86% of AI projects fail.
Don’t let yours join the statistics.
Last year, it was 88% (IDC research, reported by CIO.com).
Companies jump into AI with excitement, but without a clear problem definition, the project collapses before it even becomes a proper POC.
Why does this keep happening? Because most teams treat AI projects like classic software development, when in reality, they behave more like scientific research with business constraints.
The result: endless experimentation, unclear ownership, and models that never reach production.
The proven way to break this cycle is to adopt AI‑specific methodologies.
Wait – methodologies? Yes! There have been enough failures in the past years to extract patterns and formalize what works.
One structured approach is the CPM‑AI methodology, promoted by PMI. It defines clear pillars that guide a POC toward becoming a real end‑user product.
And the team?
A successful setup is a cross‑functional squad: domain expert + data expert + engineering + product — replacing the old siloed “data science teams.”
When AI is built through a structured methodology instead of ad‑hoc experimentation, the failure rate drops and outcomes become measurable, not accidental.
With Sourcico, you get the right squad using the right methodology to bring your AI product to market.
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