AI in mid-sized companies: turning tools into measurable processes
“51% of large companies have already reversed an AI decision because it put their environment at risk.”
This figure comes from the report “2026 State of AI in Microsoft 365” by CoreView, a survey of 500 IT leaders in the USA, the UK, Australia and Germany. For us it is not an argument against Artificial Intelligence. It is a pointer to where many rollouts go wrong: AI is tried out before it has been settled which data it may see, which steps it may carry out, and how decisions remain traceable.
According to CoreView, that is exactly where the greatest reservations lie: missing human oversight, permissions that reach too far, and a lack of traceability. The hype likes to tell a different story. As if a few prompts were enough to fundamentally reorganise complex work.
In practice, AI first brings relief at individual points: texts are faster, so are analyses, and some routine tasks too. But local efficiency does not automatically become better company performance. This is precisely where the gap opens up between usage and impact.
For AI to have an effect, more has to come together than choosing a model:
- Processes that are digitised and can be automated reliably.
- Data sources that are cleanly connected.
- Responsibilities that are settled – who decides, who reviews, who is accountable.
- Workflows defined so that results are picked up and carried forward.
In short: everything that was needed for good systems, clean architecture and sound decisions still applies. The model is the smaller part of the work.
We deploy AI where it delivers real benefit: in recurring workflows, under clear rules and with control remaining within the company's sphere of influence. Locally operated, closely monitored models are not an add-on for us but the precondition for data protection, compliance and governance being considered from the start. More on this on our Artificial Intelligence page.
“Then AI becomes what companies actually need: a tool that makes work more reliable, faster and more robust.”
AI is not an end in itself. Its benefit arises where it reliably takes over routine work, relieves people and fits into measurable workflows – under clear rules and with control in-house. If you would like to know which process in your company is the best place to start, talk to us.
