Embedded AI (agentic operations, agentic process automation, whatever we're calling it this month) is basically business process automation with better brains.
For decades, enterprises ran critical repeatable processes on rules engines and RPA. Take a process that has to run itself reliably and make it work. Now we call it 'agentic.' New name, same ambition.
The difference is real capability though. Old BPA could follow rules. Embedded AI can reason through exceptions, learn from past runs, pull meaning out of unstructured data. Not just a rebrand.
But the hard problems are the same ones BPA teams were solving 15 years ago. Governance, observability, human-in-the-loop checkpoints, managing failures at scale. We just have to solve them again with systems that are way more powerful and way less predictable.
The teams shipping fastest right now are usually the ones who learned from that era. They don't treat governance as an afterthought because they already got burned once.
I keep saying the agentic industry renames the same things over and over. This is one of those cases, but at least this time the capability underneath actually justifies the new name.