Technology and AI officer · On demand
You do not need a full-time technology officer. You need the right call at the right moment, from someone with no budget to defend and no vendor to favor. Already have a CTO or CDAO? This is the outside view they cannot give you.
The record
USAF Lt Col (ret). Air Force Lead on the White House AI Futures Working Group. Deputy Chief at the Defense Intelligence Agency. Chief Data and AI Officer and CTO for operating companies since 2024.
Why an outside officer
A full-time technology officer is a large fixed cost for a job that comes in bursts: a vendor decision, a hire, a build, a crisis. Bring in senior judgment when the decision is live, and stop paying when it is made.
An inside officer has a budget, a team, and past decisions to defend. I have none of those and no vendor to favor. Good leaders with strong CTOs and CDAOs still want one voice in the room with nothing to protect.
What one field solved years ago is often what another is stuck on today. I bring the pattern from the field that already solved it.
What you get out of it
Who I work with
EMR-aware, HIPAA-conscious work across AWS and HubSpot stacks. Translate clinical and operational workflows into shipped AI features.
CEOs and CTOs who need a calm, technical partner to examine vendors, pilots, and the build versus buy calls without the hype.
Diligence on AI companies and infrastructure plays. Architecture, moat, cost curve, and team realism, in plain language.
What you get
Six places I add the most leverage. Not every engagement touches all six. Most touch three.
From scattered ideas to a sequenced plan tied to revenue, risk, and the team you actually have.
Data, model, vendor, latency, and cost. RAG, agents, and workflow automation evaluated against your real constraints.
Move beyond demos. Reliability, evaluation, observability, and the unglamorous plumbing that makes AI ship.
Org design for AI. What to hire, what to upskill, what to outsource. Coaching for engineering leaders.
Technical and operational diligence on AI companies. Honest reads on defensibility and execution risk.
AI policy, data handling, model risk, and audit posture that holds up in regulated and enterprise contexts.
How engagements work
Most companies engage me somewhere between idea and pilot. The work compounds from there.
A focused conversation. Where you are, where you want to be, and whether this is the right fit.
A short engagement to map the terrain. Architecture, team, vendors, risks, and the highest-leverage moves.
An on-demand retainer for continuous leadership, or a fixed-scope sprint to ship a specific outcome.
Done for you
Three steps, each with a fixed scope. You can stop after any of them and keep everything you paid for.
I look inside the business and hand back a ranked list of what to fix first.
Confirmed after a short scoping call. No open-ended hours.
5 business days. Fixed scope.
I deploy the top fixes. You see what changed by the end of the sprint.
Confirmed after a short scoping call. No open-ended hours.
2 weeks. Fixed scope, agreed before work starts.
I keep the agents running, measure them, and add the next ones.
Confirmed after a short scoping call. No open-ended hours.
Monthly. Cancel any month.
Flat fee
A fixed monthly fee. You keep every dollar the work produces.
Best when you want a known cost and no one else looking at your books.
Outcome-linked
A lower base, plus a capped share of gains measured against your baseline.
Available when I am connected to your CRM and billing, so the numbers come straight from the source. The Audit sets the baseline, and the terms are in writing before work starts.
Free · 10 minutes
Eight plain questions. You get a score, the areas to fix first, and the next step that fits.
0 of 8 answered
Answer all 8 to see where you stand and what to do first. Nothing is stored or sent.
Engagements
Most engagements start with a Readiness Diagnostic or a discovery call. Scope and investment are quoted per engagement after a short conversation.
A short, decisive engagement to map the terrain before you commit capital.
2 to 4 weeks. Fixed scope.
Best for. Operators and executives who need a clear-eyed read on where AI fits, what to build versus buy, and what to do first.
Ongoing technical leadership without the full-time hire.
Monthly retainer. Typically 3 to 6 months minimum.
Best for. Founders and CEOs who need a steady technical partner in the room for roadmap, hiring, vendor calls, and the hard decisions.
A fixed-scope sprint to move one AI initiative from idea to shipped.
4 to 8 weeks. Outcome-based.
Best for. Teams who know what they want to ship and need senior leadership to sequence the work, set the evaluation bar, and stay close to delivery.
Independent technical and operational diligence on an AI company or investment.
1 to 3 weeks. Fixed scope.
Best for. Funds, family offices, and acquirers evaluating an AI bet who want an honest read on defensibility, execution risk, and cost curve.
Background
CTO experience in health-tech infrastructure. Air Force veteran. Elite OCR athlete. Author of the Seven Gates framework for leadership maturation. The same discipline that builds platforms builds people.
Selected work
Health-tech
Stabilized a clinical platform and restored engineering velocity.
Read the storyDefense
Modernized across a combatant command without breaking field trust.
Read the storyHealth-tech
Took a HIPAA-conscious platform from pilot to production.
Read the storyAsk me directly
Post the question in the community and get an officer-level answer. The playbooks come from the same deployments, for teams that want to do the work themselves.
The playbooks, templates, and lessons from real deployments, taught in the open.
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Follow the work
One conversation. No deck required. We will know quickly whether there is a fit.