The one-page version
Four-minute read
Is this for you? It is if any of these are true: your business uses AI, or is under pressure to start; you expected AI to free up your team and they seem busier; you are not sure who checks what AI produces.
- AI is producing real gains. More output, faster, for less. That part is true and worth having.
- The work has moved, not disappeared. Less time producing, more time checking, correcting, approving and owning. That work is hard to see from the top.
- Knowledge is concentrating in fewer people. Often one person understands how the AI processes fit together. If they leave, the business may not be able to explain or fix what it has built.
- Accountability is unclear. When AI gets something wrong, the error tends to land on whoever was nearest, whatever the instruction was at the time.
58%
of UK workers who use AI at work have relied on its output without checking it.
KPMG Trust in AI study, UK respondents, 2025
78%
of AI users at work bring their own AI tools to work.
Microsoft and LinkedIn, global, 2024
1h 56m
per piece of poor AI work passed on.
Stanford and BetterUp, US, 2025
Three questions for your next leadership meeting
- Who checks what our AI produces, and how long does it take them?
- If the person who built our AI processes left, who could explain them?
- When AI gets something wrong, who owns it?
One next step. Ask your team the same three questions, separately. Compare the answers. Where they differ is where the risk is.