Autonomously connecting diagnostic intelligence for leaders in agriculture

Linking different types of diagnostic information

Our customer produces highly complex agricultural machinery that relies on extensive diagnostic information to support technicians worldwide. However, their existing Content Management System (CMS) could not deliver the level of interactivity technicians required.

Wiring diagrams, pin-outs, component locations, diagnostic trouble codes (DTCs), and system descriptions were stored in separate, static documents. Updating this information across the machine lifecycle required multiple authors, introduced inconsistencies, and made accurate troubleshooting difficult.

Our customer needed a scalable, intelligent way to link diagnostic information so technicians could quickly find exactly what they needed, reduce downtime, and maintain machine performance.

More accuracy, less time spent on authoring and diagnosing

The Aleido Diagnostic Authoring Tool is already transforming how the customer creates and maintains diagnostic content. By automating relationships between components and documentation, the agricultural machinery leader can reduce manual authoring effort by an estimated 30–50% over a machine’s lifecycle.

Technicians benefit from faster access to accurate information, supporting shorter diagnostic times and fewer misinterpretations. As the solution scales across platforms, the customer can expect improved machine uptime, more consistent global support, and reduced warranty costs.

Supporting the environment

Improved diagnostic accuracy also delivers sustainability benefits. Fewer unnecessary part replacements and reduced machine downtime help lower material waste and CO₂ emissions associated with servicing.

Most importantly, Aleido’s solution makes highly advanced machinery easier to understand - turning complex electrical systems into intuitive, technician-friendly workflows.