90% of employees at companies with no official AI policy are already using personal ChatGPT accounts for work. Your clients' data is leaving the building without your knowledge. We assess what's happening, deploy AI that stays on your infrastructure, and build it to your exact requirements.
These are published figures from federal agencies — not worst-case marketing. The organizations that survive these incidents are the ones that had defensible systems in place before the inquiry started.
The organizations below have the most to lose from consumer AI exposure — and the clearest case for a private deployment built to spec.
Attorney-client privilege ends the moment client data touches a third-party AI. Private LLMs let your team use AI freely on documents that never leave your network.
No cloud AI vendor covers free-tier consumer use under a HIPAA BAA. Private deployment lets your practice adopt AI today without putting PHI on anyone else's infrastructure.
Client NPI, account data, and trading strategy belong on your network. SEC and FINRA are actively building AI enforcement guidance. Get the architecture right before they ask.
ITAR, EAR, and CMMC 2.0 have teeth. If your engineers are using AI tools with controlled technical data, the exposure is already in progress.
IRB-protected data, unpublished findings, and grant IP shouldn't leave your institution's network. Local AI keeps your research private until you decide otherwise.
CUI handling requirements, DFARS, and FedRAMP mean cloud AI is off the table for most government work. On-premises is the only architecturally defensible path.
Every project is scoped and priced before we start. You know what you're getting, what it costs, and when it ships — before you sign anything.
We design and build AI systems. We are engineers, not lawyers, compliance officers, or auditors. The systems we build are aligned to the requirements you bring us — which means they are only as good as your understanding of your own regulatory obligations. Complete requirements produce complete systems. Gaps in what you tell us become gaps in what we build.
Nothing on this page is legal advice. We don't certify compliance, issue legal opinions, or take responsibility for obligations you haven't disclosed. We follow established security frameworks (OWASP, NIST, OWASP LLM Top 10) and document everything we build. Whether that documentation satisfies your specific auditors is between you and them.
What we can tell you: organizations with defensible, documented, private AI systems are in a fundamentally better position than those whose teams are quietly using consumer AI tools with no policy and no audit trail.
In 2026, anyone can call themselves an AI consultant. Here's what's actually relevant.
SecurityX (formerly CASP+) is CompTIA's highest-level certification — above Security+, CySA+, and PenTest+. It targets senior security architects and engineers, not entry-level practitioners. This is what makes the security assessment component real — not a checklist exercise.
Made video demos for a brand new CompTIA certification (AutoOps+) before it even launched — as an official Subject Matter Expert. If you've taken CompTIA courses recently, there's a reasonable chance I'm in the video.
Web security at GoDaddy (production scale). Network architecture for JD Sports / Finish Line across national retail footprint. Private AI deployment requires networking, storage, and security expertise simultaneously. This isn't a single-skill role.
Delivered over 50 CompTIA certification courses for military and government clients through multiple training organizations. Security-cleared audiences with zero tolerance for vagueness — that's the standard I work to.
Applied ML research in synthetic control methods for professional use — not just tutorials. Understanding the math behind AI matters when you're building systems that make decisions with real data.
Multiple GPUs, dedicated storage servers, hybrid cloud integration — all running in production. I'm not describing what private AI looks like from a whitepaper. I run it. The systems I build for clients are based on what I live with every day.
Reviews from Wyzant.com — one-on-one student sessions. 4.9★ across 924 reviews.
No six-month transformation roadmaps. You'll have something working — something your staff is actually using — on a timeline your leadership can verify.
I learn your vertical, team size, existing hardware, and compliance obligations as you understand them. You leave knowing whether this is a fit and roughly what it costs — in 20 minutes.
Within 48 hours: exact scope, exact price, exact deliverables, exact timeline — built from what you told me. The clearer your requirements, the sharper the proposal. No hourly billing.
On-site or remote. Infrastructure, model, RAG pipeline, security hardening — all to spec. Most Starter projects are live within 2–3 weeks of a signed proposal.
Half or full-day hands-on workshop with your actual system and documents. Written runbook included. You own everything. Support window starts on go-live day.
Tell me about your organization. I'll tell you your specific exposure, what's realistically possible, and what it would cost — based on what you describe. No obligation, no pitch deck.
Not legal advice. This call is a technical consultation. Compliance determinations should be made with qualified legal counsel in your jurisdiction.
By booking, you agree to our Terms of Service and Privacy Policy.