Veil AI — AI Operating Systems for Business Owners

Free Playbook

How to Build Your AI Operating System

Most business owners are using AI wrong — not because of the tools, but because they haven't built the infrastructure around them. This guide is the framework I wish I'd had.

12 chapters. Real case studies from Killer Electric and Resident Care Plans. No theory — the actual architecture decisions, workflow breakdowns, and hard lessons from running AI at scale in regulated industries.

Why "using AI" and "running your business on AI" are completely different things
The 5 workflows every business should automate first
How to build the integration layer without a dev team
What not to automate — and the safety rules I never break
Real case studies: KE quoting pipeline + RCP documentation (3–4 hrs → 15 min)
Your 90-day roadmap from zero to running

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The Problem

Everyone's talking about AI.
No one's showing you how to use it in a way that actually moves the needle.

If you've tried the tools and walked away without a real system — you're not behind. You just haven't had a setup that works for you instead of you working for it.

There are too many tools and none of them connect.

A thousand AI products, none of them talking to each other, none of them knowing your business. Overwhelming before it's useful.

You tried it. It didn't stick.

Chatting with an AI is one thing. Having it actually run part of your business is a completely different setup — and nobody taught you that part.

Your entire workflow is one bad terms-of-service away from zero.

If you live inside ChatGPT or any single provider and they suspend your account — they have that right — you lose everything. Memory, automations, integrations, context. Gone. The answer isn't a backup plan. It's ownership from day one.

Programs

Three ways to work together.

Four ways to work together — from free community workshops to full business implementation.

Free Event

🎤

Community Workshop

A 2-hour live event at Cahoots, Ann Arbor. The AI OS framework — hands-on, non-technical, practical. Open to anyone.

Free

No prerequisites — bring a laptop

The Capture → Context → Intelligence → Action → Oversight framework
Live workflow mapping exercise — identify your highest-ROI automation
Real case studies from Killer Electric and Resident Care Plans
Take-home attendee worksheet
Recording + resources emailed after

Notify Me of Next Event →

Live. 1-on-1. You leave with a running setup.

We get on a screen share and work through your setup together. Most people are running within 2–3 hours — timing depends on where you're starting from and how familiar you are with account setup. After the live session, you have retainer access for questions and issues as they come up.

1

Intake & Prep

After purchase you'll get a short intake form — what tools you use, what you want automated. This means we use the live session time on what matters, not on basics.
2

Live Session (2–3 hrs)

Screen share. We install and configure your private AI agent, connect it to your tools, and get your first automations running together. You're in the driver's seat — we're just navigating.
3

Retainer Access (8 hrs total)

Things come up after setup. Permissions break. You want to add something. Message me directly in Slack — we sort it together. Billed in 15-minute increments against your retainer.
4

Continued Support (after 8 hrs)

Once the retainer is used, continued access is available at a rate we'll establish based on what you need — whether that's direct support or a dedicated support engineer for more technical work.

What's Included — $1,200

Live onboarding session 2–3 hrs

Total support included 8 hrs

Billing increment 15 minutes

Support channel Private Slack DM

After 8 hrs Rate by scope

Includes Self-Serve Guide

Buy Now — $1,200 →

📌 Heads up on ongoing infrastructure costs Getting set up requires accounts with a cloud provider (AWS, Azure, or GCP) and an AI API provider like Anthropic or OpenAI. Those are billed directly to you — not included here. Expect $100–500/month ongoing depending on how often you use it and what you have running. For context: across one of our own businesses, we're spending around $500/month on API and infrastructure alone. This program gets you set up correctly — the ongoing cost is yours to own.

What You Walk Away With

Not a certificate. A working AI assistant.

Your own private AI — available any time of day, connected to your tools, running the tasks that used to eat your week.

🏠

You own everything — data, memory, integrations

Your AI runs on your infrastructure. Your data stays in your systems. No third party holds your CRM, your memory layer, your automations, or your business logic. You're not renting access to your own operation — you own it outright.

🔌

Swap providers in 15 minutes, not 15 weeks

If OpenAI suspends your account, raises prices, or changes their terms — and they have the right to — most people are starting from zero. You're not. Your memory layer, your orchestration, your tool connections all stay intact. You point to a different model API and you're back up. No support tickets. No data recovery. No rebuilding from scratch.

🤖

An AI employee you can hire, fire, or replicate

This isn't a SaaS subscription. It's infrastructure. You can spin up another agent, retire one that's not working, or hand the whole setup off to someone else. You're in control — not locked into a vendor's roadmap.

🔗

Connected to your actual workflow

Email, calendar, documents — your AI knows your context. It can draft, summarize, remind, and execute. Your marketing, your follow-ups, your quotes, your documentation.

⚙️

Live automations built for your use case

Not demo workflows. Built around the tasks that actually cost you time — you pick what gets automated, we build it to run reliably.

📚

A system you understand and can grow

No black boxes. No dependency on a vendor you can't reach when something breaks. You'll know how it works and how to expand it as your business grows.

