A globally recognized intergovernmental organization managing migrant health screenings in Japan faced growing challenges in its support operations. The J-IMS platform, built to manage pre-entry tuberculosis screenings, saw a sharp rise in user queries. Delays in response, limited language support, and the absence of a self-service model strained the support team and affected user satisfaction.
Accion Labs stepped in to design and implement an AI-powered virtual assistant that transformed the support experience across the board:
- Multilingual conversational AI using Azure OpenAI and NLP for contextual accuracy
- Voice and document-driven query resolution with real-time insights
- Smooth ticketing automation through Fresh Service integration
- Scalable and secure deployment on Microsoft Azure
- Power BI dashboards for performance analytics and user engagement
Business Impact
- 60% faster resolution times
- 35% gain in team productivity
- 30% fewer manually raised tickets
- Better accessibility and user experience for a global audience
Download the full case study to see how Accion Labs delivered intelligent, scalable support automation for a critical healthcare screening system.
