Perspectives

Analysis, opinion,
and point of view.

Working conclusions on enterprise IT, AI transformation, and the business of operating at scale — drawn from years in the room where these decisions actually get made. My thinking, in writing.

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The AI Implementation Gap Nobody Wants to Own

Most AI implementations underperform not because the technology is wrong, but because the organization deploying it never understood what problem it was actually solving.

The Board Said Modernize. They Meant Something Else.

When a PE-backed board mandates modernization, the word almost never means what the technology team hears — and closing that gap is the only work that matters.

Agentic AI Won't Fail on the Algorithm. It'll Fail on the Org.

Operationalizing agentic AI fails not because the technology is immature, but because organizations haven't done the slower, harder work of understanding what they're actually asking it to do.

The Network Is Up. Nobody Cares.

IT organizations that measure success by uptime are solving the wrong problem — the job is not keeping infrastructure running, it's making the people depending on it effective.

Why the Recommendations Were Right and Nothing Changed

The most expensive consulting failures aren't caused by bad advice. They're caused by advice that was technically correct and organizationally impossible.