AI Enabled Failure Reports
Ultimo helps users create better reports by suggesting relevant symptoms and observations based on the selected asset. Reporters simply choose the most relevant suggestions instead of typing everything manually. This ensures technicians receive richer, more consistent information from the start. The result is faster diagnosis, reduced downtime, and more reliable maintenance data across your organization.
Automatic Image Descriptions in Failure Reports
Images in failure reports often contain valuable information but lack context due to unclear descriptions. Ultimo automatically analyzes uploaded images and generates meaningful descriptions of what is visible. These descriptions are stored with the image, making reports easier to understand, search, and analyze later. Maintenance teams gain instant visual context without extra effort, improving collaboration and strengthening the quality of failure documentation.
Photo Based Meter Readings
Although an increasing number of meter readings are processed digitally, a significant share still remains unconnected or analog. Registering meter readings manually can be slow and prone to mistakes, especially in hazardous or difficult-to-access environments. With Ultimo Go, technicians simply take a photo of the meter. The system automatically detects the numeric value using image recognition technology. The technician only needs to verify the detected number before submitting it. This significantly reduces manual input, speeds up inspections, and ensures more reliable meter data for maintenance and performance analysis.
AI Work Instruction Generator
Writing clear work instructions can be time consuming and often creates inconsistencies. The AI Work Instruction Generator instantly creates structured draft instructions based on the asset and reported symptoms. It suggests likely root causes and generates practical step by step guidance for technicians. Even short planner notes can be refined into clear instructions. This helps teams standardize documentation, reduce preparation time, and execute maintenance work in a more structured and efficient way.
Completed Activities Suggestions
Important information is often lost when technicians finish work orders without detailing findings and performed activities. Ultimo assists by suggesting completed activities when finishing a work order based on the failure details. Technicians can quickly confirm or adjust these suggestions before submitting the job. This captures valuable maintenance knowledge with minimal effort, strengthens the failure history, and helps teams resolve similar issues faster in the future.
RCA Follow Up Assistant
Root Cause Analyses only deliver value when they lead to effective action. The RCA Follow Up Assistant helps reliability engineers translate findings into clear and realistic follow up steps. It suggests practical actions, improvement tasks, or change measures and describes them in structured language. This makes follow ups easier to execute, track, and communicate, ensuring RCA efforts lead to real improvements in asset reliability.
HSE Incident Measure Assistant
Organizations often struggle to take corrective actions based on EHS incidents because they are vague, hard to measure, or not realistic to implement. This weakens follow-up and increases the likelihood of recurrence. An intelligent assistant helps to suggest clear, practical, and feasible actions that are based on the context of the incident. It ensures recommendations are measurable and aligned with how work actually gets done. This helps teams move faster and improves the quality and impact of incident follow-up.
Coming soon
Part Optimization Characteristics Generator
Many spare part records lack key technical characteristics, making it difficult to find the right part quickly. AI analyzes available descriptions, specifications, and related data to suggest relevant characteristics automatically. These suggestions enrich part records and improve searchability, comparison, and substitution of parts. The result is a more complete part catalog, faster part selection, and smoother maintenance operations across the Ultimo platform.
Assisted Troubleshooting
When failures occur, technicians need quick access to relevant historical knowledge. Assisted Troubleshooting uses vector based search to identify similar past failures, even when they were described differently. Related incidents are grouped by root cause and resolution approach, allowing users to quickly explore proven solutions. This helps maintenance teams diagnose issues faster and reduces reliance on the experience of individual technicians.
AI Generated Inspection Lines
Organizations often rely on unstructured work instructions because defining structured inspection lines takes time. AI can convert these plain instructions into structured inspection lines automatically. It identifies the correct inspection types such as tasks, measurements, or visual checks and creates the necessary inspection lines. This enables consistent data capture, better follow-up actions, and more effective inspection analysis without increasing configuration effort.
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