What does "AI readiness" actually mean if my data isn't clean?
You don't need clean, documented data to start: that's the point. Most failures aren't about the model; they're about unwritten business rules ("don't count that deal," "March is seasonal") that never made it into any spec. explai starts where you actually are, encodes those rules, and you keep the resulting capability.
How does explai handle business logic that only lives in people's heads or Slack?
explai mines that unwritten analytical knowledge, the kind that's lost the moment a key person leaves, directly from everyday interaction, and manages it like code: a private, transparent asset that compounds with every use instead of living only in someone's head.
How is this different from a typical data-readiness consulting engagement?
Conventional consulting sells hours and walks out with a deck. explai delivers the same analysis depth plus an AI Advisor your own data science team keeps and governs afterward: a partnership, not a one-time report.