Overview
A leading North American bank sought to improve the efficiency of its data validation process, which relied heavily on manual document review, data extraction, and validation activities. This process is critical because it ensures compliance with banking policies and regulatory requirements, maintains data accuracy, and supports credit decision-making by validating key information that directly impacts underwriting outcomes and risk metrics such as Probability of Default (PD) and Loss Given Default (LGD). It also helps ensure consistency across multiple credit systems and identifies potential inaccuracies before lending decisions are finalized.
The bank turned to Evalueserve to provide lending services through a longstanding partnership spanning multiple business lines, including investment banking advisory, commercial banking services, corporate banking solutions, model risk management, and more. Since 2011, Evalueserve has supported the organization with domain expertise and technology-enabled solutions, helping drive transformation initiatives across banking and lending operations.
Building on this trusted relationship, Evalueserve partnered with the bank to reimagine their data validation workflows. The initiative introduced AI-powered data extraction capabilities and established the foundation for a broader intelligent automation strategy designed to improve efficiency, strengthen consistency, and support future growth.
Challenge
At the time, Evalueserve had been supporting the banks’ data quality and data validation processes through a dedicated team of four lending professionals. The team was responsible for validating a wide range of borrower and credit-related information including:
· Borrower and business information
· Financial statements and supporting financial data
· Risk ratings and related adjustments
· Collateral valuations and supporting documentation
· Personal net worth statements
· Guarantor information
· Other key lending and credit data required for underwriting and portfolio management
The process required analysts to manually review multiple documents and systems, extract critical information, validate data consistency, and identify discrepancies before and after credit decisions were made. While highly effective in maintaining data quality and regulatory compliance, the work was repetitive, time-intensive, and difficult to scale.
Recognizing an opportunity to improve efficiency while maintaining governance and quality standards, the Business Banking team asked Evalueserve to explore automation opportunities. The bank specifically wanted to:
- Reduce manual effort associated with data extraction and validation
- Improve turnaround times and process efficiency
- Increase consistency across validation activities
- Enhance scalability without increasing resource requirements
Establish a foundation for broader workflow automation.
Our Solution
Evalueserve worked closely with the bank to analyze and map the entire data validation workflow, identifying opportunities to eliminate manual effort while preserving the controls necessary for a regulated banking environment.
After conducting workflow reviews and process walkthrough sessions with stakeholders, Evalueserve developed a phased automation strategy focused on both immediate efficiency gains and long-term transformation.
Phase 1: AI-Powered Data Extraction
The initial phase focused on automating the most time-consuming component of the process: document review and data extraction.
Evalueserve's domain experts analyzed the workflow and developed a series of Microsoft Copilot-based prompts designed to extract key information from multiple document types and present it in a structured, standardized format. The solution accelerated the collection of relevant borrower, financial, and credit data while reducing the manual effort required to identify and capture information from supporting documentation.
After demonstrating the solution's capabilities, the bank provided highly positive feedback, validating the potential for broader automation across the workflow.
Phase 2: Intelligent Workflow Automation
Building on the success of the initial proof of concept, Evalueserve and the bank began collaborating on a broader agentic AI initiative designed to automate larger portions of the data quality and data validation process.
To support the effort, Evalueserve onboarded a dedicated automation specialist within the bank's environment to develop and deploy solutions using Microsoft Copilot, Power Apps, Power Automate, and Power BI.
The initiative is focused on creating an intelligent workflow that automates data extraction, validation, exception handling, and process coordination while maintaining appropriate oversight, auditability, and risk controls. This next phase will further streamline operations, improve turnaround times, and deliver greater consistency across validation activities.
Business Impact
Evalueserve helped the bank transform a critical but highly manual data validation process into a more efficient, scalable, and technology-enabled workflow while preserving the quality, governance, and regulatory controls required for lending operations.
By introducing AI-powered document extraction and establishing a roadmap for intelligent workflow automation, the initiative reduced manual effort associated with reviewing large volumes of credit documentation and accelerated the validation process. The phased approach enabled the bank to realize early value quickly while building momentum for broader operational transformation.
- Automated extraction of information from multiple document types
- Improved consistency and accuracy across validation activities
- Created capacity for teams to focus on higher-value activities while supporting future business growth
Following the success of the initial implementation, Evalueserve and the bank continue to advance the automation roadmap through the development of a comprehensive AI-powered workflow. The engagement demonstrates how financial institutions can combine lending domain expertise, generative AI, and intelligent automation to modernize critical credit operations, improve efficiency, strengthen data quality, and support sustainable growth without compromising governance or risk management.
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Overview & Impact
A leading North American bank's lending team relied on manual document review and data validation to verify borrower, financial, collateral, and risk information critical to credit decision-making and regulatory compliance. Evalueserve transformed this process with AI-powered data extraction and intelligent workflow automation, reducing manual effort, improving consistency, and creating a scalable foundation for future lending operations modernization.