NeoGrowth Credit Pvt. Ltd. is a technology-driven NBFC focused on MSME lending. Known for leveraging digital transaction data to assess creditworthiness, the organization continuously innovates to deliver faster and more accessible financing solutions.
Business ChallengeUnderwriting remained a complex and time-intensive process. Large volumes of banking transaction data and bureau reports required significant manual effort to analyze, leading to inefficiencies and delayed loan approvals.Traditional rule-based systems failed to adapt to individual borrower profiles, resulting in generic risk assessments and potential gaps in decision-making. Additionally, increasing regulatory requirements and peak application volumes created challenges in scalability, security, and operational consistency.
Goals & ObjectivesThe client aimed to modernize underwriting by introducing an intelligent, scalable system that could automate analysis, generate contextual insights, and enable faster, more accurate credit decisions while ensuring compliance and data security.
Solution Approach We developed a Generative AI-powered underwriting platform using AWS and Amazon Bedrock, transforming how credit evaluation is performed.The solution automated the ingestion and processing of financial data, generating:
Implementation Approach The platform was built using a cloud-native architecture that integrates data processing, AI models, and orchestration workflows. Automated pipelines handled data transformation and analysis, while secure access controls and governance mechanisms ensured compliance with regulatory standards. A continuous improvement loop allowed the system to evolve over time, incorporating feedback and additional data sources to refine outputs and enhance accuracy.
Results
The implementation significantly improved underwriting efficiency and decision quality. Manual effort was reduced, enabling faster loan approvals and improved turnaround times. Underwriters gained deeper, context-rich insights, leading to better risk assessment and reduced dependency on generic evaluation models. The system also enhanced scalability, allowing the organization to handle higher application volumes without operational bottlenecks. Overall, the solution transformed underwriting into a faster, smarter, and more adaptive process, aligning with NeoGrowth’s vision of technology-led lending.
