Our Software
ProAIM delivers next-generation reliability and maintenance intelligence, helping industrial companies optimise performance through predictive analytics and data-driven decision-making. Our Pro-RCM platform enables manufacturers, energy operators, and healthcare facilities to anticipate failures, reduce downtime, and achieve measurable cost savings.
Root Cause Analysis
Root Cause Analysis (RCA) brings together detailed problem descriptions, CMMS/EAM records, attachments, and sensor data. Tools like Fishbone diagrams, Cause-and-Effect charts, and Fault Tree Analysis help uncover true root causes. Clear action assignments and integrated reporting streamline RCA management—delivering proven savings, including ~£850K/year at a recent refinery.
Criticality Analysis
Criticality Analysis at ProAIM gives teams a clear, structured way to understand which assets matter most—and why. Customisable risk views and automated rankings quickly highlight the equipment that drives production, safety, environmental and maintenance impact. With instant task and spares recommendations, organisations can focus effort where it delivers the greatest value, strengthening reliability and operational resilience.
Spare Parts Optimisation
This module has a proven track record in savings spares costs. It imports spare-parts data from CMMS/EAM systems and allows manual entry of parameters like MTBF, delays and costs. Simulation and batch material requirements planning calculations determine ideal min/max levels, reducing overstocking and emergency orders. This unified view of all spares supports cost-effective, uptime-focused inventory management.
FMECA
ProAIM’s FMECA module makes it easy to understand how and why assets fail—and what to do about it. By combining integrated asset data with a library of proven functions and failure modes, teams can quickly build robust analyses that highlight the most important risks. Clear Pareto and cost-benefit views guide smarter decisions, while intuitive dashboards and reports streamline the approval of actions, controls, and spares, helping organisations strengthen maintenance strategies with confidence.
Bad Actor Identification
ProAIM’s Bad Actor Identification module quickly reveals which assets are causing the most disruption—whether through cost, downtime, or repeated failures—so teams know exactly where to focus. Clear insights, collaborative investigations, and tracked improvements turn scattered work-order data into targeted action, helping organisations cut reactive maintenance, free up resources, and deliver meaningful reliability gains.
RAM Simulation
ProAIM’s RAM Analysis helps organisations see how their assets will perform long before problems arise. By combining reliability data with powerful Monte Carlo simulations, the tool reveals expected availability, costs, bottlenecks, and maintenance needs over any time horizon. The result is clear, forward-looking insight that supports smarter OPEX planning and strengthens long-term asset performance.
Data Regression
By integrating directly with CMMS/EAM systems, the Data Regression module analyses historical events using tools like Weibull, MTBF, and reliability-trend modeling. Users gain clear visibility into asset performance over selectable time periods, helping eliminate repeat failures, refine maintenance strategies, and improve uptime at the failure-mode level.
Maintenance Strategy
Import, build, and package maintenance strategies using structured task lists, then push updates directly to and from your EAM/CMMS for a single source of truth.