Normalized claim
Time: 96% decrease
The AI solution achieved 96% accuracy, reduced document processing time by 98% from 30 minutes to 30 seconds, and cut costs by up to 98%.
Cognizant and Microsoft AI Automate Document Processing for Global Bank
Use case typeDocument automationUpdated Jun 13, 2026
A leading multinational banking organization partnered with Cognizant to implement an AI-driven key information extraction solution to automate document processing. The solution drastically reduces the time needed to extract information from printed, scanned, and handwritten documents, improving operational efficiency and customer experience.
- Organization
- leading multinational banking organization
- Industry
- Finance
- Location
- United States
- Published
- May 2026
Reported outcomes
30 minutes
timeTime & speed
−96%time−98%time30 secondstime
Strategic outcomes
Customer experience & trustImproved customer experience through faster processingEmployee experienceOptimized subject matter expert workloadNew product / capabilityAutomated extraction from diverse document typesCost efficiencyReduced operational processing costs
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 98% decrease
The AI solution achieved 96% accuracy, reduced document processing time by 98% from 30 minutes to 30 seconds, and cut costs by up to 98%.
Normalized claim
Time: 30 minutes decrease
The AI solution achieved 96% accuracy, reduced document processing time by 98% from 30 minutes to 30 seconds, and cut costs by up to 98%.
Normalized claim
Time: 30 seconds decrease
The AI solution achieved 96% accuracy, reduced document processing time by 98% from 30 minutes to 30 seconds, and cut costs by up to 98%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- leading multinational banking organization
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Cognizant Customer Stories
The solution drastically reduces the time needed to extract information from printed, scanned, and handwritten documents, improving operational efficiency and customer experience
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Key Information Extraction
- 2Generative AI
- 3Machine Learning
- Manual key information extraction from diverse document formats was slow, costly, and error-prone, impacting customer service and increasing operational costs.
- The process took on average 30 minutes per document, burdening subject matter experts and resulting in long customer wait times.
- Cognizant developed a generative AI-based solution leveraging Microsoft Azure AI Digital Intelligence for OCR, machine learning for document classification, and Microsoft Azure OpenAI GPT-4o for generative AI analysis.
- The system automates the extraction of key information from documents, retaining human oversight for accuracy, and integrates with existing back-office systems hosted on Microsoft Azure.
- The solution supports over 20 document types and employs OCR to digitize text, ML to filter relevant documents, and GPT-4o to extract key fields and images like signatures and seals.
Technologies
- The AI solution achieved 96% accuracy, reduced document processing time by 98% from 30 minutes to 30 seconds, and cut costs by up to 98%.
- Subject matter experts' workload was optimized, enabling them to focus on their core responsibilities.
- Customer experience was significantly improved with faster document processing.
Architecture
The solution combines Microsoft Azure AI Digital Intelligence OCR technology, machine learning algorithms for document classification, and Microsoft Azure OpenAI GPT-4o generative AI to extract and digitize key information from printed, scanned, and handwritten documents. It integrates with back-office systems hosted on Microsoft Azure and includes human-in-the-loop validation to ensure accuracy.
Implementation partners1
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 8, 2026Publisher: Cognizant Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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