Oracle Fusion work that outgrew spreadsheets.
Cost discipline and the careful management of physical assets are always central to TTX’s strategy. The finance organization therefore needed automation that could respect the nuance of Oracle Fusion processes while materially reducing manual effort.
Before Kognitos, the Asset Disposal team reviewed scrap weight tickets by hand each day and keyed values into Excel one at a time. Lease invoices arrived from lessors via email and were manually entered into Oracle Fusion for payment—sometimes with same-day deadlines. The wide variety of document layouts and payment rules made legacy RPA brittle: every change required developer time that never quite kept up.
- Resolve the manual scrap weight ticket review bottleneck
- Shorten end-to-end business cycle time for finance workflows
- Handle diverse document and invoice formats without endless rewrites
English as Code. Straight through to Oracle Fusion.
Enhancing asset and invoice processes
Kognitos automated the scrap weight ticket path by extracting ticket contents into a workbook finance can validate in minutes, then feeding the validated data into Oracle Fusion as the next controlled step. That combination removes hours of repetitive entry while keeping humans in the loop where policy requires it.
For lease invoices, the platform now reads the attachments that arrive from each lessor, applies the right business rules, and prepares Fusion-ready records. Because variability was the blocker for RPA, English-described logic—paired with deterministic execution—became the practical way to automate work finance had written off as “too exception heavy.”
From repetitive entry to compounding wins
With the first two flows in production, TTX’s finance team can extend governed automation to additional Oracle Fusion processes the same way: business users describe the rules in English, Kognitos executes deterministically, and every run leaves an audit trail. Maintenance becomes a fraction of what legacy RPA demanded, and time-to-production for new workflows drops dramatically.