-Challenge
High-volume loan applications required deep manual analysis of business bank statements. The existing third-party tool was expensive, inflexible, and created a dependency around critical financial decisions.
Fintech • AI Automation • Risk Analysis
Finance
Extract
An internal bank statement analysis platform that replaces expensive third-party dependency with owned financial analysis, client-defined risk logic, and faster loan eligibility decisions.
4 Weeks
POC Delivery
12 Weeks
Production Version
Key Achievement
In Build
A custom lending intelligence platform with full control over risk logic.
100% ControlDecision Logic
Significant SavingsVendor Cost
Client-defined CriteriaRisk Model
Executive Summary
The full picture, at a glance
-Solution
FinanceExtract gives the client an owned analysis platform with automatic statement ingestion, financial health insights, tailored risk evaluation, and loan eligibility logic shaped around their business model.
-Outcomes
4 WeeksPOC Delivery
12 WeeksFull Product
100%Logic Control
The Problem
Four barriers limiting loan analysis at scale
Expensive Third-Party Dependency
The client relied on a costly external provider for bank statement analysis, creating recurring operational costs and dependence on a vendor for critical financial decisions.
Manual Upload Bottlenecks
Manual or tool-assisted uploads were still required to process statements, slowing down loan evaluation and creating friction for high-volume workflows.
Limited Risk Logic Control
The third-party tool did not let the client customize financial analysis or risk logic to match their own high-risk lending strategy.
Rigid Evaluation Criteria
The team could not add or modify evaluation criteria, making it harder to optimize creditworthiness decisions around their business model and risk tolerance.
Process
The 5-Step Statement Analysis Workflow
From inbox intake to risk-informed loan decisions, the platform turns submitted business bank statements into structured financial intelligence.
01
Statement Intake
Business bank statements enter the platform for analysis, reducing manual handling and preparing files for structured processing.
02
Transaction Extraction
The system extracts transaction-level data and organizes statement details into usable tables for financial review.
03
Financial Health Analysis
Daily averages, income patterns, cash flow signals, and account behavior are analyzed to produce a clearer borrower profile.
04
Client-Defined Risk Evaluation
Custom rules and decision logic evaluate risk in a way that reflects the client’s lending strategy and tolerance.
05
Loan Eligibility Support
The platform helps teams make faster, more consistent eligibility decisions while retaining ownership of the evaluation model.
Solution Walkthrough
Six core product components
Bank Statement Ingestion
Awaiting Upload
Component 01
Input · Bank Statements
statement_jan.pdf
statement_feb.pdf
statement_mar.pdf
Output · Structured Data
DateDescriptionAmount
Component 01 · Bank Statement Ingestion
Bank Statement Ingestion
The system ingests business bank statements and prepares them for structured analysis, reducing manual effort and streamlining the workflow.
SolvesManual or tool-assisted uploads required
Financial Analysis
Idle
Component 02
Engine · FinanceExtract
LOADING tx_records ........
CALC daily_avg_inflow .....
MAPPING cashflow_30d ......
SCORE income_regularity ...
EVAL debt_coverage ........
BUILD financial_health .....
Cash Flow · 24 Weeks
Inflow Trend
Daily Avg
₹14,280
inflow / day
Cash Flow
+₹2.4L
net 90 days
Fin. Health
82 / 100
composite score
Health Indicators
--
Health
Behaviour Signals
Income Regularity
88%
Expense Volatility
34%
Liquidity Buffer
72%
Debt Coverage
91%
Insight · Auto-generated
Strong income regularity with low volatility. Borrower demonstrates stable repayment capacity.
Component 02 · Detailed Financial Analysis
Detailed Financial Analysis
FinanceExtract evaluates daily averages, cash flow patterns, income behavior, and overall financial health indicators to provide deeper borrower insight.
SolvesLimited financial analysis capabilities
Risk Evaluation
Idle
Component 03
Client-Defined Rule Engine
M/s Arjun Traders
Small Business · Lending Assessment
Evaluation Rules · 6 criteria
R01
Monthly Cash Inflow
≥ ₹50,000
R02
Income Regularity
≥ 70%
R03
Debt-to-Income Ratio
≤ 0.45
R04
Overdraft Frequency
≤ 3 / mo
R05
Business Vintage
≥ 18 mo
R06
Expense Volatility
≤ 25%
Weight Distribution
Monthly Cash
22%
Income Regularity
18%
Debt-to-Income Ratio
20%
Overdraft Frequency
15%
Business Vintage
14%
Expense Volatility
11%
Composite Risk Score
--
MEDIUM RISK
Awaiting evaluation…
Component 03 · Risk Evaluation
Risk Evaluation
The platform evaluates risk using client-defined logic, letting the team tailor assessment criteria around their high-risk small-business lending strategy.
