Case Studies
Building a Smarter Insurance Platform: UX, Data and AI in Action
How we reimagined Atradius Insights to deliver valuable data to their biggest customers faster than ever
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How we reimagined Atradius Insights to deliver valuable data to their biggest customers faster than ever
Atradius’ Insights platform was intended to provide clients and brokers with powerful visibility into credit exposure, policy decisions, and portfolio trends. Over time, however, the platform had become a bottleneck.
The Oracle ADF frontend and Exadata backend were end-of-life, presenting a defined risk to Atradius, as well as usability issues for their customers. Large enterprise clients, like DSV, were unable to run critical reports. The system would timeout after more than 10 minutes, meaning they couldn’t perform portfolio-wide analysis, creating a gap in their data and reporting. Coupled with slow load times, an outdated UX and UI, and disconnected workflows meant that Atradius’ clients weren’t able to make data-informed decisions.
At a time when customers expected real-time answers and smarter tools, Insights wasn’t delivering. Whilst a big challenge to overcome, the opportunity was clear.
Developed an AI-powered search proof of concept (POC) where users can search in natural language: “Show me claims in the 6 months after the Suez Canal incident.” AI parses the intent and applies contextual filters automatically.
Enabled infrastructure to support predictive analytics, including risk trend modelling and generating six-month portfolio forecasts based on four years of user and sector data.
Atradius now has a platform capable of powering GenAI services like intelligent alerts, conversational insight, and embedded portfolio recommendation.
We shifted the lens from “make it look better” to “make it work, intelligently and at scale.” The numbers tell the story.
Most importantly, enterprise clients who previously abandoned the platform are now using it daily to inform risk decisions, with 8 out of 10 users reporting Insights data is informing their decision making.
Before: 10 mins (timeout for large portfolios)
After: <5 seconds, even for 20 years of data
Before: ~100 daily users
After: 1,000+ daily users
Before: Not possible
After: POC live, predictive models supported
Before: Limited to basic exports
After: Full PDF and CSV sharing, internal + external collaboration
Before: Fragmented
After: Integrated with Atrium servicing workflows
Most importantly, enterprise clients who previously abandoned the platform are now using it daily to inform risk decisions, with 8 out of 10 users reporting Insights data is informing their decision making.
With legacy barriers removed and data pipelines redesigned, Atradius now has:
Supporting semantic search and predictive modelling.
To enable future deployment of GenAI assistants, recommendation engines, or summarisation bots.
A design system and UI architecture that’s modular, evolvable, and secure—ready to support multi-modal AI interfaces.
This wasn’t just about rebuilding the Insights platform, it was about increasing the value of the platform to Atradius and its customers, becoming a strategic enabler for customer intelligence.
While the human experience and design is elegant and seamless, the real innovation lies beneath, in the pipelines, performance, and intelligence it now supports.
We’ve helped Atradius break free from legacy tech that was limiting the platforms value, both to Atradius and their customers. They can now deliver value in second to their most stratigcally important clients, helping inform their decision-making. And they now have an AI foundation which is constantly evolving delivering smarter underwriting services, navigating the complexity of regulation, and driving demonstrable value.
At Griffiths Waite, this is what we do best. From defining the problem and opportunity space through to transformative delivery and execution, guided by our Intelligence Blueprint. Our proprietary method and team of experts ensure that enterprise clients don’t just adopt AI, they realise its full value, responsibly and at scale.