limitedDistribution · Industry Research
Getting real about agentic AI projects - what's working, and what's not?
The article discusses the gap between AI vendor promises and customer realities, highlighting successful enterprise AI implementations that leverage structured and unstructured data for automation and decision-making.
Successful enterprise AI projects are leveraging both structured and unstructured data to transform automation and decision-making processes.
Executive Summary
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.
Source: diginomica
Published: 2026-03-24T11:22:27.000Z
Original Article: https://diginomica.com/getting-real-about-agentic-ai-projects-whats-working-and-whats-not
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