Mobile work, artificial intelligence and cloud delivery remain relevant when selecting maintenance software. In 2026, the useful question is which specific task a capability improves and how that improvement can be verified. A trend label is not evidence of value.
1. Mobile work at the equipment
Technicians need applicable information and a straightforward way to record results. Test the actual devices, coverage and interrupted connections. A mobile screen does not resolve missing documents or unclear responsibility.
A useful trial starts with an issue report and ends with an understandable asset history. Observe duplicate entry and the questions that arise during the work.
2. Evaluate AI through a defined task
Searching approved documents, summarising text and forecasting a failure require different evidence. For each feature, check data sources, permissions, supporting references and handling of incorrect results.
- Test cases: use known examples, including missing or contradictory information.
- Technical review: decide who checks outputs and which decisions require human approval.
- Value: compare effort and quality with the existing method, including the cost of correcting mistakes.
AI does not replace an approved work instruction or competent safety assessment. ELARA presents Copilot and the illustrated AI use cases as planned concepts. Availability should not be inferred from a general product vision.
3. Reliable data and an operable cloud service
Shared records are useful when assets are identified consistently, documents are maintained and feedback is understandable. Establish rules for required information, changes and substitute responsibility. Check export, permissions and the process during a service outage.
Germany's BSI provides guidance on secure cloud use. Security claims should be supported by evidence covering the actual service.
What to add to the 2027 preparation list
The EU Machinery Regulation from 20 January 2027 makes clear change processes and accessible machinery documentation particularly relevant. It does not require purchasing a particular CMMS.
Choose the next improvement from an observed operational bottleneck. A better transition from request to assigned work may be more valuable than adding a feature for which no suitable data or accountable process exists.
