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Frameworks and real cases on AI applied to business
Short notes, no hype. By Allan Paulo.
- June 16, 2026
Where to start with AI when your data is a mess
Perfect data is the most common excuse to never start. Here is how to run a useful first project with the sufficient data you already have.
AI for businessAdoptionData - June 15, 2026
How to measure AI ROI: what to define before turning on the model
AI return is not measured at the end of the project. It is set at the start, by choosing the right metric and recording the baseline before anything runs.
AI for businessROIMetrics - June 13, 2026
Why AI projects fail (and it is almost never the technology)
Most AI projects do not die from a lack of a good model. They die from three management failures that show up long before the technical part.
AI for businessManagementContrarian - June 11, 2026
Frequently asked questions about AI in companies
Short, honest answers to the questions business leaders ask most. No jargon and no promise of transformation in 30 days.
FAQAI for businessAdoption - June 09, 2026
AI in practice: start from the problem, not the model
Most AI initiatives start from the tool. The right starting point is older and far less glamorous: the business decision you want to improve.
AI for businessStrategyFrameworks