SolvesNo control over financial analysis and risk logic
Transaction Tables
Idle
Component 04
Awaiting statement data…
Total In
₹5.18L
Total Out
₹3.50L
Net Flow
+₹1.68L
Flagged
2 txns
All
Credits
Debits
Flagged
| ID | Date | Description | Category | Amount |
|---|---|---|---|---|
| TXN001 | 02 Jan | CLIENT PAYMENT — Mehta Exports | Revenue | +₹2.4L |
| TXN002 | 05 Jan | RENT — Commercial Premises | Fixed Cost | -₹42,000 |
| TXN003 | 07 Jan | CASH WITHDRAWAL — Branch | Withdrawal | -₹85,000 |
| TXN004 | 11 Jan | NEFT — Sharma & Co Invoice | Revenue | +₹95,000 |
| TXN005 | 14 Jan | UTILITY — MSEDCL Power Bill | Utility | -₹8,200 |
| TXN006 | 18 Jan | SALARY BATCH — 8 employees | Payroll | -₹1.2L |
| TXN007 | 21 Jan | RTGS — Gupta Wholesalers | Revenue | +₹1.8L |
| TXN008 | 25 Jan | ROUND-TRIP — Same day reversal | Suspicious | -₹60,000 |
| TXN009 | 28 Jan | VENDOR — Raw Materials Supply | Inventory | -₹34,000 |
| TXN010 | 31 Jan | INTEREST CREDIT — Savings | Interest | +₹3,200 |
Component 04 · Structured Transaction Tables
Structured Transaction Tables
Extracted statement data is converted into reviewable tables so teams can inspect transaction patterns without rebuilding analysis manually.
SolvesManual statement review overhead
Loan Eligibility
Idle
Component 05
Client Decision Logic · Live
🏭
Ravi Textile Works
MSME · Textile · Loan Application
6 Evaluation Criteria
C01
Min Monthly Turnover
≥ ₹75,000
C02
Credit Score Band
≥ 680 pts
C03
Business Vintage
≥ 24 months
C04
Debt Service Ratio
≤ 0.40
C05
Overdraft Instances
≤ 2 / month
C06
Collateral Coverage
≥ 1.2×
Composite Score
Criterion Weights
Decision Path
Min Monthly Turnover → PASS
Credit Score Band → PASS
Business Vintage → PASS
Debt Service Ratio → FAIL
Overdraft Instances → PASS
Collateral Coverage → FAIL
CONDITIONALLY ELIGIBLE
4/6 criteria passed · Override available
⚙ Client logic overridable · 2 criteria adjustable via rule editor
Component 05 · Loan Eligibility Determination
Loan Eligibility Determination
Eligibility support is powered by the client’s own decision logic, giving the business full ownership over creditworthiness evaluation.
SolvesInability to add or modify evaluation criteria
Component 06 · Iterative Product Improvement
Iterative Product Improvement
The product is built through continuous client feedback, with decision logic and features evolving as the team validates real lending workflows.
SolvesLimited flexibility in third-party tools
Impact
Measurable Impact
FinanceExtract transformed external dependency into an owned platform for faster analysis, lower vendor cost, and customized lending decisions.
Why It Matters
Why FinanceExtract Matters
AI Beyond Support Workflows
The project shows how AI can create value across complex financial operations, not only customer support or content workflows.
Solving the Right Problem
The goal was not to simply add AI. The team first identified the financial indicators and decision logic that mattered to the client.
Domain Knowledge Translation
Sifars translated the client’s lending expertise into a working product even without deep prior familiarity with this specific financial niche.
Ownership as Advantage
Replacing a rigid external tool with an owned platform gives the client stronger control, lower cost, and room for continuous improvement.
Technology
Built on best-in-class infrastructure
ReactJS
Frontend Experience
AI Models
Analysis Assistance
Document Processing
Statement Parsing
Analytics Engine
Financial Health Metrics
Risk Rules
Client-defined Logic
Cloud Infrastructure
Scalable Processing
The client has been highly impressed with progress and execution. They have instructed us to expand the team to accelerate development and expressed strong confidence in our capabilities, including plans to visit us personally.
