SCALE
2M+
Daily Requests
Conversational AI, Financial Technology, & RAG Systems
SCALE
Daily Requests
UPTIME
System Availability
ACCURACY
With Multimodal Input
PIPELINE
Airflow Orchestrated
FALLBACK
Bedrock LLM Routing
When financial accessibility hits the ceiling of human scale
Banking at scale demands unfailing precision. The true risk is losing user trust when critical queries meet silence or context-less responses during peak demand.
The Intellema Design Challenge
Financial institutions struggle to manage millions of daily interactions while maintaining the high accuracy and context awareness required for sensitive services. Qi-Card required a system capable of handling 2M+ requests and interpreting multimodal inputs without service interruption.
The project delivered a scalable conversational architecture integrating LLMs and RAG pipelines for seamless customer experiences. It focused on implementing fallback intelligence and automated orchestration to ensure 99.9% uptime and high-performance retrieval.
Maintains smooth interactions when systems fail, routes intelligently and keeps responses fast.
Understands images, receipts, and documents, adds context so responses feel personal and accurate.
Fetches the right information at the right time, coordinates tasks efficiently behind the scenes.
Keeps everything working as changes roll out, catches issues early and protects user experience.
