Fintech Loan Processing Blueprint & Mobile Workflow
A digitized microloan verification and instant credit-scoring pattern designed for high-concurrency mobile lending.
Design targets, not measured client results.
The Problem
Why teams need this pattern
Manual microloan workflows rely on paper-based KYC, human document checks, and asynchronous credit scoring. The result is multi-day approvals, high mobile drop-off, and staffing costs that spike with lending volume.
Ideal for
- Lenders moving from paper or spreadsheet workflows
- Fintech startups building a first lending product
Our Approach
Architectural approach
An automated mobile lending flow: OCR document ingestion, real-time identity verification APIs, and an event-driven credit scoring engine. Submissions are processed asynchronously, with fallback queues for manual exception handling.
System Design
Architectural layers & components
How data and control flow from the edge of the system to the people who use it.
- 01
Mobile Client & UI
React Native cross-platform app with offline-first form state and biometrics.
- 02
API & Ingestion Gateway
FastAPI / Node.js backend with TLS and rate-limited endpoints.
- 03
Verification & Scoring Engine
Event-driven services for OCR document parsing and ML risk scoring.
- 04
Core Ledger
ACID-compliant PostgreSQL with audit logging and encrypted data vaults.
Design Targets
What this architecture is built to achieve
Targets we design toward. We confirm them against your own data and workload before you commit to a build.
- Credit-scoring models need calibration on your own historical data.
- KYC and bureau providers are chosen per market and regulator.
What You Get
Artifacts tailored to your environment
The blueprint is a starting point. These are the working documents and code we adapt for you.
Learn about our Application Engineering services- OpenAPI schema
- Event payload definitions
- Mobile SDK setup
- AWS CloudFormation templates
How We Work
From first call to working prototype
- 130–45 min
Discovery call
We review your constraints, existing systems, and success criteria, and tell you honestly whether this blueprint fits.
- 21–2 weeks
Fit & feasibility workshop
We adapt the reference architecture to your stack, validate the design targets against your real data, and produce a scoped plan.
- 3Scoped per project
Prototype, then build
We ship a working slice first so you can judge the approach before committing to a full build.
Technology Stack
Default tools & infrastructure
We swap components to fit your stack.
- React Native
- FastAPI
- Python ML
- AWS Lambda
- PostgreSQL
- Redis
- Docker
FAQ
Common questions
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Want an architecture like this?
Book a call and we'll tell you honestly whether this blueprint fits, and how we'd adapt it to your stack and constraints.