Companies are running tons of AI pilots, yet most struggle to move from experimentation to scaled impact. Zero100’s latest research reveals why: only 15% of organizations say their data foundation is ready to support AI at scale, while the rest wrestle with fragmentated data and meetings where teams spend more time debating which numbers to trust than making decisions. This week, Kelly Coutinho (VP, Research & Advisory), Julia “JD” Dahlgren ( Director, Data Science), and Justin Gillebo (Senior Director, Research & Advisory) explore what “decision safe data” actually means, why agentic systems raise the bar on clarity, and working from one source of truth.

1. The data cleanliness issue that gave 500,000 free gas and electricity (01:11)
2. Why 85% of companies aren’t ready for “decision-safe” AI (02:18)
3. How humans and AI fail differently (07:40)
4. How "good enough" data can lead to misaligned metrics and escalating operational costs (10:04)
5. The human in the loop – from training a replacement to becoming a collaborator (13:57)
6. The “decision agreement” test: How to know when your AI is ready for production (15:49)
7. The ultimate prize? Compressing the time between signal and response (17:37)