Normalized claim
Background check validation time: 2.5-5% decrease
We've reduced the time for background check validation reports by 50 percent—from 5 to 2.5 days—using our generative AI application built on Amazon Bedrock.
Genpact Drives Operational Efficiencies and Generative AI Adoption Using Amazon Bedrock and Amazon Titan
Use case typeDocument processing automationUpdated Jul 15, 2026
Genpact developed a generative AI application on Amazon Bedrock for employee background check report validation and created an employee-facing AI platform called Playground for summarization, translation, image creation, and other tasks. The company used the solution to reduce manual verification work, improve compliance with client requirements, and expand employee access to AI tools across the organization.
- Organization
- Genpact
- Industry
- Professional Services
- Location
- United States
- Published
- July 2026
Reported outcomes
2,000,000 interactions
playground interactionsOther quantified impact
2.5-5%background check validation time−90%manual verifications+80%validation accuracy+75%operational productivity
Strategic outcomes
Risk & compliance100% contractual complianceEmployee experienceDemocratized AI across the workforceNew business modelConverting internal AI success into client offerings
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Manual verifications: 90% decrease
reduced manual verification processes by up to 90 percent while ensuring 100 percent contractual compliance.
Normalized claim
Validation accuracy: 80% increase
the machine accuracy for validation against client requirements has reached 80 percent
Normalized claim
Operational productivity: 75% increase
operational efficiency has increased by 75 percent, significantly boosting overall team productivity
Normalized claim
Playground interactions: 2,000,000 interactions increase
Within nine months of its launch, Playground facilitated over 2 million interactions
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Genpact
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Solutions Case Study
5 days Reduced manual verifications by up to 90% Achieved 80% accuracy for validation against client requirements Improved operational productivity by 75% Supported more than 2 million Playground interactions in nine months
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Document processing automation
- 2Employee productivity
- 3Compliance automation
- Improve internal process efficiency
- Validate employee background check reports for internal audits
- Meet client requirements and reduce manual verification across multiple files
- Drive enterprise-wide AI adoption
- Built a generative AI background check validation application on Amazon Bedrock
- Used Amazon Titan foundation models and Amazon SageMaker JumpStart as part of the AWS AI stack
- Created Playground, an employee-facing AI platform for summarization, translation, image creation, and more
- Worked with AWS experts and support to accelerate development and deployment
- Reduced background check validation time from 5 to 2.5 days
- Reduced manual verifications by up to 90%
- Achieved 80% accuracy for validation against client requirements
- Improved operational productivity by 75%
- Supported more than 2 million Playground interactions in nine months
Architecture
Generative AI applications built on Amazon Bedrock; employee platform Playground using Amazon Bedrock, Anthropic Claude 2, Stable Diffusion, and Amazon Titan models; supported by Amazon SageMaker JumpStart, AWS Professional Services, and AWS Enterprise Support.
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: Jul 15, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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