A Bermuda-based reinsurer had grown successfully over several years, but their operational infrastructure hadn’t kept pace. Data was scattered across disconnected systems. Critical processes lived in spreadsheets that only one or two people understood. Settlement required days of manual reconciliation. Regulatory reporting was a quarterly scramble.
They weren’t in crisis - everything functioned. But the cracks were becoming visible. It was becoming clear how much institutional knowledge sat with specific individuals rather than in systems. Month-end close was stretching longer with each new book. And leadership knew they needed to deploy AI to remain competitive, but every conversation about AI tooling ran into the same wall: the data wasn’t ready.
The firm needed more than a point solution. They needed to rebuild their operations from the ground up - without disrupting the business that was running on them.
What we did
We started by mapping the actual state of their operations. Not the process documents - the reality. How data actually moved between systems, where manual interventions happened, which processes depended on specific individuals, and where errors were most likely to occur. We identified the critical path: the workflows that had to work for everything else to matter.
From there, we architected a unified data layer with structured interfaces between actuarial, finance, risk, and investment systems. We designed standardised data contracts - consistent formats for key data elements flowing between systems. We prioritised: settlement processing first (highest pain, clearest ROI), then regulatory reporting, then broader automation.
Then we built in layers, delivering value at each stage. Settlement automation went live early - immediate impact, visible to the whole organisation. Automated data pipelines followed. Validation and quality scoring came next. Once the foundation was solid enough, we deployed the first AI tools: anomaly detection on incoming data and natural language querying for the finance team.
Why it matters
Most firms try to solve operational problems one at a time - a settlement tool here, a reporting dashboard there. The result is a patchwork that creates new integration challenges. The end-to-end approach builds a platform where every improvement makes the next one easier and every new capability strengthens existing ones. The data layer becomes the competitive advantage.