Dive Brief:
- Agentic AI adoption is accelerating across industries, but governance frameworks are struggling to keep pace, according to Deloitte’s State of AI in the Enterprise report, published last month. The company surveyed more than 3,000 business and IT leaders across 24 countries.
- Nearly 3 in 4 companies plan to deploy agentic AI within two years. Despite ambitious plans for deployment, only 1 in 5 report having a mature model for governing autonomous agents, a gap that can increase the risk of vulnerabilities, according to Deloitte.
- To improve accountability as technology plans unfold, businesses should “anchor agentic AI programs in measurable impact from day one,” Jim Rowan, U.S. head of AI at Deloitte told CIO Dive in an email.
Dive Insight:
With AI adoption on the rise, agentic applications are emerging as a key growth catalyst. The tech is shifting AI from a decision-support tool to one capable of autonomous action.
While the capabilities race ahead, the necessary guardrails have been slow to follow, raising the alarm on accountability, risk management and regulatory compliance, according to Deloitte.
To scale AI safely and effectively, organizations must restructure from the bottom up and embed governance early in transformation efforts.
“Speed and governance should not be viewed as opposing forces, as there can be alignment when you establish the right foundational capabilities upfront,” Rowan said. “We’ve seen clear patterns indicating that organizations without strong governance have difficulty scaling beyond the pilot stage. Focusing on this early allows for innovation and growth at pace with the technology itself, instead of facing stalled deployments and operational risks.”
CIOs facing pressure to deploy agentic AI quickly should prioritize governance elements such as a cross-functional team that brings IT, legal, compliance and business leaders together, according to Rowan.
Executives should also establish clear autonomy boundaries, create real-time monitoring for anomaly detection and add comprehensive audit trails to “capture the full chain of agent actions for compliance and improvement,” Rowan said.
“The fastest-moving CIOs recognize that governance upfront eliminates the far costlier cycle of deployment, remediation and rollback,” Rowan added. “These elements of a governance strategy enable speed by building trust and reducing crisis management overhead.”
Demand for strong governance is only expected to continue rising as agentic, physical and sovereign AI see ramping deployment across industries.
A previous report from IBM found governance gaps can exacerbate the financial and reputational repercussions of breaches, while an EY survey last year found more than 3 in 5 businesses experience AI risk-related losses of more than $1 million.
