clients, this means:
- Faster answers
- Cleaner documentation
- Reduced friction
- Greater certainty
Most importantly, AI and technology have not changed who we are and what we stand for. Implementing new technology has strengthened how we deliver, allowing us to dedicate even more resources to helping our relationships and our clients thrive.