Generative AI Integration for Enterprise Workflows
A structured approach to integrating generative AI capabilities into enterprise workflows — selecting appropriate models, establishing data governance, and deploying within security boundaries that protect sensitive information.
Challenge
- Interest in generative AI capabilities but uncertainty about secure deployment models
- Risk of sensitive data exposure through public AI services
- No framework for evaluating, governing, and monitoring AI model usage
Approach
- Assess use cases and classify by data sensitivity and deployment model requirements
- Deploy private LLM infrastructure or authorized FedRAMP AI services for sensitive workloads
- Implement retrieval-augmented generation (RAG) patterns for domain-specific knowledge
- Establish AI governance policies for acceptable use, monitoring, and responsible AI principles
Typical Outcomes
- Secure, private AI capabilities deployed within authorized boundaries
- Measurable productivity improvements in targeted workflows
- Governance framework enabling responsible AI adoption across the organization
Procurement Paths
- NASA SEWP V for AI/ML hardware and cloud services
- GSA MAS for AI engineering and advisory services
- CIO-CS (NITAAC) for enterprise AI platforms
Partner Technology Examples
- NVIDIA
- Microsoft Azure (OpenAI Service)
- AWS GovCloud (Bedrock)
- Elastic
Odin's Edge — For When the Cloud Isn't an Option
Norseman's Odin's Edge is a fully autonomous edge AI platform delivering AI inferencing, ruggedized storage, private 5G, containerized desktops, and ServiceNow ITSM in a single field-deployable unit — engineered for DDIL (Disconnected, Degraded, Intermittent, and Limited bandwidth) environments.
Explore Odin's Edge →Frequently Asked Questions
Can federal agencies use generative AI without sending data to commercial cloud providers?
Yes. Norseman specializes in private, air-gapped large language model (LLM) deployments that keep all data within the agency boundary. These run on dedicated NVIDIA GPU infrastructure and never route queries or data to commercial AI providers.
How is generative AI procurement handled for federal agencies?
AI infrastructure -- particularly GPU compute -- is procurable via NASA SEWP V and ITES-4H. Professional services for AI integration are available via GSA MAS and CIO-CS.
What is Odin's Edge and how does it relate to AI?
Odin's Edge is Norseman's autonomous edge AI platform. It delivers on-device AI inferencing, ruggedized storage, and private 5G in a field-deployable unit designed for disconnected environments where cloud AI is not an option.