Loading content
A combination of traditional process automation and cognitive services to automate complex business processes with adaptive exception handling.
Intelligent Process Automation combines traditional process automation with cognitive services such as NLP, OCR and rule-enhanced AI components to handle complex structured and unstructured tasks. The goal is end-to-end automation of business processes with human oversight and adaptive exception handling. It increases efficiency, quality and scalable throughput.
Time from item intake to complete automated processing.
Share of cases completed without manual intervention.
Number of incorrect actions or classifications per 1000 cases.
A manufacturing firm reduces manual entries via OCR and workflow automation, achieving faster cycle times.
A service provider uses NLP for classification and forwards only complex cases to experts, reducing response times.
An enterprise automates access provisioning, onboarding tasks and compliance checks via orchestrated processes.
Prioritize processes and assess value potential.
Run a proof-of-concept with clear success criteria.
Go-live, monitoring and incremental scaling.