Normalized claim
Time: 92% decrease
Reduced average time to gain regulatory insights by 92% (26 minutes to 2 minutes per update).
Amazon FinTech uses Amazon Bedrock & SageMaker to accelerate regulatory insights and contract review
Use case typeContract analysisUpdated Jun 13, 2026
Amazon Finance Technology (Amazon FinTech) built generative AI solutions for finance and compliance workflows. World Wide Watch tracks VAT regulatory updates, summarizes policy changes, and highlights impacts and risks. CRISP reviews contracts by storing documents in Amazon S3, indexing with Amazon OpenSearch Service, and analyzing chunks with Claude 3 Sonnet on Amazon Bedrock.
- Organization
- Amazon Finance Technology
- Industry
- Finance
- Location
- United States
- Published
- May 2026
Reported outcomes
−80%
timeTime & speed
−92%time26 minutestime2 minutestime80%quantified impact91.4%quantified impact
Strategic outcomes
Speed & agilityAccelerated regulatory insights deliverySpeed & agilityAutomated contract interpretation
Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 26 minutes decrease
Reduced average time to gain regulatory insights by 92% (26 minutes to 2 minutes per update).
Normalized claim
Time: 2 minutes decrease
Reduced average time to gain regulatory insights by 92% (26 minutes to 2 minutes per update).
Normalized claim
Time: 80% decrease
Time per contract decreased by 80%.
Normalized claim
Quantified impact: 80%
Tax experts approved 80% of generated outputs and human acceptance score reached 91.37%.
Normalized claim
Quantified impact: 91.4%
Tax experts approved 80% of generated outputs and human acceptance score reached 91.37%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Amazon Finance Technology
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Solutions Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1Regulatory Intelligence
- 2Contract Analysis
- 3Document Automation
Finance and Global Business Services teams faced complex, time-consuming regulatory analysis and contract review at high document volumes across geographies and business models.
- Built World Wide Watch using Amazon Bedrock for summarization and regulatory change extraction, Amazon SageMaker for embedding model deployment, and Amazon OpenSearch Service for near-real-time search and monitoring.
- Implemented CRISP with Amazon S3, Amazon OpenSearch Service, Claude 3 Sonnet on Amazon Bedrock, and Amazon ECS to automate contract interpretation.
- Reduced average time to gain regulatory insights by 92% (26 minutes to 2 minutes per update).
- Time per contract decreased by 80%.
- Tax experts approved 80% of generated outputs and human acceptance score reached 91.37%.
Architecture
World Wide Watch uses Amazon Bedrock LLMs to summarize regulatory articles and extract key information, Amazon SageMaker to deploy embedding models, and Amazon OpenSearch Service for near-real-time keyword and semantic search. CRISP stores contracts in Amazon S3, indexes them in Amazon OpenSearch Service with hierarchical chunking, analyzes chunks using Claude 3 Sonnet on Amazon Bedrock, and runs the workflow on Amazon ECS.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 13, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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