Perspectives - By Nobilys Group
Reflections for executives and boards on AI strategy, performance, governance and investment decisions.
How to assess a customer churn model through profitability, decision tresholds, retention costs and its ability to improve commercial decisions.
AI Projects Fail Before the First Model Is Built
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Why AI projects fail before the first model is built: poor framing, unusable data, unproven value, weak ownership and underestimated scale-up.
A practical method to prioritise AI initiatives by expected value, feasibility, data readiness and execution risk.
Six criteria to identify which decisions genuinely benefit from AI and whether to automate, assist or inform them.
