$13M in OPEX Savings for Top Technology Leader

Skan AI began by mapping core processes end-to-end, considering real human work actions and unit costing. This provided a clear understanding of how resources were utilized and enabled real-time measurement of workforce capacity utilization and productivity. 

By analyzing the core process variance patterns, Skan AI shared insights on areas for optimization and standardization, providing valuable recommendations for improvement. New data highlighted rework loops and identified the root cause of costly inefficiencies. From these insights, Skan AI generated recommendations for resolution and automation opportunities that could improve future performance.

By implementing the insights gleaned through Process Intelligence, the client was able to achieve staggering OPEX savings totaling $13M.

Standardizing activities reduced errors and redundant work, dramatically improving processing time by an impressive 45%. Secondly, the client could see what applications were damaging work efficiency. By removing these tools from employee workflows, they also boosted team productivity by 10-15%. 

Lastly, the 34% reduction in average case time was observed by the automation of legacy processes and they also reduced average time per case by 20% by increasing the use of connected systems (with installed customer base). 

They also improved customer effort score by 19% (from 1.6 to 1.3).