Shadow AI: The $15,000-Per-Employee Productivity Leak Hiding in Plain Sight
91.5% of employees use AI at work; 27.3% do it in secret. The cost isn't just security risk — it's a measurable productivity and ROI leak most can't see.
Uprovd Blog
Practical research for enterprise leaders who need proof, not promises.
91.5% of employees use AI at work; 27.3% do it in secret. The cost isn't just security risk — it's a measurable productivity and ROI leak most can't see.
Most companies have AI tools; far fewer have an AI strategy. Here's what that strategic vacuum looks like, what it costs, and how to fix it.
MIT's research is now the most-quoted statistic in enterprise AI: 95% of generative AI pilots fail. The five root causes are well documented. So is the fix.
GitHub Copilot, Cursor, and AI code-review tools are in every IT stack — but most firms can't prove their return. How to measure developer-productivity ROI.
Concrete data on AI returns across customer support and manufacturing verticals. Based on deployments tracked through the Uprovd platform.
An illustrative scenario showing how the Uprovd methodology would measure ROI for a customer support AI deployment. Not a verified customer engagement.
The AI measurement gap in India & GCC enterprises — with a worked customer-support example and a five-component framework for CFO-grade AI ROI.