Marcello La Rosa shares the story of Apromore - from its origins as a University of Melbourne research prototype to its acquisition by Salesforce - and why native process intelligence is essential for the agentic enterprise. He breaks down why traditional methods like post-it note workshops rely on perception, whereas tapping into transactional digital footprints uncovers how work actually gets done. Marcello warns against treating AI agents as "patchwork" solutions, explaining how autonomous probabilistic agents can compound inefficiencies and compliance risks if dropped onto broken workflows. Highlighting real-world applications - from Westpac Bank optimising customer operations to defense giant Leonardo reimagining aircraft supply chains - Marcello reveals how Apromore’s Monte Carlo simulation models provide hallucination-free ROI predictions before a single agent is deployed. He outlines how combining customer context with process context gives agents the operational intelligence needed to improve time-to-serve and customer experience. Finally, Marcello emphasises how Apromore democratises process intelligence, enabling non-technical business users across lines of business to achieve value in weeks rather than months.