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Scooped by
JC Gaillard
onto Digital Transformation Leadership August 19, 1:07 AM
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Deloitte research shows why organizations must reinvent processes and workforces to unlock the full potential of the agentic enterprise
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Forward-thinking enterprises are pursuing AI realignment over replacement -- reshaping teams, redistributing authority and redefining roles to work alongside AI, not against it.
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Early experience implementing agentic workflows highlights emerging trade-offs that frontline leaders need to understand.
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Deloitte research shows why organizations must reinvent processes and workforces to unlock the full potential of the agentic enterprise
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From
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Nine in ten CEOs say they are starting to see initial value from AI. To build on that momentum and unlock value at scale, they can adapt the proven disciplines of transformation.
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A pilot tells you the model can think. Only the architecture tells you whether it can be trusted to run.
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The value of agentic AI is not in the technology but in redesign.
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AI-driven change succeeds when leaders put people at the heart of every decision, informed by a rich understanding of their emotions, thoughts, and behaviors. They create the conditions for new ways of working to take hold.
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Few AI pilots scale successfully. Asking key questions about goals, governance, and culture can help them thrive.
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From
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There’s a coming governance shift that will define enterprise AI in the next decade.
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As AI costs spiral, CIOs need to manage enterprise AI demand to optimize for outcomes, not just cost.
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Are you funding an AI transformation you have defined, or are you funding it because everyone else is?
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Much of the AIOps market presents autonomous remediation as the logical next step in operational maturity. Technically, that is difficult to argue against. However, there is a paradox hidden within this evolution.
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Companies are treating AI as a technology decision when it is a workforce decision.
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The tools driving transformation keep changing. The truths about leading people through it mostly haven’t.
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Great tech won’t transform a business if people can’t turn it into action, value and lasting change.
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Data protection and cyber resiliency are far too often a checkbox for C-suite leaders, deprioritized in favor of flashy tools or AI solutions.
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Technology may power AI transformation, but people determine whether it succeeds. Leaders can build trust through transparency, clarity, and investment in employees to create lasting change.
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Enterprises looking to make the most of agentic AI will have to rethink how work gets done and how teams are organized, without forgetting the human workers who set their companies apart.
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CIOs can now track AI spending, but boards want proof of value. IT leaders offer advice on how to measure outcomes, not just token costs.
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From
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Organizations should establish cross-functional AI governance committees that include executive leadership alongside technology specialists.
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IBM's recent earnings show a reallocation of investment toward AI infrastructure, yet CIOs must still find a way to fund IT as a whole.
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AI agents are spreading rapidly through the business world, yet many organizations still struggle to prove whether they deliver a meaningful return on investment.
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Today, more leaders are asking harder questions about utilization, governance, vendor overlap and return on investment when it comes to AI.
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From
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For CIOs and boards, the central issue is how organizations can govern the speed, scale, and autonomy of AI adoption without losing control of data, accountability, compliance, and customer trust.
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From
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How do organizations safely deploy AI systems that take action, make decisions and influence business outcomes at scale?
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