7 comfortable lies that kill AI transformations

Why don't AI rollouts die - why do they just stall? #Automation #ProcessIntelligence #AIAgents #GBS #SSC Most enterprise AI deployments don't end in spectacular failure. They simply run on indefinitely as attractive demos, wheeled out once a quarter to impress the board. The technology itself works fine. The real problem sits in the layer nobody wants to talk about out loud: badly designed processes. In this episode, Andrzej Kinastowski takes an unvarnished look at why technology transformations fall apart. We examine what happens when you industrialize chaos - automating processes that are fundamentally broken and should have been deleted outright rather than sped up. You'll also learn why your organization may not actually run on the expensive ERP system at all, but on hidden Excel files that modern analytics tools are blind to. This one is made for directors, managers and leaders in finance, HR and administration who want to stop investing in comfortable half-measures and start implementing solutions with a real, visible return in the P&L. What you'll learn in this episode: 🔸The 7 comfortable lies of transformation – from blind faith in analytics platforms to pointlessly building new AI teams. 🔸Industrializing chaos – why using technology to speed up a broken process only compounds the problem. 🔸The process mining blind spot – where the work actually leaks away, out of sight of your ERP and CRM. 🔸The personal productivity trap – why saving a few minutes on chatbot-written emails will never show up in the financial result. 🔸The executive sponsor – why without one, your odds aren't lower, they're exactly zero. 🔸What actually works – how simple process mapping and fixing the handoffs between departments recovers real money. Instead of looking for shortcuts, choose the correct option over the comfortable one. Fix your processes before you hand them to artificial intelligence.