The Agnicio SSP platform revolutionizes asset maintenance by transitioning from a reactive, isolated approach to a proactive, data-driven system. By incorporating AI-powered sensing, problem-solving, and planning capabilities, it effectively addresses critical challenges in maintenance operations: dismantling data silos, preempting failures, extending asset lifecycles, enhancing safety, optimizing planning, and systematizing expert knowledge. This comprehensive solution delivers quantifiable improvements in 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, continuous problem detection and failure prediction across your entire infrastructure, facilitating proactive maintenance and maximizing asset lifecycles. Solve: Systematized solution engineering that leverages enterprise knowledge, transitioning teams from investigation to solution mode, and reducing the learning curve through AI-augmented maintenance. Plan: AI-driven maintenance planning that generates optimized schedules by balancing demand, resources, costs, and risk across functional areas and chain levels, providing control over budgets through scenario planning. Maintenance is fundamentally about foresight—anticipating needs, efficiently allocating resources, and minimizing downtime. However, many companies still depend 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. Traditional planning methods are inadequate in today’s complex operational environment. To ensure efficiency, compliance, and cost control, companies require a dynamic approach—one that adapts to shifting constraints and optimizes every decision. Many key insights necessary for creating the optimal maintenance plan are not 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. This is 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 maintain control over budgets while ensuring operational excellence. Together with predictive and augmented maintenance, our planning solution forms a complete ecosystem—helping you sense, solve, and plan for every maintenance challenge.