Case Study
How Workday is Redefining Finance with AI and Hyper-automation
An executive report highlighting how Workday leverages AI and hyper-automation to transform core accounting, spend management, and financial planning operations. Discover how next-generation artificial intelligence and automated workflows help finance leaders streamline operations, detect anomalies, and make faster, data-driven decisions.
- Topic
- IT Management
- Published
- 28 Jul 2026
Modern finance and accounting teams face increasing pressure to deliver faster results with uncompromised accuracy. Traditional, basic automation is no longer sufficient to meet complex organizational demands. As Chief Accounting Officers (CAOs) and finance leaders shift toward strategic leadership, cross-functional collaboration, and intelligent data management, hyper-automation offers a path to unprecedented efficiency and precision. By replacing manual, friction-heavy tasks with AI-driven intelligence, finance professionals can move away from routine transactional processing and focus on high-value strategic growth.
Key Highlights:
90% Transaction Automation: KPMG predicts organizations can automate up to 90% of routine transaction workflows.
15x Faster Close & Planning: Achieve financial closes and planning cycles up to 15 times faster than traditional methods.
49% Boost in FP&A Efficiency: Substantially increases FP&A productivity through ML-driven forecasting and anomaly detection.
52% Faster AP Processing: Accelerates accounts payable cycles while cutting down manual processing costs.
39% Talent Retention: Cuts top talent turnover by removing manual administrative friction from daily workflows.
Real-Time Accounting: Automatically generates accounting entries, intercompany eliminations, and translations upon transaction approval.
Predictive Bank Reconciliation: Matches bank statement lines automatically based on learned historical patterns.
71% Increase in AP Capacity: Supplier invoice automation uploads, scans, and routes invoices touchlessly.
50% Reduction in Cash Application Time: AI-driven payment matching connects incoming funds directly to open customer invoices.
83% Reduction in Collection Letter Draft Time: Cuts time spent drafting customized collections emails from 30 minutes down to five minutes.
7,500 Hours Saved on Expenses: Digitizes receipts directly in collaboration channels (Slack, Microsoft Teams) to save thousands of processing hours.
Conversational FP&A: Enables finance teams to query complex financial data and retrieve context-aware recommendations using natural language.