Explore expert perspectives on industry transformation, emerging technologies, and business innovation. Stay ahead with insights from WNS thought leaders.
Dec 03, 2021
Speaker/s
Jim Ericson
Consultant, Editor Emeritus (Moderator)
Robert Zeller
Head of Banking Group Portfolio Management, KeyBank
Sean V Timms
Group Vice President, Loan Analysis, M&T Bank
Utpal Sengupta
Head of Commercial Lending Practice, WNS Global Services
The ever-changing and competitive banking environment has led to enterprises adopting new technology to deliver efficiency, curb costs and improve margins. However, to extract the best out of implemented systems or technologies, banks and FIs need to properly align people structures with new processes and operating models across the commercial lending value chain. The key question is – how do enterprises revamp and harmonize their commercial lending organizational structure to positively impact credit decision speed, cost containment, employee satisfaction, productivity and competitiveness? Watch the webcast to know more.
Sean V. Timms, Group Vice President, Loan Analysis, M&T Bank
Robert Zeller, Head of Banking Group Portfolio Management, KeyBank
Utpal Sengupta, Head of Commercial Lending Practice, WNS Global Services
Jim Ericson, Consultant, Editor Emeritus (Moderator)
Commercial lending operations often suffer from fragmented workflows, duplicated activities and unclear ownership across underwriting, onboarding and portfolio management functions. A harmonized organizational structure enables banks to streamline credit decision-making, improve accountability and reduce operational complexity across the lending lifecycle. WNS helps financial institutions modernize commercial lending ecosystems through integrated operating models, intelligent automation and scalable commercial credit frameworks.
AI and intelligent automation help banks accelerate underwriting, automate document processing and improve risk assessment across commercial lending workflows. Intelligent credit ecosystems enable faster turnaround times, better credit quality and improved operational visibility through predictive analytics and workflow orchestration. WNS combines deep commercial banking expertise with advanced AI and automation capabilities to help lenders create scalable and future-ready lending operations.
Commercial lending transformation helps financial institutions address challenges such as fragmented credit workflows, inconsistent underwriting standards, manual onboarding processes and rising operational costs. Integrated operating models and centralized credit functions improve collaboration, governance and scalability across the commercial lending lifecycle. WNS enables banks to transition from siloed lending structures to connected, insight-driven and customer-centric commercial lending ecosystems.
Banks are increasingly adopting centralized commercial credit models to improve underwriting consistency, strengthen risk governance and accelerate lending decision speed across growing portfolios. Centralized Centers of Excellence (CoEs) and standardized workflows improve productivity, employee satisfaction and regulatory readiness while reducing duplication of effort. WNS helps financial institutions optimize commercial credit operations through AI-powered workflow standardization, process harmonization and intelligent risk management solutions.
WNS combines deep commercial banking and credit operations expertise with advanced AI, analytics and intelligent automation capabilities to help banks modernize lending operations at scale. From underwriting support and onboarding transformation to workflow optimization and commercial credit risk management, WNS enables financial institutions to improve operational efficiency, strengthen governance and build resilient, future-ready commercial lending ecosystems.
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