MayIA° - Smart dataLayer monitoring: The AI agent that QAs your dataLayer

A few years ago, before Smart Bees was founded, we were a data & analytics consulting firm. Every project ended the same way: hours spent manually clicking through websites, checking event by event whether the dataLayer actually matched the tagging plan. Excel sheets, screenshots, "did GA4 fire twice on this button", repeat for every browser, every device, every release. It worked. But it didn't scale and it left the same blind spot every time: the moment nobody double-checked was the moment tracking silently broke. A release ships, a selector moves, consent mode changes something — and three weeks later, marketing is optimizing budget on numbers nobody validated. We built MayIA° because we needed it ourselves before we could sell it to anyone else. It's an AI agent that does the QA we used to do by hand: it simulates real visitor journeys, validates every dataLayer event against your tagging plan, catches regressions the day they happen, not the month after and tells you exactly what broke and why. No tagging plan to rewrite. No rules to maintain manually. Up and running in 24h. We're not selling "another dashboard." We're solving trust, making sure the data your team is already making decisions on is actually correct. We're launching with a small group of e-commerce brands first. If silent tracking regressions have ever cost you clean data (they have, you just didn't know yet), let's talk.