Most workplace AI projects are stuck at the concept stage – so what can be done to improve this?

• Agentic AI deployment is slow, but the tech itself isn’t at fault
• Privacy, compliance, managing and skills shortages are all creating hurdles
• Dynatrace says the way forward is to redefine ROI and focus on human-machine collaboration

A new Dynatrace report has claimed around half of agentic AI initiatives are still in proof-of-concept or pilot stages, showing how organizations are struggling to move from experimentation to full implementation, holding them back from the ROI they’re targeting.

But AI’s value isn’t the factor being questioned – rather, it’s barriers like governance and safety that are causing delays. Furthermore, one in three cite a lack of a clear business case as a barrier to progression.