# Elevāt AI Turns Machine Data Into Service Intelligence

Built for OEMs, dealers, and service teams, Elevāt AI brings machine context, repair knowledge, and proactive analysis into the service workflow, helping teams diagnose faster, execute consistently, and reduce downtime.

Built for mobile off-highway OEM ecosystems.

## The Service Reality

### Service Teams Are Under Pressure

OEM service organizations are managing more complex machines, tighter technician capacity, and higher customer expectations. When service teams lack the right context before dispatch, repairs take longer, repeat visits increase, and dealer performance becomes harder to standardize.

### Equipment Complexity

Machines are increasingly software-driven, making diagnostics harder to scale across technician teams.

### Technician Knowledge Gaps

Experienced technicians are retiring faster than new technicians can replace their expertise.

### Disconnected Service Data

Machine data, manuals, service history, alerts, and warranty information often live in separate systems.

### Reactive Service Execution

Without early context, teams respond after issues disrupt uptime, increasing costs and service delays.

## AI Built for the OEM Service Workflow

Elevāt AI combines connected machine data, OEM service knowledge, repair history, and technician workflows into one intelligence layer. Instead of adding another disconnected tool, Elevāt AI supports service teams inside the work they already need to complete, from issue detection to repair execution and resolution feedback.

1. ### Machine data is captured in real time  
   Fault codes, telemetry, alerts, operating context, and asset history are captured from connected equipment.

2. ### Elevāt AI analyzes service context  
   AI detects patterns, identifies likely issues, and surfaces recommended actions based on machine data and OEM knowledge.

3. ### Technicians execute with guidance  
   Service teams receive repair direction, parts context, and case history to support faster, more consistent resolution.

## What Elevāt AI Supports

### AI Technician Assistant

Turn every technician into a more informed technician with contextual repair guidance based on OEM manuals, service history, alerts, and machine data.

- Guided diagnostics  
- OEM repair standards  
- Likely issue identification  
- Parts and repair step recommendations  
- Faster technician onboarding

### Proactive Analysis

Identify patterns across machine data, operating conditions, alerts, and service history to help teams act before issues become larger service events.

- Early issue detection  
- Failure pattern recognition  
- Service recommendations  
- Reduced unplanned downtime  
- Better service planning

### Dealer Network Support

Help dealers execute service with more consistent context, clearer workflows, and better access to machine intelligence.

- Prepared dispatch  
- Complete case context  
- Reduced repeat visits  
- Improved first-time fix rates  
- Dealer performance visibility

### Service Feedback Loop

Use service outcomes to improve future recommendations, strengthen product insight, and support aftermarket decision-making.

- Repair outcome tracking  
- Warranty trend visibility  
- Parts accuracy improvement  
- Product feedback for OEM teams  
- Continuous service improvement

## Embedded Across the Service Lifecycle

Elevāt AI supports each stage of service execution, helping teams move from reactive response to controlled service.

1. ### Before Visit  
   Reactive dispatch and repeat truck rolls become prepared service visits with root cause and parts context defined before dispatch.

2. ### During Repair  
   Diagnostic variability becomes guided execution with OEM repair standards surfaced inside the workflow.

3. ### Escalation  
   Experts overloaded with limited context get complete case history for faster review and resolution.

4. ### Parts & Warranty  
   Warranty exposure and parts waste are reduced through failure trend intelligence and improved parts accuracy.

## From Reactive Service to Operational Control

Elevāt AI moves OEM service teams from unpredictable, reactive response into a controlled, repeatable model that protects uptime, technician capacity, and aftermarket margin.

### Lifecycle Stage  
| Reactive State                             | Controlled State with Elevāt AI               |
|-------------------------------------------|----------------------------------------------|
| Before Visit                              | Reactive dispatch and repeat truck rolls     | Root cause and parts defined before dispatch |
| During Repair                             | Inconsistent diagnostics across technicians    | OEM repair standards enforced inside the workflow |
| Escalation                                | Experts overloaded with limited case context   | Complete case context for rapid expert review |
| Parts & Warranty                          | Warranty exposure and parts waste            | Failure trend intelligence improves parts accuracy

## Elevāt AI in the Technician's Hands

Machine context, repair guidance, and OEM knowledge surface where service work happens, on the desktop and on mobile in the field.

Service teams see machine context, alert history, and AI-suggested repair direction in one workflow.

Technicians chat with the AI assistant from the field for guided diagnostics and parts context.

## Elevāt Mobile App

The Elevāt mobile app extends service intelligence into the field, giving teams access to machine insights, alerts, and service information when they are away from the desk. Dealers, technicians, and support teams can stay connected to equipment needs, respond faster, and keep service activity moving with stronger visibility.

## Secure AI for Industrial Equipment Data

Elevāt AI is designed for OEM and enterprise service environments where machine data, manuals, service history, and business system information must remain protected. Elevāt uses Azure AI infrastructure within a controlled SaaS environment, with customer data isolated at the application and data layer.