Maintenance logs automatically analyzed – defects identified, costs reduced
In technical property management, maintenance logs are the central basis for maintenance decisions. However, these documents are often scattered – in different formats, sometimes only on paper, without a central record of documented defects. The result: delayed decisions, overlooked weaknesses, and unnecessary operating costs. With EVANA's AI solution, all maintenance logs were automatically analyzed, all documented defects were systematically recorded, and a sound basis for decision-making was provided in a very short time.
problem
Maintenance logs were scattered and sometimes only available in paper form. Defects were not centrally recorded, and decisions regarding repairs and upgrades were delayed.
Solution
EVANA automatically analyzed all maintenance logs, identified all documented defects, and provided the results in a structured format – regardless of format or language.
Result
Informed decisions on prioritizing repairs in record time. Targeted modernization of inefficient systems – with a measurable effect on operating costs.
From protocol chaos to a central overview of deficiencies
Maintenance logs accumulate over years – in various formats, from different service providers, sometimes handwritten or in different languages. Manually evaluating these records is time-consuming and prone to errors. Crucially documented defects can easily be overlooked. EVANA's AI solution automatically searches and analyzes all maintenance logs – regardless of format, structure, or language – and consolidates all relevant defect information in one central location.
Smart defect analysis with EVANA AI
EVANA AI reliably identifies all documented defects – whether in digital PDFs, scanned paper reports, or foreign-language documents. All relevant information is captured in a structured manner and made available centrally.
This creates, for the first time, a complete, evaluable overview of the condition of all facilities and objects.
Make faster decisions – invest strategically
Knowing which systems require the most urgent attention allows for targeted use of maintenance budgets. EVANA's automated defect analysis provided a complete overview within a very short time – prioritized by urgency and directly usable as a basis for decision-making. This enabled quick, well-informed decisions about which systems needed to be renewed or repaired first – without weeks of manual preparation.
Sound basis for decision-making
Within a very short time, all relevant defect information was available in a structured and prioritized manner. Which systems should be replaced first, which should be repaired, and which should continue to be monitored – all of this could be decided quickly and soundly based on the EVANA analysis. Without delays, without information gaps.
Targeted energy and cost savings
Inefficient systems cause unnecessary operating costs – often for years – due to a lack of oversight. EVANA's rapid and comprehensive defect analysis enabled the early identification and targeted resolution of critical weaknesses. Modernizing inefficient systems had a measurable impact on operating costs – demonstrating what is possible when decisions are based on a complete data foundation.
More than just maintenance logs
The solution is based on the proven EVANA infrastructure and can be flexibly extended to include other document types in technical property management. New document types can be quickly integrated, additional data fields defined, and existing processes expanded. This allows for the automated analysis of not only maintenance logs but also inspection reports, damage assessments, ESG documentation, technical manuals, and service provider reports.
This provides companies with a scalable solution for the automated processing of technical document repositories – and creates a structured data basis for faster decisions, targeted investments and sustainably reduced operating costs.
About EVANA
EVANA develops AI-powered solutions for analyzing large volumes of documents. Based on its own infrastructure, unstructured content is automatically recognized, extracted, and presented in a structured format. This gives companies faster access to relevant information and creates a reliable data foundation for analyses, processes, and decisions.
