The number that should cool the hype

A widely-covered 2025 report from MIT, The GenAI Divide: State of AI in Business, found that 95% of enterprise generative-AI pilots deliver no measurable return, despite an estimated $30–40 billion in investment. Fortune summarised it as "the clearest manifestation of the GenAI Divide".

Why most get stuck

The failures rarely come from the model being too weak. They come from starting at the wrong end: a tool looking for a problem. Pilots get built as demos, not workflows. They impress in a meeting but nobody uses them on Monday. What sets the successful 5% apart is integration into a real workflow and a narrow, concrete task.

Start with the boring task

Our conviction, and the whole basis of our AI & Automation approach, is to not start with AI. We start with the task nobody at the office wants to do: copy, paste, compile, forward. Then we automate it away, one at a time. No demos. Something that's actually used on Monday morning.

Questions to ask before you invest

  • Which concrete task goes away, and how do we measure that it did?
  • Does the solution live in an existing workflow, or is it one more tab to manage?
  • What's the value in six months, not in the demo?

Want an honest answer on where AI actually pays off for you? Book a free consultation. We'll tell you even when the answer is "not here".