Mikel Lindsaar
January 6, 2026
Companies jump into AI projects without considering the quality of their data. But if your data is wrong, your AI will be, too. It’s a quick trip from “AI innovation” to “data hallucination.”
Instead of tackling massive, company-wide AI initiatives, start with a problem you can easily control and verify. Think about something like a customer onboarding process with a specific list of required information. This is a perfect, low-risk project to begin your AI journey.
It allows you to test the waters, measure success, and build confidence before scaling. Don’t rush into a large AI project with bad data. Start smart, and your AI will work smarter for you.
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