Process Automation and Artificial Intelligence Questions

Covers how candidates identify, design, and deliver process automation and artificial intelligence solutions to improve business operations. Topics include process discovery and process mining to surface high value automation candidates, deciding between robotic process automation, workflow orchestration, API integration, and intelligent automation, and designing machine learning or artificial intelligence models to augment decisions. Candidates should be able to explain data readiness and labeling requirements, integration points with enterprise systems such as ERP and CRM, model training and MLOps practices, testing and validation, and operational monitoring. Interviewers will probe how automation opportunities are prioritized, how success metrics and return on investment are defined and measured (for example cycle time, error rate reduction, cost saved, quality improvement), how risks and ethical considerations are mitigated, and how solutions are governed and scaled across the organization. The topic also covers vendor selection trade offs versus custom development and change management to drive adoption of automated solutions.