AI consulting in Virginia — production agents, not demos.

Virginia organizations getting serious about AI need senior engineering, not slide decks. We build production-grade AI agents grounded in your data, governed by your rules, observable end-to-end. Fairfax-based senior team, 20 years of enterprise delivery, AI defaults you can audit.

20 yrs
Enterprise delivery from Virginia
100%
Senior engineers on every client-facing role
ISO 12207 + 27001
Certified delivery + infosec
AI consulting Virginia — production AI agents, governed and observable

Most AI consulting is demoware. We ship governed agents.

Many Virginia companies have spent the last two years on AI pilots that never reached production. The pilots demo well — the agent answers questions, drafts emails, classifies tickets — but operations teams refuse to deploy because hallucinations are unpredictable, governance is absent, audit trails don't exist, and rollback paths are unclear.

NETLINKS' AI work starts from the opposite end. Every AI agent we build has: grounded retrieval (answers cite specific source documents), human-in-the-loop on regulated decisions, full audit trail (who asked what, what the agent answered, what sources it used), explicit guardrails (model can't take destructive actions without approval), and observability (latency, cost, accuracy tracked in production).

Engagement model: paid 4-week AI pilot (typical cost $40-80K) ending in a deployed prototype + production deployment plan. Most clients move from pilot to production within 8-12 weeks if the pilot validates.

— AI scope

What we build.

Grounded RAG agents

Retrieval-augmented agents with full citation and provenance. Pgvector, Pinecone, or your existing vector store.

Agentic workflows

Multi-step agents with tool use, human-in-the-loop gates, and observable state transitions.

AI governance

Audit logging, guardrails, content moderation, model evaluation, drift monitoring.

Odoo-embedded AI

AI inside Odoo workflows — invoice classification, ticket triage, procurement query handling.

Model strategy

OpenAI vs Anthropic vs open-source. Cost / latency / accuracy trade-offs. AI Gateway routing.

AI training & enablement

Training your team on responsible AI usage, prompt engineering, evaluation methodology.

— Questions

Virginia AI consulting — questions we hear.

Should we use OpenAI, Anthropic, or open-source models?
Depends on data sensitivity, latency requirements, and cost. We route per use case via AI Gateway: GPT / Claude for high-quality reasoning, open-source models (Llama, Mistral) for lower-cost / on-prem deployments. Most production systems use 2-3 model providers with explicit routing rules.
How do you handle AI hallucinations in regulated workflows?
Grounded retrieval (agent can only answer from provided source documents, with citation), human-in-the-loop gates on regulated decisions, model evaluation with held-out test sets, and explicit guardrails on actions the agent can take. Hallucinations get caught before they reach customers or regulators.
What's a typical AI pilot cost?
$40-80K for a 4-week pilot, ending in a deployed prototype + production deployment plan. Production deployment typically $80-300K depending on scope. Multi-year managed services follow at 15-25% of build cost annually.
Can you embed AI inside Odoo?
Yes — Odoo-embedded AI is one of our specialties. Invoice classification, ticket triage, procurement query handling, sales lead scoring, and customer-support deflection all configurable inside Odoo workflows with proper governance.
Are you a small business?
Yes — NETLINKS Inc is a small business by SBA standards. Specific certifications on request.
How do I get started?
30-min discovery → scoped proposal → engagement. Most engagements start with a paid structured discovery that ends in a written design + firm fixed-fee proposal.

Scope a Virginia AI engagement from senior engineers.

30-min discovery → 4-week paid pilot → production deployment. Grounded, governed, observable — not demoware.

Start the scoping