People often talk about AI as simply a more advanced form of automation, capable of performing tasks faster and more effectively than traditional tools. But AI’s real potential emerges when agencies use it in conjunction with other tools to orchestrate business processes end-to-end. For example, an agency that uses robotic process automation (RPA) to extract information from a document can now use AI agents to automatically classify that document and route it to the appropriate office for a human to review.
But there’s a catch: How do you coordinate that work across the workflow and the various systems involved? That’s where business orchestration comes in. It enables agencies to design processes that support seamless collaboration between AI agents, RPA automations, and people, while maintaining governance and oversight across the operation. That business orchestration tier helps agencies scale automation beyond individual tasks, said Christopher Radich, Public Sector CTO at UiPath.
“Once you actually map the end-to-end business process, you can recognize even more value in these areas than maybe we would have driven in the past with a very task automation-based approach,” he said.
In this video interview, Radich discusses best practices in business orchestration. Topics include:
- Determining the appropriate role for traditional automation
- Factors to consider in making the buy vs. build decision in orchestration
- High-value government use cases for business orchestration