AI Readiness & Data Assessment
We audit data lineage, governance, and infrastructure maturity, then deliver a prioritized roadmap of AI use cases ranked by measurable return.
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Enterprise AI Consulting Services That Reach Production
Virginia-based enterprise AI consulting: AI readiness assessments, private LLM deployment, multiagent system engineering, and secure MLOps on AWS, Azure, and Google Cloud. On-site VA/DC/MD, remote US and Canada.
What Our AI Consultants Deliver
Private LLM & RAG Deployment
Retrieval-augmented systems deployed inside your own VPC, with vector storage, evaluation harnesses, and zero data egress to public model providers.
Multiagent System Engineering
Orchestrated agent workflows with tool calling, guardrails, human-in-the-loop escalation, and full audit trails for regulated environments.
MLOps & Model Governance
CI/CD for models, drift monitoring, prompt versioning, and cost controls so AI workloads stay observable and predictable in production.
AI Security & Compliance
Threat modeling for prompt injection and data exfiltration, plus alignment to SOC 2, HIPAA, and FedRAMP-adjacent control frameworks.
Fractional AI Leadership
Hands-on architecture ownership and vendor selection for teams that need senior AI leadership without a full-time executive hire.
Deploy AI on your cloud platform
AI Consulting FAQ
- What does an AI consulting engagement include?
- A typical engagement starts with an AI readiness and data assessment, moves into a scoped pilot with clear success metrics, and ends with a production deployment plus enablement for your internal team.
- How much do AI consulting services cost?
- Most enterprise AI engagements land between $45,000 and $250,000 depending on scope, data complexity, and delivery speed. Our interactive ROM estimator gives you a same-day range before any call.
- Can you deploy AI without sending our data to public model providers?
- Yes. We deploy private LLM and retrieval systems inside your own AWS, Azure, or Google Cloud tenancy so proprietary data never leaves your security boundary.
- How long does an enterprise AI project take?
- A focused pilot usually ships in 6 to 10 weeks. Full production rollouts with governance, monitoring, and integration work generally run 3 to 6 months.
- Do you work with companies that have no AI infrastructure yet?
- Frequently. AI data readiness is one of our core pillars — we handle pipeline consolidation, data quality, and platform selection before any model work begins.