Getting real about agentic AI projects - what's working, and what's not?

In my tarmac adventures, I always find myself knee deep in enterprise AI. Too often, I see a wide gap between vendors' aspirational AI statements and customer realities. (We see that gap in our diginomica network findings as well: Why 93% of enterprises use AI but most aren't seeing the ROI they were promised).

But then there are those priceless conversations, where AI practitioners talk candidly about what's working, and what's not.

In well-designed settings, AI can deliver new things: new forms of automation, new business models, new ways of interacting with customers, new ways of decisioning, drawing on hybrids of structured and unstructured information.

Three things enterprise AI is getting right

Enterprise AI is shifting from the Big AI frontier model mentality. Despite the relentless agentic AI keynote carnival, there are three things enterprise AI is getting right.

Context at the time of inference - getting AI ...