Most workplace AI projects are stuck at the design stage. So what can be done to improve this?

• Deployment of agentic AI is slow, but the technology itself is not to blame
• Privacy, compliance, management and lack of skills all create barriers
• Dynatrace says the way forward is to redefine ROI and focus on human-machine collaboration

A new Dynatrace report claims that around half of agentic AI initiatives are still in the proof-of-concept or pilot phase, showing how organizations are struggling to move from experimentation to full implementation, preventing them from achieving the ROI they aim for.

But it is not the value of AI that is in question; rather, it is obstacles such as governance and security that cause delays. Additionally, one in three cite the lack of a clear business case as a barrier to progress.