Do we need clean, centralized data before we can use AI effectively?
Yes, in most cases — AI tools are only as reliable as the data they draw from, and scattered or inconsistent data across spreadsheets, inboxes, and disconnected systems leads to unreliable results. Centralizing and standardizing even a single business process's data is usually a prerequisite step before AI adds real value there.
Data cleanup sounds like a boring prerequisite, but it's where most AI disappointment actually originates — not from the AI model being inadequate, but from feeding it inconsistent, duplicated, or incomplete information and expecting consistent output anyway. The good news is you don't need to clean up everything at once; centralizing one specific use case is usually enough to start.
See how your current data readiness scores with a free assessment.