The global industry faces a critical inflection point. For 2026, the requirement is autonomous intelligence. Operations leaders are migrating from passive record systems to proactive ecosystems that "talk" to machines.
Systems that not only alert, but take scheduling and resource allocation decisions without direct human intervention. Manusis Hive performs automated weekly scheduling crossing availability, criticality and stock.
📊 Result: up to 60% reduction in engineers' administrative time
Detection of failures at incipient stages (P-F curve) with agnostic hardware integration: PLCs, SCADA and sensors from different manufacturers in a single centralising hub.
📊 Result: up to 20% reduction in maintenance costs
100% of functionality in the palm of the hand — including true offline mode for environments without connectivity. Manusis Mobile extends 80% of web functionality to the field.
📊 Result: +15% Wrench Time
Monitoring of energy consumption, utility leaks and waste management integrated into the CMMS. Manusis4 detects abnormal consumption patterns and supports corporate ESG goals.
📊 Result: up to 15% reduction in energy consumption
Virtual replicas of physical assets to simulate component wear before applying strategies in the real world. Manusis Insights integrates history and sensors for prescriptive management.
📊 Result: spare parts stock optimisation
Moving from the "just-in-case" model to optimised stock based on reliability data. The Manusis4 MRO Agent will suggest purchases and disposals based on failure prediction.
📊 Result: up to 25% reduction in stock costs
Complete digitisation of the Autonomous Maintenance pillar: operators report anomalies via mobile, integrated directly into the professional maintenance workflow.
📊 Result: inversion of corrective/preventive ratio to WCM standard (10/90)
Plug-and-play REST API with SAP, Oracle, Totvs and Power BI. Manusis Connect reduces integration time and cost by more than 50%.
📊 Result: holistic business view without data barriers
Companies that insist on analogue methods or disconnected systems will face unsustainable operating costs and loss of competitiveness. The future of asset management is predictive, integrated and intelligent.
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