What does the Machinery Maintenance AI Agent do? The Machinery Maintenance AI Agent applies AI to machinery maintenance in construction and other plant-intensive industries, as part of DANAOS ProjectVIEW AI. It is designed to flag abnormal fuel use, idle time and maintenance risk across the fleet, using machinery, fuel and usage data in ProjectVIEW ERP, and to recommend maintenance or reallocation. The plant and machinery manager approves every work order. Which ProjectVIEW ERP data does it use? The agent uses the data in the Machinery Management module of ProjectVIEW ERP, where each machine’s cost is booked to WBS elements and Cost Codes. Fleet register, hours and allocation to projects Fuel issues and consumption Maintenance history, schedules and spare parts Machine cost booked to activities Telematics or IoT data, where connected How does it work? The agent follows the ProjectVIEW AI agent cycle. Applied to machinery: Detect: find machines with fuel use, idle time or hours outside their normal pattern. Investigate: compare with similar machines, the activity they are booked to and their maintenance history. Explain: state the likely cause, for example a machine idling on site or overdue servicing. Recommend: propose a service, an inspection, a reallocation or a return to yard. Request approval: send the recommendation to the plant and machinery manager. Execute: after approval, create the work order or reallocation in ProjectVIEW ERP. Audit: record the finding, the decision and the outcome. Because machine data is linked to activities, the agent can also report fuel use and CO₂ per activity for ESG reporting. What goes in, what comes out and where does a person approve? Main inputs, outputs and decision points: Inputs Outputs Human approval point Fuel issues and machine hours Machines with abnormal fuel use or idle time Plant manager confirms which to investigate Maintenance history and schedules Machines at risk of breakdown or overdue service Plant manager approves work orders Allocation to projects and activities Under-used machines and reallocation options Project managers agree the move Machine cost and fuel by activity Cost and CO₂ per activity Management reviews for ESG reporting How is the agent governed? The Machinery Maintenance AI Agent works inside ProjectVIEW ERP governance, following the chain Identity → Role → Permission → Data → AI → Action. It sees only the data the user’s role allows and proposes only actions that role could take. AI should operate inside enterprise governance, not around it. Consequential actions always need human approval. Every recommendation, approval and change is recorded for audit. Data stays in the client’s private environment and is not sent to public consumer AI services. Example: how could it work on a project? Illustrative example. A contractor runs a fleet of excavators and trucks across three sites, including Project F. The agent notices that one excavator on Project F shows fuel use well above similar machines on comparable work, while another machine on the same site has logged many idle hours. It explains both findings, recommends an inspection of the first machine and moving the idle one to a site that has requested capacity. The plant manager approves the inspection work order, the project managers agree the transfer, and both actions are logged. Who uses it? The agent is designed for the people who own plant and equipment: Plant and machinery managers responsible for availability, maintenance and fleet cost Project managers and ESG teams who need machine cost and emissions per activity It applies to construction and mining and quarrying, where equipment is a major part of operating cost. Frequently asked questions What can AI machinery maintenance in construction detect? The agent is designed to detect abnormal fuel use, idle time, unusual hours and overdue servicing by comparing each machine with its own history and with similar machines on similar work. Does it need telematics? No. It can work on the fuel, hours and maintenance data recorded in ProjectVIEW ERP. Telematics or IoT data, where connected, adds detail. Can it create maintenance work orders? It prepares a recommended work order. The plant and machinery manager approves it before it is created in ProjectVIEW ERP. How can you see it on your own data? See how the Machinery Maintenance AI Agent is designed to work on your own fleet data. See all agents on the ProjectVIEW AI agents page. Related reading: The hidden cost of machines: why equipment management defines construction profitability. Book a Demo