Companies confess their agentic AI goals aren't really working out - and a lack of trust could be why

• Business risks, transparency, and compliance are the biggest hurdles for agentic AI deployment
• Nearly half of organizations are running AI agents in silos
• Allowing AI to adapt to workload variables is key

Three in four (73%) organizations admit there's a gap between their ambitions and reality when it comes to deploying agentic AI tools, and it's because they lack trust.

Just to drive that message home, a report from Camunda report reveals that despite 71% of organizations using AI agents, only 11% of use cases reached production last year.

Business risks (84%), transparency (80%) and regulatory/compliance concerns (66%) are the main hurdles – but businesses are still going all-in on investments, leading to appallingly low ROI.