A strategy for the AI-native era · Prepared for the office of the CEO
Payments built the distribution. The next chapter turns 17 million merchants into a living, learning growth platform — more lendable, more loyal, more profitable — with AI as the layer that decides what happens next.
01 — The shift
MobiKwik’s first chapter made Indian merchants payment-ready. Payments created distribution. Soundbox created daily presence. Lending created monetization.
The next move is bigger — and it changes the question the merchant brings to the app every morning.
The strongest asset is the merchant base — but not every merchant is lendable today. The usual approach finds eligible merchants and offers them loans. The better approach is sharper:
Don’t wait for merchants to become lendable. Help them become lendable.
02 — The product, alive
Pick a shopkeeper and move through their MobiKwik — three screens, each thinking in real time. The feed that tells them what to do next, the lending engine that helps them become eligible, and the AI Store that makes them discoverable to other people’s assistants.
You’re viewing Ramesh’s app — the same merchant flows through all three screens.
Every screen calls a live model. The score moves, the plan is written on the spot, the AI Store profile is generated fresh — no two runs are identical.
03 — The architecture
Not one feature — a full product architecture where payments, lending, credit readiness, business tools, commerce, and discovery all reinforce each other. Select a pillar to read its role.
04 — How it compounds
The strongest version isn’t a set of disconnected features. It’s one loop — where every action a merchant takes makes the next loan safer, the next offer smarter, and MobiKwik harder to leave.
Payments tell MobiKwik what happened. Business Saathi tells the merchant what to do next.
05 — Sequence
The vision is large, so it is sequenced — each phase earns the right to the next.
The recommendation
From a payments-led lending platform to an AI-led merchant growth platform. Payments remain the foundation. Lending remains the engine. AI becomes the layer that turns data into decisions.