The technology does what it is supposed to do. And still, 95% of the organisations in MIT's 2025 research get zero return on their investment in generative AI. That figure covers the applications companies have built for them or buy in. For general tools such as...
Data & AI Readiness
Why AI projects fail (and how to prevent it)
The software worked. The project failed anyway. You have probably watched that happen from close by. Or you are about to start something and are not sure it is worth the money. Either way, the question is not whether the technology works. It is whether your...
Why AI pilots fail (and what makes the next one work)
After an AI pilot that went nowhere, the easiest conclusion is that the technology wasn't ready. In the pilots we see, the cause sits one layer down: in the data the model had to learn from. Six months, an enthusiastic team, an external partner, one use case everyone...

