A real-time financial analytics platform that turns raw transaction data into decisions enterprise finance teams can act on in seconds — not in next month's report.
The finance team was running a multi-billion-dollar operation out of exported spreadsheets. Data arrived from six systems on six different schedules, was reconciled by hand, and reached decision-makers as a static deck — by which point it described a business that no longer existed.
They did not need another BI tool. They needed one place where the numbers were current, trustworthy, and specific enough to act on, fast enough to use during a meeting rather than after it.
Discovery started with shadowing the analysts who lived in those spreadsheets. That week told us the real bottleneck was not visualisation — it was reconciliation. So the first thing we built was the ingestion and normalisation layer, not the UI.
A web platform where any figure can be traced from headline to source transaction in three clicks. Live cash position, working-capital trends, and per-entity drill-downs update as transactions land, with anomaly alerts pushed to the people who own each number.
It launched in phases: ingestion and reconciliation first, so the data was trusted before anyone was asked to make decisions on it, then dashboards, then alerting.
Month-end reporting stopped being an event. The analysts who used to rebuild the same spreadsheet every month now spend that time on scenario work.
Weekly sprints, a shared board, and a demo every Friday against real data. The client's own engineers reviewed every pull request, so when we handed over there was nothing to hand over — they had been in the codebase the whole time. That is how we prefer to run projects; the FAQ covers what that looks like week to week.