Agent-enabled business processes shift process design from static task sequences to decision-centric execution, enabling work to move faster, adapt dynamically, and respond more effectively to exceptions.
This requires leaders to clarify where agents act autonomously, where human judgment remains essential, and how escalation paths are triggered based on data confidence and decision risk.
When processes are designed this way, organizations accelerate time to value, improve quality and agility, and unlock existing data assets without major re-platforming.
Design AI-enabled processes that accelerate work without sacrificing control.
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