Summary: Finance and IT leaders know inefficiencies exist but struggle to identify and quantify them. Process mining analyzes actual system logs to visualize real workflows—where deviations occur, which activities consume time, where rework happens. Customers typically uncover ~20% savings within 30 days.

Outcome: Data-driven identification of automation and improvement opportunities

Takeaway: How to identify good candidate processes and connect outputs to automation investments

Key Discussion Points:

• What process mining reveals that traditional process mapping misses
• Platform options: Power Automate Process Mining, ProcessMind, Apromore
• How to identify good candidate processes: 5+ activities, high volume, compliance requirements
• Connecting process mining outputs to RPA and AI automation investments
• Data requirements and system log access
• Privacy and security considerations for log analysis
• Quick wins: processes to mine first
• Interpreting process mining results
• Building the business case from mining insights
• Continuous process monitoring and improvement