Three ways to put us in the room.
We work with a small number of teams at a time. Choose the shape that fits the problem in front of you. Tell us if none of these fit and we will tell you who is right.
Do you need a Chief AI Officer you cannot justify hiring full-time?
The majority of large companies have or are hiring a Chief AI Officer. Their counterparts at the 20-to-200 person scale have the same adoption gap, the same vendor noise, and a fraction of the budget. The executive seat exists. The headcount does not.
A Fractional CAIO engagement puts a named principal in that seat for a defined term. Strategy. Architecture. The hard calls about what to build, what to buy, and what to ignore. The work that gets done in a boardroom, not on a deck.
Aaron Lamb is the named principal. He runs Hexaxia AI and Hexaxia Technologies, the AI-native MSP it ships alongside, builds the products this practice runs against, and shows up to the conversations that decide where AI fits in your business. Not a consultant cycling client to client. The same operator who runs our own shop.
The engagement includes all three Hexaxia frameworks as the policy substrate. AGF defines what the systems are allowed to do. APF defines how they behave. ASIP defines how they change, keeping every update under human review so the AI you put in place does not drift out from under you. Proprietary, internal documents your team sees in detail during onboarding and can cite in your own security and compliance posture. See the frameworks.
Best fit for teams that have the AI adoption gap on their plate but no senior executive owning the bridge. Worst fit for teams who want a process consultant who will tell them what they already know.
We sit with your engineers and ship.
Build-with is not a consulting report. It is a sprint your team runs with ours embedded in it. We open PRs, write the architecture doc, sit in the standup, and leave you with a system that works instead of a deck that describes one.
Every engagement runs against a defined outcome. A working retrieval pipeline. An agent that does the job. A vendor migration you actually finished. We set the scope with you, the deadline is real, and the deliverable is code in your repo with your name on the commit history.
We move fast because we run our own infrastructure. RhizomeRAG for memory. Hextant for the strategic context. The same primitives we ship as products are the ones we bring to your stack. You inherit our tooling without paying for the rebuild.
Best fit for teams with a real roadmap and a missing piece of senior AI experience. Worst fit for greenfield discovery where the problem is still being defined.
Second opinion when the stakes are real.
Some decisions deserve a focused outside read. An architecture you are about to commit to. A vendor contract you are about to sign. A team build you want to validate before you start hiring against it. The kind of question where a generalist answer is worse than no answer.
Advisory is point-of-decision work. We come in for a specific question, do the read, deliver a written judgment with the reasoning, and leave. No retainer. No ongoing relationship implied. A clean second opinion from operators who have shipped the thing you are about to ship.
Best fit for engineering leaders who need to make a defensible call and want an operator opinion to back it. Worst fit for ongoing relationships, which is what Fractional CAIO exists for.
Same team, three shapes.
If you are not sure which one fits, start with a conversation. The shape often becomes obvious in the first thirty minutes.
Fractional CAIO
Build-with
Advisory
Time commitment
Weekly, quarterly term
2 to 6 weeks, embedded
Single engagement
Output
Strategy, calls, direction
Working code in your repo
Written judgment
Continuity
Ongoing relationship
Project-scoped
Point-in-time
Who from us
Aaron, named
Aaron plus 1 to 2 builders
Aaron, or Jay where his read fits
When it fits
You need senior AI direction
You need senior AI delivery
You need a defensible call
Tell us what you are trying to do.
If we are the right fit, we will say so. If we are not, we will point you at someone who is. We work with a small number of teams on purpose.