The author suggests building a solid foundation for intelligent automation by involving all stakeholders in planning and design, and defining clear business objectives. They also recommend using common modeling standards like BPMN and DMN to align all parties. To successfully implement AI in end-to-end processes, the author advises orchestrating AI services and machine learning models, which ensures the entire automation technology stack and personnel work together. The article concludes by emphasizing the importance of process orchestration in integrating AI within a cohesive, effective automation strategy.
Key takeaways:
- Intelligent automation represents the fusion of AI and automation, emphasizing the importance of thoughtfully orchestrating every process from start to finish.
- One common pitfall is treating AI as a standalone solution rather than integrating it with other systems and processes, which can lead to inefficiencies and slower processes.
- Successful intelligent automation starts with a strong foundation, involving all stakeholders in planning and design, and defining clear business objectives.
- Process orchestration is an essential part of integrating AI within a cohesive, effective automation strategy, and it can help to continuously improve automated processes and maximize ROI.