AI coding tools can accelerate development, but the hidden cost often moves downstream into review, validation, release, and remediation. CIOs should scale selectively, fund the control layer, and measure whether the whole delivery system improves. Not just whether developers generate code faster.
As AI coding tools and agentic workflows become embedded in software delivery, CIOs need to govern AI spend by business value, workflow impact, and platform dependency. Not by seats, prompts, requests, or tokens alone.