Key results
The company
Accenture
accenture.comGlobal professional services for strategy, consulting, technology, and operations.
Result highlights
- 20% of cash flow released via predictive analytics
- 300% increase in auto-clear rate
- 95% of preclose commentary generated automatically
- 90% match confidence score for ML proposals
- 90% predictive model accuracy for cash flow
The story
A global professional services firm with 774,000 employees and $65 billion in revenue manages 990,000 annual client invoices across a complex IT landscape of over 500 integrated applications.
Payment auto-clear rates languished between 0% and 25% due to rigid rules-based configurations that could not handle 1,000 diverse process variants. The manual reconciliation workload delayed the month-end close and obscured cash flow visibility.
The organization consolidated workflows onto SAP S/4HANA and deployed SAP Cash Application to automate payment matching through machine learning proposals. They implemented predictive analytics for real-time cash forecasting and an AI tool that drafts financial variance commentary for controller review. Process intelligence software now continuously maps operations against global standards to flag deviations.
Quotes
“Our finance and IT organizations worked together to transform our order-to-cash process by reengineering our cash application and treasury functions. To this end, we’re using SAP Signavio solutions, SAP Business Technology Platform, and SAP Business AI as well as several other solutions to deliver cloud-based and AI-enabled capabilities.”