What if you could hire a Chief AI Officer—without the $500K salary?
I build and operate the AI layer that automates your business. Not software you deploy - a system I run, shape, and refine based on what's actually delivering value.
The Core Insight
Most companies trying to "do AI" face the same problem: they need strategic leadership to figure out what's actually possible, AND they need technical execution to build it. Hiring both means $500K+ for a CAIO and $300K+ for a senior AI engineer.
zeros delivers both for $25K/month ($300K/year). Plus ~$500-1,000/month in pass-through costs for LLM inference and infrastructure.
You get Marc Ohmann—25 years of systems experience, now focused entirely on making AI work for mid-market businesses—plus a self-learning platform that embeds in your data and grows smarter over time.
What I'm Building For You
Don't buy software and hope it works. Hire me to build AI that takes work off your plate. I'm not an advisor you see quarterly - I'm the one mapping your data, watching what queries actually get asked, and tuning automation so it continuously delivers. I'm in your systems. I see your gaps. And I'm personally ensuring zeros grows useful to you.
The Economics
| What You'd Pay Separately | Annual Cost |
|---|---|
| Full-time Chief AI Officer | $350K–$500K+ base |
| Senior AI Engineer | $250K–$400K loaded |
| Enterprise Knowledge Graph Consulting | $100K–$500K upfront |
| zeros (CAIO + Platform + Ongoing Delivery) | $300K/year |
Who This Is For
Scaling businesses drowning in systems that don't talk to each other. Data across databases, SaaS tools, spreadsheets - and people who know what's locked inside but can't query it.
You're not looking for a ChatGPT subscription. You want automation that runs in the background, surfacing what matters, alerting on risks, letting you query your business not generic AI. You want institutional knowledge captured, not lost when people leave.
I built zeros because nothing beats watching a business suddenly move faster - decisions that took days now happen in minutes, work that required five people now runs itself, institutional knowledge that lived in one head now belongs to the system. That's what AI is actually for: not chatbots that talk smart, but automation that makes you more productive and creates the foundation for scaling.
No one else is building this for the mid-market. Enterprise tools cost enterprise budgets and assume an army of integrators. Off-the-shelf AI gives off-the-shelf answers. You need something that understands you.
This is partnership, not vendor. I'm not selling you seats and walking away. I'm building something that gets smarter about your business every month because I deeply care about it delivering real productivity and scalability.
What You Get
Strategic AI Leadership
Not advisory-only. I personally ensure zeros delivers value—understanding your business, mapping what matters, evolving the platform with you.
Custom Ontology Build
Your business knowledge graph, mapping entities, relationships, workflows, and rules. The context that makes AI actually useful.
System Integration
Read-only connections to your databases, APIs, and SaaS tools. Your data stays where it is—PII sanitized before analysis.
Self-Learning Platform
AI that continuously walks your ontology—finding gaps, building connections, surfacing opportunities you didn't know to ask about.
AI Agents That Work
Automation built on understanding, not guesswork. Agents that know your domain because they're backed by your institutional knowledge.
30-90 Days to First Intelligence
Not a 6-month implementation. You start querying your business in weeks while the ontology continues building in the background.
Why Low-Touch Fails
A $5K/month self-serve "AI platform" sounds appealing. Here's what it actually delivers:
- Generic answers (no custom ontology)
- Missed institutional context
- No proactive opportunity discovery
- Shelfware within 6 months
The value is in the partnership. Custom ontology building, feedback-driven learning, and someone who's mapped businesses like yours before. That's what makes zeros work when self-serve tools gather dust.
The Boundary Mechanisms
Fractional doesn't mean unlimited. Here's how it works:
- Included hours: 10 hours/month direct consultation; zeros provides unlimited self-serve
- Scope definition: Defined systems; new integrations require separate SOW
- Communication SLA: 48hr async response; weekly 30-min or bi-weekly 60-min calls
- Emergency definition: Production-down only; feature requests are not emergencies
This isn't about nickel-and-diming. It's about sustainable delivery that lets me serve you well for years, not burn out in months.
Ready to talk?
15 minutes. No pitch deck. Just your questions about whether fractional CAIO makes sense for your business.
Let's Talk