Your team wants ChatGPT.
You need it safe. I build that.

A private AI environment that works like the tools your team already uses. Your data stays in your infrastructure. Not mine, not OpenAI's. Yours.

Free AI tools aren't built for business.

ChatGPT, Gemini, and free-tier AI tools are consumer products. They're good at what they do. But they're not built for companies that handle client data, financial records, or anything confidential. The gap between "useful" and "safe for business" is where most companies get burned.

Your inputs train their models

Free-tier AI uses your data to get better. That client email your employee pasted in? It could influence outputs shown to other users. Including your competitors.

Zero visibility

Everyone uses their own account. No logs. No audit trail. No way to prove compliance when a client or regulator asks how you handle AI data.

No restrictions on data

There's no way to restrict what data goes in. An intern has the same access as the CEO. There's no policy enforcement at the tool level. It's wide open.

A compliant AI environment your team will actually use.

I build private AI workspaces that run on your Azure subscription. Your data never leaves your infrastructure. Your team gets AI that feels like the tools they already know, so they actually use it instead of going back to ChatGPT.

Runs on YOUR Azure subscription

Not my servers. Not a shared platform. Your Azure tenant, your subscription, your data boundary. I configure it. You own it. If we part ways, everything stays with you.

Connected to your tools

Your CRM, email, documents, databases. Not generic plugins. Custom integrations built for how your team actually works. The AI knows your business because it's connected to it.

Policies enforced by the system

Rules about what data can be processed, who can access what, and what gets logged. Not a PDF nobody reads. Actual technical controls baked into the system that work whether people follow the rules or not.

Full audit trail

Every interaction logged. Every data flow documented. When a client or regulator asks how you handle AI, you have real answers backed by records. Not a policy document. Proof.

I do the work. No handoffs.

A lot of AI consulting firms work like this: a senior person sells you the project, then a junior team builds it. You never talk to the person who actually touches your systems.

That's not how I work. You talk to me. I assess your setup. I build the environment. I configure the integrations. I onboard your team. I handle support. Same person, start to finish.

CISSP-certified. 12 years in U.S. Army intelligence. I'm not learning security on your project.

CISSP Security+ M365 U.S. Army 35M/CI

How it works.

01

Free assessment

30-minute call. I learn what tools your team uses now, what data they handle, and where you're exposed. You walk away with a clear picture of your AI risk whether we work together or not.

02

Pilot with 5 users

I start small. 5 users, 3 weeks. Your team tests the AI environment with real work. You see it running on your infrastructure before committing to a full rollout. No risk.

03

Full rollout + support

Once the pilot proves out, I expand to your full team. Onboarding, custom integrations, ongoing management and updates. I don't build it and walk away.

Questions I get asked.

Can I see something running before I commit?

Yes. That's what the pilot is for. 5 users, 3 weeks, running on your Azure subscription. Your team uses it with real work. You see exactly what you're getting before you sign anything bigger.

What do I walk away with?

A working AI environment on your infrastructure. Your team has an AI workspace they can use for real work. You have audit logging, access controls, and usage policies enforced by the system. And you have documentation for everything.

What does my team need to do?

Show up to a 30-minute onboarding session. That's it. The AI workspace is designed to feel familiar. If your team can use ChatGPT, they can use this. I handle the technical side.

How do you handle our data?

I don't. That's the point. Everything runs on your Azure subscription. Your data stays in your tenant. I configure the environment, but your data never touches my systems. When the project is done, you own everything.

Who actually does the work?

Me. I'm not a firm with junior staff doing the builds. You talk to me on the assessment call. I build your environment. I onboard your team. I handle support. One person, one line of accountability. Here's my background.

What happens after deployment?

I offer monthly management. Monitoring, updates, new integrations as your needs grow. AI moves fast. Your environment should keep up. If you want to manage it yourself after deployment, I'll hand over full documentation.

What if it doesn't work for us?

That's why we start with a pilot. 5 users, 3 weeks. If it doesn't work for your team, you know before you've committed to anything bigger. You make that call based on real usage, not a sales pitch.

Ready to give your team safe AI?

30-minute call. I'll look at where you're exposed and show you what a secure setup looks like for your business. No cost. No pitch deck.