Intelligent pre-reception
Turns the customer conversation into structured symptoms, open questions and a reviewable booking request.
Conversational AI, entity extraction and dynamic formsAI can prepare reception, assemble technical evidence and coordinate work and parts while diagnosis and safety remain professionally supervised.
A repair order connects customer-described symptoms, history, campaigns, diagnosis, workshop capacity and parts availability. Structuring this information can reduce waiting and improve continuity between service reception, technician, parts and customer communication.
Suggestions must distinguish facts, hypotheses and pending tests. No model should authorise a repair, declare a vehicle safe, alter vehicle systems or replace manufacturer procedures and qualified technical judgement.
Each application should be validated against the process, available data and the organisation's actual risk.
Turns the customer conversation into structured symptoms, open questions and a reviewable booking request.
Conversational AI, entity extraction and dynamic formsRetrieves relevant procedures, bulletins and history and suggests tests with source citations.
RAG, hybrid search and version controlSuggests slots based on estimated work, specialism, resources and confirmed parts for the workshop manager to decide.
Constraint optimisation and duration predictionRelates bookings, serviced vehicle population, seasonality and usage to flag stock lines for review.
Hierarchical forecasting and inventory analyticsChecks that operations, parts, time, evidence and authorisation are complete before closure.
Business rules, document extraction and validationDrafts clear updates from confirmed milestones and requests approval when price or timing changes.
Grounded generation, DMS events and templatesThe workflow organises evidence without turning hypotheses into diagnoses.
Structure symptoms, context, vehicle, history and customer consent.
Find current documents, campaigns, applicable tests and resource availability.
The technician runs tests, confirms the diagnosis and records evidence.
Customer and managers approve changes; the system checks documents and communicates milestones.
The architecture adapts to each provider's APIs, permissions and limits. These are common tools and categories that would need validation.
A six-week pilot could be limited to scheduled maintenance bookings at one site. The assistant would collect advance details, check parts and capacity, and prepare the reception order; service advisers and the workshop manager would review everything before confirming with the customer.
A sensible starting point is repetitive, verifiable work such as intelligent pre-reception, document-based diagnostic assistant, workshop planning. Scope depends on available data, current tools and required controls.
Not necessarily. A pilot can connect to systems such as DMS, CRM and booking, Parts catalogue, Manufacturer technical portals and initially be limited to reading, preparing or proposing actions before automatic writes are allowed.
Diagnosis, repair, road testing and declaration of vehicle fitness remain with authorised technicians. No parameters or commands are written to the vehicle; diagnostic data are read with permissions and traceability. Estimates, additional work and material communications require consent and a verifiable record.
A six-week pilot could be limited to scheduled maintenance bookings at one site. The assistant would collect advance details, check parts and capacity, and prepare the reception order; service advisers and the workshop manager would review everything before confirming with the customer.