Companies confess their agentic AI goals aren't really working out - and a lack of trust could be why (www.techradar.com)

A recent report from Camunda reveals that organizations face significant challenges in deploying agentic AI, with 73% acknowledging a disconnect between their ambitions and actual results, primarily due to a lack of trust. Despite 71% of companies utilizing AI agents, only 11% of use cases made it to production last year. The primary obstacles include business risks, transparency issues, and regulatory compliance, leading many firms to restrict AI applications to chatbots or assistants, often operating in isolation without access to full context. However, those who successfully leverage the full capabilities of agentic AI often see impressive outcomes, with 95% reporting business growth from automation. The report highlights the potential of “agentic orchestration,” which combines fixed rules with dynamic, adaptive AI capabilities, as a pivotal approach to overcoming silos and enhancing integration across tech stacks. As organizations invest more into automation, fostering a foundation of trust in agentic AI may transform isolated applications into robust, integrated systems capable of driving significant improvements in efficiency and performance.