Department of Defense
3 documented AI deployments at Department of Defense, across 1 industry. Each one links to the public source it was taken from.
Public AI record
Department of Defense has 3 documented public AI cases on the hub, too few for a score.
A record score appears once Department of Defense has 5 documented public cases. The peer comparison below already uses what is on record.
First documented case Aug 2024, latest May 2026. Cloud providers named: AWS, Microsoft.
Deployments
3 deployments at Department of Defense, newest first.
- 4 May 2026Public SectorUnited States
Accelerating federal document processing using Document AI from DMI powered by Amazon Bedrock
DMI · Intelligent document processing · AWS
Federal agencies face large backlogs of unstructured, highly sensitive documents including regulatory records, eligibility evidence, and case files that need to be processed faster and more accurately. DMI developed Document AI, a modular solution using Amazon Bedrock for generative AI and large language models to classify and extract data from complex documents, supporting multimodal analysis and high extraction accuracy. The solution integrates AWS services like Amazon Bedrock Knowledge Bases, Amazon Augmented AI (A2I), AWS CloudFormation, and Amazon S3 to provide secure, compliant, and automated document workflows with human-in-the-loop review. Document AI automates ingestion, classification, extraction, and generation workflows, improving processing speed and accuracy while enabling agencies to maintain full data control within their own AWS accounts.
Production
- 21 Nov 2024Public SectorUnited States
Defense Logistics Agency Transforms Financial Audit with AI-driven Automation
Defense Logistics Agency · Compliance automation · Microsoft
The Defense Logistics Agency’s (DLA) Finance division is leveraging artificial intelligence and Microsoft Azure OpenAI to streamline compliance for mandated federal audits. Traditionally, DLA Finance faced significant challenges managing complex financial and inventory reconciliation processes, often requiring extensive manual review. To address this, the organization has begun loading policies, business data, and financial documents into a searchable large language model. With AI-driven analytics, the team can rapidly surface errors, gain actionable insights, and propose error corrections, which can then be executed via Robotic Process Automation (RPA). Internal governance and inter-agency collaboration are fundamental to the responsible adoption of these advanced technologies. DLA also collaborates with other Department of Defense (DOD) and federal agencies to share best practices and avoid common pitfalls in AI adoption. As part of a wider DOD effort, the aim is to achieve a clean audit by 2028, improving operational efficiency and allowing staff to focus on more analytical, value-driven work. The initiative also includes secure AI deployment measures to mitigate sensitive-data risks while studying industry examples for further enhancements.
Production
- 8 Aug 2024Public SectorUnited States
Department of Defense secures and operationalizes classified AI workloads
Department of Defense · Risk assessment · Microsoft
Palantir Technologies and Microsoft have deepened their partnership to integrate Microsoft's Azure OpenAI Service and high-security cloud with Palantir's suite of AI platforms within classified U.S. government environments. This collaboration enables U.S. national security missions to utilize generative AI, advanced analytics, and cloud-native data integration in secure, accredited environments. Palantir will deploy its Foundry, Gotham, Apollo, and AIP software across Azure Government and classified Secret/Top Secret clouds. Operators can now build and deploy AI-driven operational workloads with the combined capabilities of Azure's language models and Palantir's advanced data ontology tools. These advancements will support critical mission areas including logistics, contracting, action planning, and defense operations. Both companies are ensuring responsible AI and strong privacy standards throughout deployments. The move is pending final security accreditation by relevant government agencies and will be supported by hands-on trial bootcamps for qualified defense stakeholders. The partnership represents a significant shift in public sector AI adoption and sets new standards for technology use in defense and intelligence.
Production
What it builds
Compliance automation is the most common pattern in these deployments: 1.
Cloud providers named
Microsoft is named in 2 of these deployments.
- Microsoft67% of these2
- AWS33% of these1