31/10/2026
Most AI projects don’t fail because of the technology.
They fail because the organization wasn’t ready for them.
I’ve spent years researching organizational health, and the same pattern keeps showing up. Teams buy the tools, run a few pilots, and then adoption stalls. The causes are usually:
→ Unclear ownership of who runs the AI work
→ Messy or scattered data
→ Teams that haven’t been brought along
→ No link between the tool and a real business goal
None of these are tech problems, and you can check for all of them before you spend anything.
So I built a free AI Readiness Scorecard. It’s 8 questions and takes about 2 minutes. You get a score, a breakdown by dimension, and a straight recommendation for what to do next.
Take it here: https://bellenaconsulting.com/scorecard
If you run an SME or lead a revenue team, I’d like to hear what score you get and whether it matches your gut feeling. Share it in the comments or send me a message.
