AI process automation: what it is and where to start
AI process automation combines fixed rules with models that can read, classify and summarise unstructured information: emails, PDFs, forms or notes. The result is flows that used to need a person at every step.
Classic automation vs AI automation
Classic automation (RPA, integrations, macros) works very well when data always arrives in the same format. AI adds understanding: it reads a free-form email, extracts data from a different document each time or decides which department a request belongs to.
In practice, the best results come from combining both: rules for the predictable and AI for the variable.
Examples of processes you can automate with AI
- Admin: invoice reading, reconciliation and report preparation.
- Sales: enquiry qualification, summaries and draft replies.
- Customer service: ticket routing and suggested answers.
- Operations: task tracking, deadline alerts and document control.
How to choose the first process
Volume and repetition
The more often a task repeats, the sooner the investment pays back.
Visible impact
Better a process the team struggles with daily than one nobody misses.
Controlled risk
Start where an error is easy to spot and fix, with human review on what matters.
What you need to have ready
- A description of the current process, even an informal one.
- Real examples of incoming documents or messages.
- An owner who validates results.