Your operations team isn’t slow — they’re doing something that was never designed to be done by humans at scale: holding together a financial reality that lives in six different places simultaneously. A single pension contribution arrives through a central system, gets recorded in your core banking system, triggers a bank credit that lands in a different format, gets referenced in a regulatory report with slightly different fields, and somehow needs to match against the employer’s payroll file and the employee’s individual account — all before the next cycle begins.
That’s not a reconciliation problem. That’s five different entities, three internal systems, and two external platforms that have never once agreed on how to describe the same transaction, and your back-office team is the only thread holding them together with Excel and hope.
What makes this genuinely different from any reconciliation challenge your CFO has ever seen before is that the discrepancy isn’t in the data — it’s in the architecture: each stakeholder in the chain owns a fragment of the truth, speaks a different operational language, and has no incentive to standardize for your convenience, which means every month your team manually reconstructs a complete picture from incomplete pieces, absorbing the error rate of every handoff along the way. The operations leads who live closest to this problem already know the number — the monthly losses that don’t show up cleanly on any report because they’re distributed across settlement delays, unprocessed contributions, manual corrections, and the regulatory exposure hiding inside the gaps — but they’ve never had a tool built specifically for the multi-entity, multi-system, multi-format reality they actually operate in, because every vendor on the market was designed to match two clean data sources, not reconcile a financial ecosystem.
PUY was built for exactly this — not the clean version of the problem, but the real one: where the inputs arrive as PDFs, emails, Excel files, and API exports that all describe the same transaction differently, where the match requires understanding what a forward non-deliverable is or how a pension acreditation flows into an individual account, and where the only acceptable answer is a single reconciled truth across every data source simultaneously.
