#operations
13 articles · page 2 of 2
The Hidden Work in AI Adoption Is Process Archaeology
Most companies do not fail with AI because the model is weak. They fail because the workflow was never as clean or as legible as leadership imagined, and AI exposes that mess faster than any consultant ever could.
Most Companies Do Not Need an AI Agent. They Need a Better Work Graph.
The obsession with fully autonomous agents is pushing many teams toward the wrong architecture. In practice, the highest-return AI systems are usually the ones that map work clearly, expose decision points, and leave humans exactly where judgment is still expensive.
Most Companies Don’t Need More AI Tools. They Need Fewer, Better Workflows.
A surprising amount of AI adoption stalls for the same reason digital transformation stalled before it: leaders buy technology when the deeper problem is process design. The companies getting durable value from AI are not the ones with the most pilots. They are the ones willing to redraw how work moves.
Most Enterprises Do Not Need an AI Strategy. They Need a List of Decisions They Are Willing to Delegate.
The phrase "AI strategy" often hides a refusal to get concrete. Real progress starts when a company decides which judgments can be standardized, which still require human ownership, and where automation should stop.