Introduction: The Challenge in SME Lending
For small and mid-sized enterprises (SMEs), access to timely credit is the difference between scaling up and slowing down. Yet, many lending companies struggle with manual credit appraisal processes that are:
- Time-consuming
- Prone to human error
- Costly to scale
- Inconsistent in risk evaluation
One of our clients — a mid-sized financial services company offering SME loans — faced exactly this challenge. Their traditional credit appraisal process required manual review of financial documents, bank statements, and credit bureau reports, leading to delayed loan decisions, high operational costs, and uneven borrower experiences.
That’s where Omovera, an AI transformation company specializing in custom AI-powered solutions, stepped in.
The Omovera Approach: AI in Credit Appraisal
At Omovera, we believe AI should augment human decision-making while driving measurable business outcomes. For this client, we designed and deployed a custom AI-powered credit scoring system with three core capabilities:
1. 📑 Automated Data Extraction
- Used intelligent document processing to parse financial statements, salary slips, and tax records.
- Extracted and normalized key data points in real-time, reducing manual review time by 70%.
2. 🧠 AI-Powered Credit Scoring
- Built machine learning models trained on historical loan performance data.
- Integrated credit bureau inputs (CIBIL/Experian/Equifax) with alternative data such as cash-flow history and repayment behavior.
- Delivered an instant creditworthiness score with transparent explanations.
3. ⚡ Seamless Workflow Integration
- Integrated with the company’s Loan Management System (LMS) and CRM.
- Triggered automated workflows for loan approval, risk flagging, and escalations.
- Enabled real-time decision dashboards for credit managers.
The Results: Efficiency, Productivity & Cost Savings
Within the first 6 months of implementation, the lending company achieved measurable gains:
- 60% faster credit decisions (from 5 days → 2 days average turnaround).
- 40% lower operational costs due to reduced manual review.
- 30% increase in loan disbursal capacity without adding headcount.
- Improved risk accuracy, leading to lower default rates in new SME portfolios.
- Better borrower experience with faster approvals and higher transparency.
Why This Matters for Lending Companies Globally
Whether you’re a financial services firm in New York, London, Berlin, or Singapore, the challenges of SME lending are remarkably similar:
- High volume of applications
- Limited underwriting resources
- Rising compliance demands
- Need for speed without compromising risk
By implementing AI-driven credit appraisal, lending companies can scale sustainably, cut costs, and improve borrower trust — outcomes that are universal across markets.
Why Partner with Omovera?
Omovera isn’t a generic software vendor. We are an AI transformation partner with deep experience in BFSI (Banking, Financial Services & Insurance). Our strengths:
- Custom AI Development: Tailored solutions, not one-size-fits-all.
- Regulatory Compliance: GDPR, DPDP Act, RBI, and other jurisdictional frameworks.
- Integration Expertise: Plug-and-play with existing CRMs, LMSs, and core banking systems.
- Proven ROI: Demonstrated cost reductions and productivity gains across clients.
Call to Action
If you are a lending company, NBFC, or SME financial services provider looking to transform your credit appraisal process, Omovera can help.
👉 Let’s discuss how AI can accelerate your lending business.