askSara.ai

askSara.ai, commonly shortened to Sara, targets a specific operational problem: equipment service teams are asked to finish more repairs without adding headcount. Sara is positioned as a single AI-powered platform for managing equipment service jobs end to end, from the moment a request arrives to the automatic documentation of finished work.

The troubleshooting module is trained to understand complex manuals, wiring diagrams and exploded views, so a technician can move from an error code to the correct spare parts in minutes. Job planning then prepares each intervention before dispatch: Sara analyses the request, infers the likely fault, checks parts availability and assembles the right guidance. Warranty work, planned maintenance and breakdowns each get appropriate steps and required fields. The same platform handles first-line support, answering incoming calls, resolving technical questions and routing complex cases to a specialist with the transcript, asset details and suggested checks attached.

Beyond day-to-day work, askSara.ai turns service history into decisions. Asset intelligence highlights which machines cost the most before the next purchase, stock optimisation suggests reorders while flagging dead stock, and operations reporting shows where service work slows down. The platform markets itself as adaptable across industries that deal with complex equipment, naming mobile equipment, power generators, and construction and rental equipment as examples, with agriculture and manufacturing also mentioned. Sara is also available as a mobile app on iOS and Android.