The Agnicio SSP platform transforms asset maintenance from a reactive, siloed approach to a proactive, data-driven system. By integrating AI-powered sensing, problem-solving, and planning capabilities, it addresses critical challenges in maintenance operations: breaking down data silos, preventing failures before they occur, extending asset lifecycles, enhancing safety, optimizing planning, and systematizing expert knowledge. This comprehensive solution delivers measurable improvements across operational performance (reducing unplanned stops by 35-45%), financial outcomes (decreasing maintenance costs by 15-20%), and productivity (increasing by 25-30%), while making maintenance more predictable, efficient, and effective.

Sense
AI-driven 24/7 problem detection and failure prediction that spans your entire infrastructure, enabling proactive maintenance and maximizing asset lifecycles.
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Solve
Systemized solution engineering that taps into your enterprise knowledge, moving teams from investigation mode to solution mode while reducing the learning curve through AI-augmented maintenance.
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‍Plan
AI-driven maintenance planning that generates optimized schedules by balancing demand, resources, costs, and risk across functional areas and chain levels, giving you control over budgets through scenario planning.
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Maintenance is all about staying ahead—anticipating needs, allocating resources efficiently, and minimizing downtime. Yet, many companies still rely on static planning methods that struggle to balance demand, costs, and risk. Without an intelligent, data-driven approach, maintenance planning can quickly become reactive rather than strategic.

The reality is, traditional planning methods don’t cut it in today’s complex operational environment. To ensure efficiency, compliance, and cost control, companies need a dynamic approach—one that adapts to shifting constraints and optimizes every decision.

Many of the key insights needed to create the optimal maintenance plan aren’t captured in standard planning tools. Leveraging AI-driven algorithms and data-driven logic enables smarter, cross-functional planning—ensuring that shutdowns, turnarounds, and outages are optimized across the entire value chain.

That’s why we developed an AI-powered maintenance planning solution. It intelligently generates and optimizes maintenance plans, balancing demand, resources, costs, and risk. With built-in scenario planning, it helps you maintain control over your budgets while ensuring operational excellence.

Together with predictive and augmented maintenance, our planning solution forms a complete ecosystem—helping you sense, solve & plan for every maintenance challenge.