{"id":162211,"date":"2026-04-21T13:02:09","date_gmt":"2026-04-21T07:32:09","guid":{"rendered":"https:\/\/www.pentagon.co.in\/?p=162211"},"modified":"2026-04-21T13:12:43","modified_gmt":"2026-04-21T07:42:43","slug":"transforming-sme-credit-underwriting-with-generative-ai","status":"publish","type":"post","link":"https:\/\/www.pentagon.co.in\/index.php\/case-study\/technology-case-study\/transforming-sme-credit-underwriting-with-generative-ai\/","title":{"rendered":"Transforming SME Credit Underwriting with Generative AI"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;100&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;1&#8243; bottom_padding=&#8221;1&#8243; overlay_color=&#8221;color-105898&#8243; overlay_alpha=&#8221;100&#8243; overlay_animated=&#8221;yes&#8221; overlay_animated_1_color=&#8221;color-144745&#8243; overlay_animated_2_color=&#8221;color-434631&#8243; overlay_animated_speed=&#8221;1500&#8243; overlay_animated_size=&#8221;0.35&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; content_parallax=&#8221;1&#8243; content_parallax_safe=&#8221;yes&#8221; uncode_shortcode_id=&#8221;166940&#8243; front_end_with_slider=&#8221;true&#8221; el_class=&#8221;mobile-flex-bottom&#8221; overlay_animated_1_color_type=&#8221;uncode-palette&#8221; overlay_animated_2_color_type=&#8221;uncode-palette&#8221; overlay_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_vertical=&#8221;bottom&#8221; gutter_size=&#8221;3&#8243; expand_height=&#8221;yes&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; zoom_width=&#8221;0&#8243; zoom_height=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;368328&#8243;][uncode_slider slider_type=&#8221;fade&#8221; slider_interval=&#8221;0&#8243; slider_navspeed=&#8221;400&#8243; advanced_nav=&#8221;yes&#8221; el_id1=&#8221;slider-111384&#8243; el_id=&#8221;slider-111384&#8243;][vc_row_inner row_inner_height_percent=&#8221;0&#8243; back_image=&#8221;162218&#8243; overlay_color=&#8221;color-105898&#8243; overlay_alpha=&#8221;80&#8243; gutter_size=&#8221;4&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; limit_content=&#8221;&#8221; front_end_with_slider=&#8221;true&#8221; uncode_shortcode_id=&#8221;110037&#8243; overlay_color_type=&#8221;uncode-palette&#8221;][vc_column_inner column_width_percent=&#8221;86&#8243; position_horizontal=&#8221;left&#8221; position_vertical=&#8221;middle&#8221; gutter_size=&#8221;2&#8243; style=&#8221;dark&#8221; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; zoom_width=&#8221;0&#8243; zoom_height=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;467377&#8243;][uncode_breadcrumbs][vc_empty_space empty_h=&#8221;1&#8243;][vc_custom_heading heading_semantic=&#8221;h1&#8243; text_font=&#8221;font-660432&#8243; text_size=&#8221;custom&#8221; text_weight=&#8221;400&#8243; css_animation=&#8221;single-curtain&#8221; uncode_shortcode_id=&#8221;205961&#8243; heading_custom_size=&#8221;50px&#8221;]Transforming SME Credit Underwriting with Generative AI [\/vc_custom_heading][\/vc_column_inner][\/vc_row_inner][\/uncode_slider][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;3&#8243; bottom_padding=&#8221;5&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;214280&#8243;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;750128&#8243;][vc_custom_heading text_weight=&#8221;300&#8243; uncode_shortcode_id=&#8221;581479&#8243;]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. [\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;p&#8221; text_size=&#8221;custom&#8221; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-524109&#8243; uncode_shortcode_id=&#8221;120467&#8243; heading_custom_size=&#8221;17px&#8221;]<strong>Business Challenge<\/strong><\/p>\n<p>Underwriting 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.<\/p>\n<p>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. [\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;p&#8221; text_size=&#8221;custom&#8221; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-524109&#8243; uncode_shortcode_id=&#8221;449652&#8243; heading_custom_size=&#8221;17px&#8221;]<strong>Goals &amp; Objectives<\/strong><\/p>\n<p>The 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.[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;p&#8221; text_size=&#8221;custom&#8221; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-524109&#8243; uncode_shortcode_id=&#8221;176672&#8243; heading_custom_size=&#8221;17px&#8221;]<strong>Solution Approach <\/strong><\/p>\n<p>We developed a Generative AI-powered underwriting platform using AWS and Amazon Bedrock, transforming how credit evaluation is performed.<\/p>\n<p>The solution automated the ingestion and processing of financial data, generating:<\/p>\n<ul>\n<li>A Banking Summary highlighting transaction patterns and risk indicators<\/li>\n<li>A Bureau Summary covering credit history and repayment behavior<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>These insights were combined to create a comprehensive borrower profile. Based on this, the system dynamically generated context-aware underwriting questions, replacing static, rule-based templates with adaptive, intelligent evaluation.[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;p&#8221; text_size=&#8221;custom&#8221; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-524109&#8243; uncode_shortcode_id=&#8221;101954&#8243; heading_custom_size=&#8221;17px&#8221;]<strong>Implementation Approach <\/strong><\/p>\n<p>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.<\/p>\n<p>&nbsp;<\/p>\n<p>A continuous improvement loop allowed the system to evolve over time, incorporating feedback and additional data sources to refine outputs and enhance accuracy.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;3&#8243; bottom_padding=&#8221;5&#8243; back_color=&#8221;color-250828&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; content_parallax=&#8221;0&#8243; uncode_shortcode_id=&#8221;519728&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;750128&#8243;][vc_custom_heading text_weight=&#8221;300&#8243; uncode_shortcode_id=&#8221;984371&#8243;]Results[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;p&#8221; text_size=&#8221;custom&#8221; text_weight=&#8221;300&#8243; text_height=&#8221;fontheight-524109&#8243; uncode_shortcode_id=&#8221;131403&#8243; heading_custom_size=&#8221;17px&#8221;]The implementation significantly improved underwriting efficiency and decision quality. Manual effort was reduced, enabling faster loan approvals and improved turnaround times.<\/p>\n<p>&nbsp;<\/p>\n<p>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.<\/p>\n<p>&nbsp;<\/p>\n<p>Overall, the solution transformed underwriting into a faster, smarter, and more adaptive process, aligning with NeoGrowth\u2019s vision of technology-led lending.[\/vc_custom_heading][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;100&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;5&#8243; top_padding=&#8221;1&#8243; bottom_padding=&#8221;1&#8243; overlay_color=&#8221;color-105898&#8243; overlay_alpha=&#8221;100&#8243; overlay_animated=&#8221;yes&#8221; overlay_animated_1_color=&#8221;color-144745&#8243; overlay_animated_2_color=&#8221;color-434631&#8243; overlay_animated_speed=&#8221;1500&#8243; overlay_animated_size=&#8221;0.35&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; top_divider=&#8221;gradient&#8221; bottom_divider=&#8221;gradient&#8221; [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":162218,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-162211","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology-case-study"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Transforming SME Credit Underwriting with Generative AI - Pentagon System &amp; Services Pvt. 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