Every leadership team I talk to has an AI initiative underway. Most of them will not survive contact with a budget review. Not because the models don't work — they do, more often than skeptics expect — but because nobody in the room can answer a simple question: who owns the outcome?
Not who owns the project. Not who owns the pilot. Who owns the number that moves if this works — the support tickets resolved, the hours saved, the revenue influenced. In most organizations I've worked with, that question stalls the conversation, because the initiative was framed as a technology rollout rather than a business change.
The pattern repeats
A pilot gets funded. IT or a data team stands up a proof of concept. It works well enough in a demo. Then it needs to be embedded into a real workflow — sales, support, engineering, finance — and that's where it dies quietly, because the team whose workflow it touches was never accountable for making it succeed. They were consulted. They were not on the hook.
I've seen this play out in cybersecurity, in enterprise software, and now in AI adoption specifically. The pattern is identical each time: technology initiatives owned by a technology function, deployed into someone else's workflow, with no shared accountability for the business result.
What ownership actually looks like
Real ownership means the business leader whose team will use the tool is co-accountable for its success from day one — not a stakeholder who signs off at the end. It means the success metric is a business metric, not a technical one ("model accuracy" is not a business outcome; "reduced average resolution time" is). And it means someone with the authority to change the workflow, not just the software, is in the room from the start.
This isn't a technology adoption framework problem. It's a governance problem, and it's fixable with the same discipline that's always separated organizations that execute well from ones that generate expensive pilots.
Where to start
Before the next AI initiative gets funded, name the business owner — not the sponsor, the owner — and give them a metric that already matters to the business. Everything else, including the choice of model or vendor, is a downstream decision. Get the ownership question right first, and the technology stops being the risk.