TransparencyWins
Case studies
Cutting Response Time by 95% in Customer Service

Case study

Cutting Response Time by 95% in Customer Service

InsurancePoland

Case study summary

We developed a custom web-based AI platform to automate the classification and data extraction of inbound emails and attachments. The system analyzes each message, identifies one of 12 key service categories, and extracts key fields (policy number, name, date, etc.) from email text and scanned, handwritten documents. Our solution was built with security, compliance, and scalability as integral design principles rather than additional layers. To handle GDPR and security requirements and to accelerate the PoC, we hosted the open-source LLM on an internal, secure infrastructure. The 3-week PoC confirmed both the technical and business viability of the solution, ensuring key stakeholder buy-in and laying a strong foundation for full-scale development.
View original case study

TransparencyWins ecosystem context

This case study was contributed by deepsense.ai, a software engineering partner represented in the TransparencyWins ecosystem. Case studies make delivered project experience, project context and reported outcomes visible to tech buyers. Review this contribution together with available client testimonials, partner insights, certifications and other company signals when evaluating relevance for a sourcing need.