Input for You, the Belgium-based document processing specialist, has integrated Netcall’s AI-driven Liberty IDP platform to automate and accelerate insurance and health-insurance claims. Since deployment, average claim payback times have fallen from 20 days to under four, and straight-through processing rates now reach up to 95% for certain document types.
Key outcomes
- Reduced turnaround: Claim processing times cut from 20 days to under four
- High automation: Straight-through processing rates of 70–80%, peaking at 95%
- Improved accuracy: 99.5% data-extraction precision across inbound workflows
- Paper-to-digital conversion: 92% of customer correspondence digitised for major health-insurer client
Streamlined operations
Previously, Input for You relied on 200 data-entry staff working in a dual-entry system, plus additional teams for scanning, validation, and system maintenance. Now, Liberty IDP’s AI classifies documents, extracts key data and metadata, and delivers structured files directly into clients’ backend applications. This shift has freed employees from manual tasks, enabling the business to scale and onboard larger contracts without expanding headcount.
Client perspective
“Using Liberty IDP has greatly improved our efficiency and ability to meet customer needs. With Liberty IDP technology handling document processing, we can focus on building strong customer relationships, supporting their core business and reinforcing our position in the industry.”
— Alain Dewispelaere, Chief Customer Value Officer, Input for You
“The partnership has been incredibly rewarding, built on a strong mutual understanding and excellent responsiveness. Collaborating with Liberty IDP has enabled us to process documents more quickly and accurately, leverage AI effectively, reduce reliance on manual teams and maintain full compliance with regulations.”
By embedding Netcall’s AI automation, Input for You now delivers faster, more reliable claims handling that meets rising demand for digital transformation in the insurance sector.
