Rung 0 AIOS Session
A paid 2-hour 1:1 CEO strategy session that ends with a configured AI scaffold for your business and a 30-day plan. The fee credits 100% to the Blueprint.
Learn MoreAn edge your board can measure.
Your board is asking what your AI strategy is. Most consultants answer with a slide deck. We answer with a working system — running on your own infrastructure, tied to one number on your P&L.
Sovereign by default
Self-hosted & audit-ready
By Titanium Labs
Strategy + a working system
Book your AI Pressure Audit
No cost. No obligation. An honest read on your business in 20 minutes.
No commitment · No credit card required
What We Offer
Our Services
Explore our full range of professional services tailored to your needs.
AI Blueprint
A 4–6 week engagement that produces a document you own outright — current-state map, the three builds worth doing, a sovereignty audit, an AI-vs-automation matrix, a 90-day roadmap, and a fixed-fee Build proposal ready to sign.
Learn MoreAI Build
A working AI system shipped live in your stack — documented, with a support window. Built on EDGE — AI agent teams, self-healing workflows, unified communications — sovereign and self-hosted on your own infrastructure.
Learn MoreTitanium Edge
About Us
You already did the hard part. Years ago.
When you scaled — when the business outgrew what fit in your head — you were forced to write down how it actually runs. SOPs, KPIs, workflows. That documentation is the AI project. Roughly 97% of mid-market AI work is one thing: take the logic you already wrote down and turn it into a system that runs it (IBM, 2026). The part that stalls a weekend prototype isn't the idea — it's handling real data securely, surviving an audit, holding up at scale. That's engineering, not a chatbot. It's the part we do.
- Diagnose → Execute → Govern → Compound
- EDGE — AI agent teams, self-healing workflows, unified comms on your infra
- Sovereign by default — self-hosted, logged, access-controlled
- We'll tell you when NOT to use AI
Proof of capability
We ship real systems. Here's the work.
We've built and run production AI systems: a HIPAA-aware multi-agent healthcare platform (Patient Copilot), a cost-aware pipeline that routes work through deterministic checks before escalating to premium models, a multi-agent orchestration system (Ottolax), and a licensing platform serving a portfolio of apps (Titanium Licensing). The EDGE operating system behind our engagements runs AI agent teams, self-healing workflows, and unified communications — sovereign, on the operator's own infrastructure.
This is work that doesn't get vibe-coded over a weekend. Real outcome figures are shared under NDA during the engagement — we don't put invented numbers on a website.
Common Questions
Frequently Asked Questions
Get quick answers to the questions we hear most often.
Sovereign by default. Sensitive work stays self-hosted, logged, and access-controlled — on infrastructure you control, not a shared SaaS tenant. For a regulated firm, “we use AI” and “we can prove where the data went” are different statements, and only one survives an audit. We design data residency, audit trails, and role-based access in from day one. The sovereignty audit is a named deliverable of the Blueprint, so the answer to “where does our data go?” is written down before anything ships.
You can prototype something over a weekend — the idea is rarely the hard part. What stalls is everything after: handling real client data securely, surviving an audit, holding up at scale, and not breaking the day the model changes underneath you. That’s engineering, not a chatbot. It’s also where AI agent teams, self-healing workflows, cost-aware model routing, and sovereign infrastructure come in — the work that doesn’t get vibe-coded. If a weekend prototype were enough, your board wouldn’t still be asking.
Pricing happens on the call, not on a webpage — because the right number depends on what’s actually worth building for your business, and that’s what the session is for. The starting point is the Rung 0 AIOS Session, a paid 2-hour working session whose fee credits 100% into the Blueprint if you go forward. So your first “yes” is paid discovery that pays for itself. We don’t publish public pricing and we don’t quote a fixed figure before we understand your operations. The Blueprint ends with a fixed-fee Build proposal — no open-ended retainer.
This fits if you run a $15M–$75M business with documented operations, the AI question is coming from your board, investors, or a partner, you don’t have an internal AI team to absorb it, and you’d rather own a working system than rent another tool.
It isn’t for you yet if you’re under roughly $10M and haven’t documented how you run, you already have a built-out internal AI function, or you want a chatbot demo rather than a system tied to your P&L. We’d rather tell you that early than take an engagement that won’t work.
No. Half the “AI projects” we get asked to scope don’t need AI — they need a clean deterministic process. We’ll tell you that before you pay us. It costs us revenue and it’s the most useful thing a real partner can say. Our method runs deterministic logic first and reaches for AI only where rules genuinely fail. You get a system that works, not a language model bolted onto a job a script does better. The AI-vs-automation matrix in the Blueprint makes that split explicit and honest.
Who's asking you about your AI strategy right now?
Board, investors, a competitor, your own team — if that question is live for you, the fastest way to walk into the next meeting with a real answer is a 20-minute pressure audit. No cost, no pitch. You'll leave with a straight read on where AI moves your P&L and where it's theater.