Erhöhung der Effizienz und Sicherheit in der Fahrzeugerprobung durch KI
As vehicles become more complex, the demands on test drivers also increase. Our AI-supported co-driver enables seamless information exchange in real time, improves data quality, and reduces the driver's workload. This leads to greater safety, faster processes, and reduced costs.
Mitarbeitende entlasten
Unsere Digitale Mitarbeiterin SUSI übernimmt in der Arztpraxis von Dr. Eckermann und Bauer die Telefonanrufe. Dabei werden die Anliegen der Betroffenen erfasst und für die Mitarbeitenden aufbereitet.
24/7 incident management of the AI
Disruptions in the modern supply chain cause high costs and time losses. Our AI SUSI detects problems around the clock in natural dialogue and triggers workflows in real time. Whether by phone or chat, SUSI makes delivery delays transparent, initiates processes in the event of transport damage, and automatically compensates for shortages. This shortens or avoids harmful special processes and increases the efficiency of your logistics.
SmartOffice unterstützt die Intralogistik
Rufen betroffene Unternehmen den Kundenservice von MFI an, erreichen Sie entweder direkt eine technische Fachkraft für den Service oder, sollte diese gerade nicht verfügbar sein, unser SmartOffice.
AI-assisted passenger
Through the Digital Assistant SUSI, our product is able to provide real-time feedback to the driver on the degree of fulfillment of the test scenarios or even information about the vehicle via speech in defined situations or at the driver's verbal request.
Bearbeitungszeiten minimieren
In law firms, the volume of telephone calls often exceeds the capacity of the secretariat, especially at peak times. Our AI solution, the digital employee SUSI, supports the secretariat by taking over calls and classifying them according to topic. SUSI asks specific queries, answers questions directly and forwards summaries with file numbers to the relevant department or legal representation. In addition, SUSI informs callers about documents to be sent in advance, which reduces callbacks and increases throughput times.