What it means
Workflow automation uses software to carry out repetitive process steps according to predefined rules, such as moving data between systems, sending notifications or creating tasks. It may or may not include AI.
Real-world example
When a citizen submits an online form for a parking permit, an automated workflow checks that all required fields are completed, creates a case in the case management system, sends a confirmation email and assigns the case to the right team. No AI is involved, and the process behaves the same way every time.
Why it matters for AI adoption
Many processes can be improved with conventional automation, which is predictable and cheaper to test and operate than AI. A good adoption strategy asks whether a task really needs AI or whether rule-based automation is enough.
Often confused with
Workflow automation follows fixed rules; an AI agent chooses some of its own steps. Automation is predictable and easier to test; agents handle more variation but with more uncertainty.
Questions to ask
- Could this process be improved with rule-based automation, without AI?
- Where exactly would AI add value that fixed rules cannot?