Achieving operational goals—from reducing downtime to improving OEE—is more important than ever. That’s where Total Productive Maintenance (TPM) and Connected Worker initiatives intersect. But turning TPM strategies into sustainable results takes more than good intentions and a few digital tools. It requires a structured, scalable approach.

That’s exactly what Webalo’s ADO Framework—Adoption, Deployment, and Operation—delivers.

Bridging TPM and Connected Work with ADO

Built into the Webalo Platform, the ADO Framework isn’t just about digitizing work. It’s about connecting people, processes, and systems in a way that drives measurable improvements in safety, quality, and productivity. Whether you’re reducing unplanned downtime, eliminating minor stops, or empowering operators to take ownership of equipment care, Webalo helps you move from small wins to full operational transformation.

Across every sector of manufacturing, one theme has become impossible to ignore: the workforce is changing faster than most organizations are prepared for. As a generation of experienced workers retires, they take with them over 161,000 years of institutional knowledge, leaving leadership teams racing to onboard, train, and support the next wave of frontline employees. This isn’t just a labor challenge—it’s an operational one.

You can’t meet the demands of a modern industrial workforce with outdated tools or disconnected systems. That’s where Webalo comes in.

Why Workforce Data Must Be Part of Industrial Data Management for Smart Manufacturing

In the race toward smart manufacturing, IT and OT data convergence has become a cornerstone for digital transformation. As industry leaders strive to contextualize industrial data to unlock predictive and prescriptive insights, the foundational work of data management frameworks, such as those detailed by Gartner**, cannot be overstated. These frameworks offer a structured approach to gathering, tagging, and contextualizing machine and process data, creating a data backbone for advanced analytics.