AI didn’t create your IT data problem, it just exposed it

When an AI pilot in IT operations underdelivers, the first instinct is to question the technology. Was the model wrong? Did the tool overpromise? Did the team pick the wrong use case? Those are fair questions. But in many organizations, the answer sits somewhere less glamorous: in a configuration management database that hasn’t been reconciled in two years, in asset data in spreadsheets, or in a service desk where three teams use the same category field in three different ways. Transform fragmented IT data into the trusted data foundation AI needs → AI doesn’t create these problems. It surface