Automation Initiatives Using Process Intelligence
Unlocking Automation Potential with Data-Driven Process Clarity
Automation promises speed, efficiency, and scale—but deciding what to automate, and where it will deliver real impact, is often guesswork. In complex environments like Accounts Payable (AP), with multiple company codes and high volumes of manual work across territories, the risk is clear: investing in the wrong areas can cause automation initiatives to stall before delivering value.
This is where process intelligence becomes essential. By analysing real operational data, organisations gain visibility into how processes truly operate and where automation can deliver the greatest impact.
FUTUROOT removes the uncertainty from automation initiatives. By connecting directly to SAP event logs, the platform transforms raw process data into a clear, fact-based roadmap. Repetitive tasks, manual inefficiencies, and hidden bottlenecks—what usually remains unseen—become visible.
With these insights, organisations can build a strong automation strategy and move confidently toward AI transformation and AI in digital transformation initiatives.
This clarity allows teams to:
- Prioritise the right automation opportunities
- Quantify ROI using operational metrics
- Reduce manual errors and accelerate operational cycles
With FUTUROOT, automation initiatives start with facts – not assumptions.
See FUTUROOT in Action
Using Process Intelligence to build an Automation Roadmap
Discover how a global leader in specialty insurance distribution and niche risk solutions used FUTUROOT to identify high-value automation opportunities in Accounts Payable and unlock measurable impact.
The company faced a familiar challenge: multiple AP company codes, heavy manual workloads, and hidden inefficiencies slowing invoice processing cycles. Without system-based evidence, automation initiatives risked becoming assumption-driven projects rather than a clear AI implementation roadmap.
FUTUROOT changed that. By connecting directly to SAP event logs, the platform used process intelligence to reveal how Accounts Payable operations actually ran. The analysis uncovered that 42% of AP tasks were automation-ready, providing a strong foundation for intelligent
automation initiatives.
Operational improvements followed quickly:
- Straight-through processing increased from 35% to 70%
- AP error rates dropped by 45%
- Manual duplicate checks were eliminated
These improvements freed more than 2,500 hours annually while reducing invoice cycle times from 12 days to 6 days. Compliance also improved significantly. Policy adherence rose from 78% to 94%, strengthening AI governance and operational control. The result was a clear, data-driven roadmap for digital process optimization and scalable automation.With $1.5M in annual savings, leadership had a fact-based automation strategy they could trust.