Deutsche Schaden-Service: 5x Faster Insurance Claims with AI Input Management

Deutsche Schaden-Service (DSS), one of Germany's leading claims management service providers, reduced average case handling time from 10 minutes to 2 minutes and saved 80% of manual processing effort by deploying an AI-driven Input Management solution that captures, classifies and routes incoming customer requests across multiple channels. "This is exactly the type of workflow that shows how AI can scale operations across industries," the DIGITALL project team explains. "By combining intelligent automation with human oversight, organizations can increase efficiency while maintaining control over quality and outcomes." DSS handles around 15,000 inherently diverse property and liability claims per year. Growth ambitions were constrained by the manual review, classification and routing required for each case, creating a bottleneck that prevented the organisation from scaling. The company partnered with DIGITALL, a European provider of digital solutions with 25 years of experience and a team of 1,000 experts operating from 16 locations across eight countries. The DIGITALL-designed solution captures customer requests from email and digital channels, extracts the key details, and automatically sends them to the downstream system for further processing. A human-in-the-loop safeguard ensures that if data transfer ever fails, the case is handed to an employee who can quickly check the information and resend it — a step that only happens in rare cases but keeps the workflow reliable and the data accurate. For DSS, this was one of the company's first practical AI use cases, delivered with DIGITALL's support. By automating intake and classification, DSS enabled growth without additional full-time staff, freeing employees to focus on actual case handling instead of being slowed down by manual data entry and routine work. DIGITALL describes the project as a strong example of its AI portfolio. The announcement does not name the AI models or products used.