Application fields

Use cases

AI creates different leverage depending on the function. Select a department to see where concrete prototypes are possible within weeks. The stated targeted impacts are corridors derived from literature and comparable projects — not ATTEC references.

Service report assistant

Problem: Field technicians spend 30–40% of their time on post-visit documentation — manually and error-prone.
Solution: AI assistant creates structured reports from short voice memos or bullet points.
Targeted impact: 60–70% less documentation time. Higher data quality in the service system.

To prototype: 3 weeks

Knowledge assistant for customer service

Problem: Service staff must search extensive manuals and FAQs on every customer call.
Solution: AI-powered knowledge assistant knows all products, troubleshooting guides, and common cases.
Targeted impact: Shorter call times, fewer escalations, higher first-contact resolution rate.

To prototype: 4 weeks

Predictive maintenance assistant

Problem: Maintenance intervals are based on standard values, not actual equipment condition.
Solution: AI evaluates sensor data and service history to recommend optimal maintenance windows.
Targeted impact: Fewer unplanned outages. Lower maintenance costs.

To prototype: 6 weeks