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ScaleCapacity

ScaleCapacity powers 4 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Documented deployments include RAG.

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Use Cases

4

Industries

2

Countries

1

Hyperscaler mix

Filter ScaleCapacity's implementations by cloud provider evidence.

How ScaleCapacity builds AI

Build / Buy / Compose across this partner's documented cases

BuildBuyComposeMixed

4 of 4 cases classified (100%) · Compare all use-case types

Reported outcomes

2 cases report measurable results

−80%

Cost savings

median · 1 metric

−66%

Time & speed

median · 1 metric

Medians of results published in ScaleCapacity cases, normalized for comparability. See all benchmarks →

All Use Cases (4)

Contra Costa County District Attorney: Race-Blind Charging automation with Amazon Bedrock and Textract on AWS

Contra Costa County District Attorney's Office needed to comply with California Penal Code Section 741 (AB 2778) by redacting race, ethnicity, and other identifying information from police reports and case documents before charging decisions.The office worked with ScaleCapacity, an AWS Partner, to build an AI-driven workflow on AWS that extracts and redacts sensitive information from case materials and fits into the existing clerk upload and attorney review process.The solution supports rapid redaction-rule updates and lets attorneys toggle between redacted and unredacted document views to support usability and review.

Public SectorUnited States

Alabama Department of Revenue and Wisconsin Department of Revenue modernize contact centers with Amazon Connect and Amazon Q in Connect

State tax agencies modernized legacy contact centers to handle seasonal surges, reduce manual work, and improve resilience for sensitive taxpayer inquiries.ALDOR deployed an AI-enabled IVR in eight days; Wisconsin DOR launched a modernized Amazon Connect contact center in under four months and added Contact Lens and Amazon Q in Connect for analytics and source-cited answers.

Public SectorUnited States

Nebraska Judicial Branch Modernizes Electronic Exhibits System with AWS

The Nebraska Judicial Branch faced challenges managing, storing, and securing physical and digital case exhibits with manual processes that lacked scalability and secure chain of custody.They implemented a secure, scalable, serverless microservices-based electronic exhibits system on AWS integrating Amazon Bedrock for generative AI semantic search.This solution centralized exhibit management and introduced semantic search capability, reducing response time for case-related queries from hours or days to seconds, improving security, accessibility, and retention.

Public SectorUnited States