EP3: AI-Driving ROI from High-Volume Tasks

A sales team found $2.5M in new pipeline without hiring anyone or buying a new list. They pointed AI at their call recordings. An 82-year-old bank freed up 70% of its people's time. A grocery chain used AI to figure out how many bananas to stock. Three companies with nothing in common made the exact same move and this episode shows you how to make it inside your own business. In this episode: [00:00] Cold open: $2.5M in new pipeline from data the team already had [01:30] The pattern: one software company, one 82-year-old bank, one grocery chain, same move [03:00] Workato: how an AI agent listening to closed-won calls built a sales curriculum and unlocked $2.5M in new opportunities [06:00] Bradesco: how an 82-year-old Brazilian bank freed up 70% of staff time by pointing AI at fraud and repeat customer questions [09:00] SPAR: how a 1,500-store grocery chain used AI to predict demand store by store and got it right 90% of the time [12:00] What all three had in common: high-volume, repetitive, expensive if you get it wrong [14:00] Takeaway: what is the most expensive, highest-volume, most repetitive process in your business right now? If this was useful, send it to one person who owns a number or is responsible for an expensive problem. New episodes every week on Prompting Revenue. Connect with Brett: Join the Build AI Community: https://build.brettjansen.ai/ LinkedIn: linkedin.com/in/brettjansen  Work with Brett: brettjansen.ai