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ai security
The hardest part of agentic AI may be rebuilding the business
Organizations expect AI agents to transform workflows and productivity, but Deloitte research finds that roughly half of surveyed leaders lack clarity on how agents will reshape operating models. Three main adoption challenges emerge, with process and workflow gaps cited as significant obstacles to realizing AI agent benefits.
Why it matters: Security and infrastructure teams must assess organizational readiness for AI agents now, including identity, access controls, and audit trails required before agents operate at scale across business processes.
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ai security
The hardest part of agentic AI may be rebuilding the business
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
The hardest part of agentic AI may be rebuilding the business
Deloitte research finds that while organizations expect artificial intelligence (AI) agents to improve productivity and free employees for higher-value work, many lack the processes and workflows to capture those benefits. About half of surveyed leaders understand how AI agents will affect their operating model, with adoption constrained by three main challenges including the lack of a unified approach.
Why it matters: Enterprise leaders and operations teams need to assess whether their current business processes and organizational structure can support AI agents, as deployment without operational readiness will limit return on investment.
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- First seen by Cybersecurity Tracker