RPA

Your RPA deployment is handling 200 invoices a day. Then a supplier starts sending PDFs in a new format and the bot breaks. You spend a week fixing it – only to discover three other edge cases that have been failing silently for months. This is where traditional automation runs out of road. And it’s why operations and finance leaders are rethinking their automation stack in 2026. AI process automation uses AI agents and machine learning to execute, monitor, and optimize business workflows without human intervention – handling not just repetitive tasks, but processes that require reasoning, judgment, and adaptation. The critical difference: when an AI agent hits an exception, it doesn’t stop. It reads the unusual invoice, routes the edge case, flags it if confidence is below threshold, and keeps moving. ...