Iconicompany — Autonomous AI Integrator: Engineering Teams in 48 Hours

💰 Project: Investment Platform for Car Procurement Financing

📌 Context (how it all started)

Initially, we already had a platform for car buyouts:

working with dealers and private sellers
quick car buyouts
working capital - key growth constraint

The problem became apparent quite quickly:

the business is limited not by demand, but by access to liquidity

Traditional financing sources:

bank loans - slow and inflexible
credit lines - limited and require collateral
own capital - scales slowly

🎯 Goal

We needed to:

ensure scalable procurement financing
reduce the cost of capital
accelerate decision-making
automate risk management

💡 Solution: Investment Platform

We developed a platform that allows:

attracting funds from individuals (investors) directly to finance loans to borrowers (in our case - for car procurements)

This is essentially P2P / marketplace lending, but:

with deep scoring
with full automation of the credit cycle
with integration into a real business (car buyout)

🧩 Key Roles in the System

👤 Borrowers

companies / car buyout operators
submit financing applications
receive funds for specific deals or asset pools

💼 Investors (individuals)

place funds
choose strategies (risk / return)
earn income higher than bank deposits

🏦 Platform

acts as an infrastructure provider and risk operator
manages the process from application to repayment

⚙️ Key Platform Modules

1. 📥 Application Reception and Processing

borrower submits application
data normalization
initial validation
duplicate check

2. 🔍 Scoring and Checks

A key block that makes the platform competitive.

Integrations:

credit bureaus
anti-fraud systems
legal entity verification
beneficiary verification

Functions:

credit rating calculation
determination of financing limit
risk classification of the deal

3. 🤖 AI Document Processing

document upload (contracts, vehicle registration certificates, invoices)
OCR + data extraction
document correctness verification
identification of discrepancies

4. 🧠 Decision-Making Module

automatic approval / rejection
credit policy configuration
explainable scoring (transparency of decisions)

5. 💸 Investment Marketplace

publication of applications/pools for investors
automatic investment allocation
strategy configuration:
conservative
balanced
aggressive

6. 🔄 Loan Management

fund disbursement
payment schedule accounting
interest accrual
overdue monitoring

7. 💳 Repayment and Settlements

payment reception
income distribution to investors
automatic loan closing

🏗 Solution Architecture

🧱 Microservices Structure

The platform was broken down into domains:

Loan Origination Service
Scoring & Risk Service
Investor Service
Marketplace Service
Payment Service
Document AI Service

Each service is:

independent
scalable
has its own data model

☸️ Kubernetes

containerization of all services
horizontal scaling
high availability

🧠 Process Orchestration (Temporal)

As in the credit conveyor, we used Temporal:

Each loan = workflow:

application reception
scoring
publication to investors
funding collection
disbursement
repayment

Advantages:

fault tolerance
retry logic
state preservation
full traceability

🔗 Integrations

credit bureaus
payment providers
KYC/AML systems
internal car platform systems

🔄 End-to-End Process

Borrower submits an application
System conducts scoring and checks
Application is published on the platform
Investors finance the loan
Funds are transferred to the borrower
Borrower repays the money with interest
Platform distributes income to investors

📈 Why it's more profitable than deposits

For investors:

higher returns
investment transparency
risk diversification

For borrowers:

faster than a bank
flexible terms
less bureaucracy

🚀 Key System Advantages

full automated lending cycle
reduced operational costs
rapid financing scaling
transparent risk management
integration with real business (car buyout)