According to Gartner, more than 80% of enterprise AI projects never reach production. It’s not a technology problem. It’s a method problem.
1. The orphan POC syndrome
Too many companies start with a POC without a clear plan for production. The POC works in demo, but collapses as soon as you try to integrate it with the CRM, ERP, or daily operations.
2. The disconnect from the field
An AI solution designed without the user teams is almost always rejected. Not because it doesn’t work, but because it doesn’t match real workflows.
3. The absence of KPIs
“Let’s see if it helps.” This phrase is the silent death of more than half of AI initiatives. Without clear impact metrics, you can’t justify what comes next, and you can’t make progress.
4. Governance treated as an afterthought
Quebec Law 25, model bias, audit trail, Canadian hosting: these subjects always come up, but too late. They must be built into the strategy from the diagnostic phase.
What we do differently
At NUMRIQ, every project starts with a diagnostic that identifies these four blind spots. We define KPIs before writing the first line of code. We co-design with operational teams. And we plan governance as a phase 1 deliverable, not a footnote.