The Challenge
The manual processing and classification of documents is time-consuming and error-prone. Customer reps struggle with documents with different structures submitted by mail, e-mail, or fax. Crooked document scans, illegible handwriting or different graphics in one file significantly increase the manual effort.
Solutions
Our input management optimizes document processing with flexible, AI-supported automation. Multi-modal models automatically recognize different document types, graphics, and images, while extracting data from texts, images, and handwritten notes quickly and efficiently. Documents are seamlessly integrated into existing systems, therefore significantly improving customer service processes.
Lena, a customer, reports a claim. She sends photos of an accident scene, a handwritten note, and a scanned contract to her claims handler.
The multi-modal model automatically recognizes the document types (photo, note, contract).
The solution extracts the relevant information, such as the contract number, handwritten comments, and image details.
The claims handler has instant access to all information and can process the case efficiently without any manual intervention.
Advantages
Our input management with multi-modal models can process a variety of media formats such as text, handwriting, and images.
Automated document processing reduces manual work and speeds up processing, making it faster to respond to customer inquiries.
The automated processing minimizes errors, ensures accurate data collection, and provides dependable information processing.
