About this project
When a new business wants to accept card payments or borrow money, it fills in forms, uploads bank statements, and then waits **three to five business days** while someone at the bank reads those statements by hand. That wait is expensive for everyone. The business cannot trade. The bank pays skilled analysts to do repetitive work. And because the review is manual, two analysts looking at the same statements can reach different conclusions — with no written record of why. The evidence needed to make the decision is already sitting in the business's bank account. The delay is not analysis; it is queueing. ## 2. What InstantPulse does The business securely connects its bank account. InstantPulse then: 1. Pulls the transaction history 2. Analyses cash flow, income stability, expenses, debt patterns and unusual transactions 3. Produces a **transparent risk score** out of 100, with a written reason for every point awarded or withheld 4. Recommends a **credit limit**, and says which constraint capped it 5. Classifies the application: - 🟢 **Green** — ready to proceed - 🟡 **Yellow** — human review required - 🔴 **Red** — high risk or missing information 6. For Green applications, automatically starts **Stripe** payment-account onboarding 7. Gives managers a live dashboard explaining the decision, the risk factors and the next action Three to five days becomes **one call**. In offline mode a full decision takes about 30 milliseconds; against the live Plaid API it takes about 15 seconds. Crucially, it does **not** replace credit officers. Yellow applications go into a real review queue where an officer can request documents or override the decision — with a written justification that is recorded permanently.
BFSI & FinTech track
Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.