Corey Mabry

Special Guest Blog Post written by Dyci Sfregola   Why planning, procurement, and leadership must move beyond coordination theater Collaboration is one of the most overused (and misunderstood) words in both modern supply chain and construction management. Everyone claims to value it. Few organizations design their operating models to make it work. In a recent conversation, Scott Luton sat down with Dyci Sfregola, author of Next Level Construction Management, to unpack what real collaboration looks like in practice; and why so many well-intentioned efforts fail to deliver measurable results.   What “True” Collaborative Planning Really Means According to Sfregola, real collaboration isn’t about more meetings or more dashboards. It’s about working together to create one plan, one set of assumptions, and real tradeoff analysis – – all owned collectively across functions. That includes finance, commercial, marketing, manufacturing, planning, and procurement all working from the same reality. Capacity, labor, cash flow, and constraints are visible. Decisions are documented. Actions actually change what happens next. The most common failure? Confusing information sharing with alignment. Teams often circulate data and emails and call it alignment, but no one in the room has clear decision rights – – or the authority to commit resources…

At Manifest 2026, Scott Luton spent time with Josh Gruenstein, Co-Founder and CEO of Tutor Intelligence, to talk about a future that’s no longer theoretical: AI-powered robot workers operating inside America’s warehouses and factories. And this isn’t a science experiment. It’s already happening.   From MIT to the Warehouse Floor Gruenstein and his team came out of MIT’s Computer Science and AI Lab with a bold idea: build AI-powered robot workers that can handle the manual labor people don’t want to do. “We build physical robots,” Gruenstein explained. “We build AI models that enable robots to perceive their environments, and then we deploy those robots into factories and warehouses across the United States to do manual labor that people don’t want to do.” Unlike traditional automation projects that require massive capital outlays, Tutor Intelligence operates on a robots-as-a-service model. Companies can engage a Tutor robot for roughly $14–$18 an hour, creating a flexible, scalable path to automation without multimillion-dollar implementation risk.   Automation Isn’t New. AI Is Changing the Playbook. When asked about dominant supply chain themes, Gruenstein pointed to a constant drumbeat: automation. But 2026 feels different. “Automation is obviously a constant theme,” he said. “What really seems different…