The "Form" Barrier to Credit
Traditional banking relies on web portals and physical branches. However, in mobile-first economies (Africa, South America, and parts of Europe), complex web forms result in massive drop-off rates. They require high data usage and desktop-style literacy.
The Opportunity: For a significant portion of the global population, the internet *is* WhatsApp. The objective was to move credit origination to where the customers already live—inside their chat apps.
02 | The SolutionNatural-Language Cognitive Interface
We did not build a rigid bot with "Press 1 for Loans." Instead, we deployed a Cognitive Interface via the Foundry. It allows customers to speak freely, while the Engine extracts intent, amount, and purpose in real-time.
The Technical Framework
By embedding cognitive reasoning into the conversation, we eliminated the need for users to navigate UI menus. The system essentially "interviews" the user, mirroring a human account manager.
- Dynamic Structuring: As the user chats, the Engine populates a structured credit request inside the Cognitive Engine.
- Multimedia Ingestion: Photos of IDs, tax documents, or invoices are captured via chat and processed instantly by our OCR agents.
- Human-in-the-Loop: If the AI detects ambiguity, it seamlessly flags the conversation for a human supervisor to join.
Paradigm Shift in Reach
This implementation changed how the bank views its "branch" network. By making credit as simple as a text message, the institution successfully expanded its reach into high-growth, mobile-first sectors without the overhead of physical infrastructure.
