AI is transforming much more than finance, logistics, and customer service. It is also quietly revolutionizing the backbones of industrial operations: maintenance and plant reliability.
In traditional maintenance settings, action often follows failure. Even with preventive routines, work orders are generated after warning signs become visible, or worse, after an asset has already gone down. But in today’s high-velocity manufacturing and utility environments, the cost of unplanned downtime is simply too high to rely on reactive thinking.
Smart factories are moving beyond scheduled servicing and manual tracking. They are embedding intelligence at every layer: from sensors and PLCs to digital twins and mobile-first execution. At the heart of this shift is AI, transforming maintenance from a static process into a living, adaptive system. Cherrywork’s Intelligent Maintenance and Operations (IMO) solution is helping plants lead this transformation.
The biggest shift AI-powered maintenance solutions bring to maintenance is timing. Maintenance used to be periodic. Now, it’s predictive. With IoT devices continuously monitoring temperature, vibration, electrical loads, and fluid pressures, we’re collecting far more data than any human could process in real time. That’s where AI steps in.
Cherrywork IMO applies AI-driven anomaly detection to historical and live sensor data to flag deviations far before they become failures. It also estimates Remaining Useful Life for assets using pattern recognition models trained on both OEM specifications and contextual operational history.
What’s the result? Technicians are doing much more than only reacting to problems. They are, in fact, getting ahead of them.
Every plant engineer has faced alert fatigue. Dozens of emails or dashboard pings that rarely translate into actionable work. The Cherrywork IMO gives intelligence along with the alerts. This is based on risk, asset criticality, and operational impact—whether the asset is about to cross a thermal threshold or trending toward abnormal vibration patterns.
With the additional context, these alerts become precursors to automated action. Cherrywork can generate work orders, assign the right technician, check part availability, and even evaluate FMEA data to suggest corrective paths.
One of the most prominent features of Cherrywork IMO is its GenAI-powered maintenance assistant. Picture this: A technician is in the field, faced with a blinking fault code on a motor. Instead of thumbing through a 400-page manual or calling for support, they open the mobile app and ask: “What does Fault Code E432 mean for Pump #17?”
The assistant then replies with a natural language answer, drawn from manuals, SOPs, previous job logs, and OEM knowledge bases—contextualized to the specific asset and plant environment. It’s not a chatbot—it’s a context-aware assistant designed for industrial action.
Work order systems are nothing new. But most plants struggle with fragmented systems: one for calibration, another for safety incidents, a third for asset management. Cherrywork IMO brings it all together. The system generates and assigns work orders dynamically—based on priority, available resources, and historical performance. It supports:
And it does this across online and offline environments—essential for plants with intermittent network coverage.
Maintenance not only helps keep machines running, but also helps keep people safe. Cherrywork IMO embeds safety into the maintenance process itself. With integrated digital permit-to-work systems, technicians cannot proceed with tasks unless pre-checks are completed. Lockout-tagout procedures are tracked digitally, with auditable logs for every action. This reduces compliance risks and also makes safety a lived process, not an afterthought.
Many plants today face a fragmented data reality—OT data lives in one silo, IT data in another, and maintenance records in a third. The cost is clarity. Cherrywork IMO solves this by adopting a unified namespace approach. It brings together structured and unstructured data across sensors, ERP, asset hierarchies, and job logs to build a real-time digital twin of the plant environment.
This digital twin is both visual and analytical. It feeds into dashboards that highlight:
It’s the kind of insight that moves maintenance from cost center to strategic lever.
From our experience working with complex industrial plants across sectors, we’ve seen common threads in factories that lead the way in AI-driven maintenance:
These aren’t just best practices—they’re becoming prerequisites for competing in today’s asset-intensive markets.
Plants that have adopted Cherrywork IMO have reported:
These gains are not one-off improvements but are part of a self-optimizing loop driven by data and AI.
Cherrywork’s Intelligent Maintenance and Operations solution is a complete, AI-driven environment designed to adapt to your plant’s realities.
Key features include:
Whether you’re operating a refinery, power plant, or discrete manufacturing facility, Cherrywork IMO can reduce chaos, increase equipment life, and give your maintenance team time back for high-value tasks.
In the age of AI, maintenance is no longer a background process. It’s a core differentiator. Factories that treat it as such are moving faster, safer, and leaner than ever before. Cherrywork IMO helps you get there not just by digitizing maintenance, but by making it intelligent, contextual, and future-ready.
Want to see how it works in your plant environment? Contact the Cherrywork team to schedule a walkthrough or demo.
Cherrywork Industry 4.0 suite of digital applications have digital twins that enable organizations to optimize asset operations by providing real-time insights, predictive capabilities, and simulation capabilities. They help improve asset performance, reduce maintenance costs, enhance safety, and support data-driven decision-making throughout the asset lifecycle
Would you like to do the same for your organization? If yes, then reach out to us at talk2us@cherrywork.com
