
Client Overview & Impact
The Home Loans / LAP division of a leading bank, catering to a vast customer base seeking financing for their housing needs, annually processes thousands of applications. This involves managing an immense volume of documentation – approximately 7,500 applications per month, translating to over 1,500,000 pages of various documents. To enhance this process and reduce manual efforts, the company sought an advanced, AI-driven solution to transform their document processing and accelerate their loan approval workflows.
Business Challenges
Before the implementation of Glib.ai’s solution, the leading home loan provider faced several significant operational hurdles in their high-volume home loan processing:
Manual Document Validation & Processing Burden
- The verification of a wide array of documents—KYC forms, bank statements, income proofs, property documents (sale deeds, encumbrance certificates), and more—was manually handled by a workforce of over 450 people.
- This heavy reliance on manual labor resulted in long processing times, making consistency difficult and increasing the risk of human errors across 1.5 million pages of documentation monthly.
Average Handling Time (AHT)
- Manual extraction, validation, and cross-referencing extended the average turnaround time for home loan approvals to 26 days.
- Processing individual loan document sets could take 3–5 hours, causing internal delays and affecting customer satisfaction in a highly competitive market.
Data Input Discipline Due to the complex assessment process, the DSA and sales teams often submitted incomplete or inaccurate data:
- Incorrect documents submitted
- Missing co-applicant documents
- Insufficient or outdated data
Scalability Concerns
- With a monthly volume of 7,500 applications and the goal of expanding further, the provider struggled to scale operations efficiently.
- Manual processing bottlenecks impacted their market responsiveness and ability to grow.
Glib.ai’s Solution: A Comprehensive Digital Transformation
Glib.ai implemented an end-to-end Intelligent Document Processing (IDP) solution combining AI, RPA, and ML, tailored to the unique and complex document-heavy workflows of the home loan provider.
Solution Components
Advanced Autoclassification
- Deployed a cutting-edge classification engine to categorize home loan documents (KYC, bank statements, salary slips, ITRs, property deeds, etc.)
- Achieved 99% accuracy in autoclassification, laying the foundation for full automation.
Contextual Extraction & Cross-Validation
- Extracted key data points with high precision across diverse document types using context-aware NLP models.
- Deployed cross-validation logic to verify extracted data against internal rules and multiple sources, ensuring data integrity.
Consolidated Financial Analysis
- Extracted, standardized, and synthesized data from financial documents (bank statements, salary slips, ITRs).
- Enabled a holistic view of the applicant’s financial health and loan eligibility.
Human-in-the-Loop (HILT) Interface
- Integrated a HILT module allowing real-time oversight, validation, and training by human analysts.
- Ensured adaptability for edge cases and maintained continuous learning for better system performance.
Check Listing
- Used advanced AI—including Glib.ai’s proprietary bank statement validators—for:
- Cross-checking Proof of Identity (POI)
- Proof of Address (POA)
- Financial document validation
- Greatly improved inconsistency detection and application completeness.
Accelerated AHT
- Reduced Turnaround Time (TAT) for document verification by over 80%.
- Processing time dropped from days to under 2 hours per application, enabling faster loan disbursements.
Secure & Compliance-Focused Deployment
- Delivered a secure, cloud-based deployment aligned with:
- RBI guidelines
- Local data privacy norms
- Ensured auditability and data protection for sensitive customer information.
Results and Impact
Glib.ai’s tailored IDP and automation solutions delivered a profound transformation for the leading home loan provider.
Key Benefits
-
Substantial Reduction in Manual Effort:
Achieved a 40% reduction in manual effort dedicated to document processing.
Over 180 employees were reallocated to more strategic, customer-facing, or analytical roles—resulting in significant operational cost savings. -
Optimized Average Handling Time (AHT):
Reduced AHT from 3–5 hours to under 2 hours per application, enabling faster decision-making and quicker loan disbursements. -
Scalable Operations:
Seamlessly scaled to process 7,500 applications and 1.5 million pages per month, supporting business growth without a proportional increase in manual resources.
Metric | Pre-Glib.ai Implementation | Post-Glib.ai Implementation |
---|---|---|
Turnaround Time (TAT) for Document Verification | 2 Days (manual processing only) | Under 4 Hours |
Overall Home Loan AHT | 28 Days | 26 Days (estimated post-Glib: derived from document process being a minor bottleneck; ~70–75% AHT reduction) |
Manual Effort Reduction | 450+ staff | 40% reduction |
Overall Data Accuracy | High risk of human error | Over 92% accuracy |
Autoclassification Accuracy | N/A | 99% accuracy |
Loan Processing Efficiency | Time-intensive, error-prone | Semi-automated, real-time insights |