Who This Is For

You built a business. AI shouldn't require starting over.

These programs meet you where you are — no engineering background required.

Business Owners

Running a company with limited staff? Your AI handles the admin that eats your week — scheduling, follow-ups, research, drafting.

Experienced Professionals

Still sharp, still building, but watching younger colleagues use tools you haven't learned yet. Close the gap — and get ahead of it.

W2 Employees in Transition

Thinking about consulting, a side business, or what's next? AI is your force multiplier — do more with your expertise alone.

Operators in Regulated Industries

Healthcare, legal, financial, construction — real compliance requirements. Every setup keeps your data on infrastructure you control.

Who You're Working With

Andrew Antemie

8+ years delivering production AI systems across automotive, gaming, healthcare, and blue-collar industries. Currently operating two businesses that run entirely on AI infrastructure he designed and built himself.

People kept asking how these systems work. This is the formal answer — because doing it for free doesn't scale.

⚡

Killer Electric

Licensed electrical contractor, SE Michigan — AI runs lead triage, quoting, and client comms

killerelectric.com ↗ 🏥

Resident Care Plans

HIPAA-compliant SaaS — AI reduces RN documentation from 3–4 hrs to ~15 min

residentcareplans.com ↗

View Profile on LinkedIn

🏭

Automotive — ML-Driven Automation (Large & Small OEMs)

Built ML-driven automated testing and calibration systems for ADAS sensor programs across multiple large and small OEMs. Python data pipelines and iterative model optimization reduced calibration cycle time 20x. Secured a $40M direct OEM partnership through delivery performance. Managed $500M+ in lifetime program value.

🎮

Electronic Arts — Cloud Infrastructure & AI

Managed cloud migration and platform roadmaps across 30+ product teams. Leveraged AI and systems to surface cost optimization backlogs, reduce planning overhead, and improve data flow between cross-functional squads — giving leadership the visibility to make faster decisions.

🏥

Roman Health — HIPAA Compliance & Zero-Trust AI

Led design of a zero-trust API integration framework for AI service access across enterprise health infrastructure. Managed full AI/ML delivery lifecycle — identity verification, access scoping, and audit logging for production AI agents in a HIPAA-regulated environment.

⚡

Running Two Regulated Businesses on AI — Right Now

Killer Electric and Resident Care Plans both run on multi-agent AI infrastructure — LLM pipelines, RAG architecture, HIPAA-compliant data handling, full AWS deployment. Not a proof of concept. Production systems.

FAQ

Questions

Which program is right for me?

Start with the free community workshop if you want to understand the framework before committing to anything. The $1,200 onboarding is for people who want someone to walk through it live and be available when issues come up — you leave with a working setup. Business implementation is for owners who want AI running across their entire operation — outreach, documentation, quoting, lead handling — without spending months learning to build it themselves.

Do I need a technical background?

No. You'll need a laptop, login access to your main tools, and an email account. That's the starting point. Everything else gets figured out together.

How does the retainer work?

The $1,200 includes 8 hours of total support — the live onboarding session counts toward that. After the 8 hours are used, continued access is available at a rate we establish based on what you actually need. Some clients need direct support; others benefit from a dedicated support engineer for more technical work. We'll figure that out together.

What does "private Slack DM access" mean?

A direct line — no tickets, no support queue. When something breaks or you want to add something new, you send a message. That time comes out of your retainer in 15-minute increments. You're not waiting on a help desk. You're messaging directly.

What happens to my data?

Your AI runs on your own infrastructure — your own machine, a private server you control, or a cloud server you're renting (AWS, Azure, GCP). Your data is encrypted on that infrastructure. You're not handing unencrypted access to anyone. The cloud provider hosts the server — they don't have visibility into what's running on it. Your setup, your conversations, your business logic: all of it lives where you put it.

What are the ongoing costs after setup?

You'll need a cloud provider account (AWS, Azure, or GCP) and an AI API account (Anthropic or OpenAI) — both billed directly to you, not to us. Costs range from $100–500/month depending on how often you use it and what you have running. For context: we're spending around $500/month across one of our own businesses on API and infrastructure alone. This program handles setup — the ongoing cost is yours to own. It's not a subscription to us.

I work in a regulated industry. Is this appropriate?

Yes — and it's where this stands out. Andrew has navigated HIPAA compliance, automotive safety-critical systems, and state licensing requirements. The stack is configured to keep all data within your controlled environment. Not a ChatGPT wrapper.

What happens if OpenAI or Anthropic suspends my account?

If your entire workflow lives inside ChatGPT or any single provider, a suspension — which they have the right to issue under their terms — means you lose everything: memory, automations, integrations, context. Starting over. With this setup, your memory layer, your orchestration, and your tool connections all live on infrastructure you control. You point to a different model API and you're back up and running in minutes. No data recovery. No rebuilding.

How many clients do you take at once?

Intentionally limited. The 1-on-1 model only works if the support is real and response time is fast. Capacity is capped to keep both.

Stop prompting AI.Start running your business on it.