Everyone’s talking about AI. Revenue teams are being promised better predictions, smarter automation, and more time to focus on strategy. But behind closed doors, there’s a quieter reality – many businesses are struggling to make AI actually useful. They’ve got data scattered across systems, forecasting models that break with every pivot, and teams that don’t know where to start.
