--- title: "AI CMMS: failure diagnosis and prioritization | attendo" description: "AI-CMMS suggests a probable diagnosis and a criticality score for every breakdown. It summarizes the technician’s voice note and answers asset questions." url: "https://attendo.me/en/modules/ai-cmms" lang: "en" --- # The overnight breakdown, prioritized by 9 AM When you get in, the overnight breakdown already has a probable diagnosis and a criticality score. The technician’s voice note is written up on the work order. And you make the call. - Without AI, the CMMS works in full - Criticality weights you adjust - The cost of each operation, in plain view ## AI-CMMS: what it does ### Probable diagnosis With AI Autopilot (Multiple AI Agents) on corrective work orders, marIA reads the ticket. It suggests the asset, the symptoms, the probable causes and a recommended action. Whoever reviews it skips the reading, not the judgment. ### Criticality score Every corrective work order gets a score from 0 to 100. It weighs asset criticality, impact, SLA risk, status and recurrence. You adjust the weights. ### The voice note, in writing The technician records what they found and what they recommend. marIA transcribes it and leaves a summary on the work order and in the asset history, without anyone typing it up. ### Questions for your data You ask which line has the most downtime or how MTBF is doing. The chat answers in plain language, read-only, with the 22 KPIs on the dashboard and the same figures. ### Search your manuals From the work order, the technician asks for a torque value and marIA answers, citing the manual and the page. The answer comes from your documentation, not someone else’s. ### Maintenance rules in plain language “If an asset has two corrective work orders in 30 days, notify the maintenance manager.” You describe it and marIA proposes the flow. You review it, switch it on and, if it does not work for you, undo it. ## Step by step This is how it is used day to day, on the same document as the rest of the modules. ### Step 1 · Connect your provider and set the cap Your key, your provider and a monthly budget that stops the AI once it is reached. ### Step 2 · Turn on AI Autopilot for corrective work It is turned on per document type. For preventive maintenance, the usual choice is to leave it without AI. ### Step 3 · The breakdown comes in By QR code, email or portal. marIA suggests the probable diagnosis and the score, and explains it in the AI activity. ### Step 4 · The person in charge takes over They review, assign and schedule. If they claim the work order, the agents stop touching it. ### marIA in AI-CMMS marIA suggests the probable diagnosis, scores criticality, transcribes and summarizes voice notes and answers questions about your data. For predictive maintenance, AI models work on readings from your sensors and IoT devices, connected natively. It does not assign, repair or close work orders. Every operation is logged with who started it, the model and its cost. Spending has the monthly cap you set. [See attendo CMMS](https://attendo.me/en/cmms). ## It fits every area Industry solutions [attendo CMMS](https://attendo.me/en/cmms) ### Industries that use it - [Manufacturing and industrial plants](https://attendo.me/en/industries/manufacturing): Preventive, corrective and predictive on the same asset - [Energy and renewables](https://attendo.me/en/industries/energy-renewables): Every piece of equipment, with its warranty and readings - [And any other business](https://attendo.me/en/industries): attendo can be set up for any line of business. See all industries ## Where it fits (and where it does not) - It does not assign technicians, repair anything or close work orders. ## Modules that go hand in hand ### [AI Autopilot (Multiple AI Agents)](https://attendo.me/en/modules/ai-autopilot) Micro-agents that score and prioritize. You take the wheel. ### [AI-Chat and DB Assistant](https://attendo.me/en/modules/ai-chat) Ask in plain language. Get answers from your data, with the source. ### [attendo Flows, Business Process Flow (BPF) and AI-Flows](https://attendo.me/en/modules/flows) Flows, phased processes with approvals, and AI inside the flow ### [attendo Checklist](https://attendo.me/en/modules/checklists) Inspections with photo, signature and location, closed on site ## Glossary terms Maintenance ### Asset criticality Equipment criticality Asset criticality is the impact that an asset’s failure has on service, production or safety. It helps you share out a maintenance budget that is always limited. Maintenance ### Corrective maintenance Corrective maintenance is the work done after a piece of equipment fails, to bring it back into service. Maintenance ### Predictive maintenance PdM Predictive maintenance decides when to intervene based on the real condition of the equipment, measured through vibration, temperature, power draw or oil analysis, not by calendar. [See all 53 glossary terms](https://attendo.me/en/glossary) ## Frequently asked questions ### Is this AI-driven predictive maintenance? Yes. Predictive maintenance uses AI models on readings from your sensors and IoT devices, which connect natively. And marIA helps you prioritize today’s breakdown. ### Can the diagnosis be wrong? Yes, which is why it is a probable diagnosis and labeled as such. A person reads it before acting. ### Does my plant data go to OpenAI? For the diagnosis, the text of that work order is sent. The rows in your tables, such as assets and failures, only go to Scaleway or to your Microsoft 365 Copilot out of the box. The KPI chat sends an aggregated summary, with the names of plants, assets, plans and clients, to the provider you configure for it: if you do not want those names to go to another provider, configure Scaleway or your Microsoft 365 Copilot. ### Can I use the CMMS without AI? Yes, in full. AI-CMMS is an optional layer of [attendo CMMS](https://attendo.me/en/cmms) and is turned on piece by piece. ### Do my technicians have to learn how to use AI? No. They send a voice note and it shows up in writing on the work order. It is less work, not more. ## Try it with your processes We will show it to you with your own document types and the way you work. If it is not a fit, we will tell you. - With your operation, not a generic demo - A real person from our team replies - No cold calls afterwards Would you rather talk first? - Phone [+34 910 053 530](tel:+34910053530) - Email [sales@attendo.me](mailto:sales@attendo.me) - Monday to Thursday 9:30 AM to 6:30 PM and Friday 9:30 AM to 2:30 PM (Spain time)