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Channel Strategy | Mobile-First Inclusion

WhatsApp Credit Origination.

Transforming complex financial services into natural language conversations. We enabled an automated credit channel for 2 billion active users.

Zero

Friction Onboarding

Global

Regional Reach

100%

Auto-Structured Data
01 | The Challenge

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 Solution

Natural-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.

Hi, I'm looking to get about 50k to buy a new truck for my delivery business.
> COGNITIVE ENGINE: Intent=Loan | Amount=50,000 | Asset=Vehicle
I can help with that business loan. Is this for your existing company, "Green Transport"?
Yes, exactly.
> ACTION: Retrieving Entity 'Green Transport' from Core Banking API...
Perfect. Please take a clear photo of your latest business invoice or pay stub and send it right here.

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.

03 | The Impact

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.