StackAI co-founder Bernard Aceituno was recently published in CIO.com, where he outlines the five most common mistakes technology leaders make when deploying enterprise AI.

Drawing from his experience working with hundreds of enterprises, Bernard covers pitfalls ranging from selecting the wrong initial use cases and failing to measure ROI, to underestimating the governance infrastructure required to scale AI across an organization.

Bernard writes: "The future will reward the CIOs who take a long-term view at this time, thinking now about the challenge of scale. If—and when—you have hundreds of people building AI agents across your organization, you need version control, deployment pipelines and approval processes not for traditional software, but for AI workflows. You need role-based access controls that account for what AI agents can see and do, project-level controls and an end-user connection check to ensure that agents interacting on behalf of humans only see data that they truly have access to. The CIOs who are aware of the need for rigorous and new methods of governance have a meaningful head start on scaling AI across the entire enterprise."

"You don’t need to be the CIO with the largest team or the most technically sophisticated to achieve success as you begin your AI deployment. Just by starting with a clear use case, measuring results honestly, getting the right people building, deploying tools where people work and taking the long view on AI, you can get further than many."

It is a practical, honest read for any CIO or technology executive navigating enterprise AI adoption right now. Read the full article here today.

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