Most AI initiatives stall in the gap between the boardroom and the build. Our transformation program closes it: a fractional Chief AI Officer running a fixed monthly cadence inside your company — setting the roadmap, shipping real workflows, and transferring the capability so your team can run it without us.
A dozen promising experiments, none in production. No owner, no roadmap, no line to the P&L.
Tools bought, nobody trained. AI lands as a memo instead of a new way of working.
No evaluation, no guardrails, no governance — so the safe move becomes doing nothing.
An fCAIO is senior AI leadership on a fractional basis — the judgment and ownership of a Chief AI Officer without the full-time executive hire. Your fCAIO runs the program end to end: strategy, the roadmap, the builds, the training, and the reporting back to leadership.
A principal-level AI leader operating inside your company — not a deck from outside it. They sit in your exec meetings and your standups.
A repeatable four-week operating cycle that turns intent into shipped workflows, every month, with a written impact report each time.
Every system, decision, and playbook is documented for your team. Success is the month you no longer need us in the room.
Every month follows the same four-week shape — so progress is legible to you and your team alike, and compounds instead of scattering.
Review the KPIs, adjust the roadmap, and make the priority calls with leadership. One page in, one page out.
Sit inside a team, map the real workflows, and pick the handful worth automating or augmenting first.
Build. High-impact automations, AI features, and workflow changes shipped to production — evaluated before they go live.
Train the people who’ll own it, publish the month’s impact report, and pre-load next month’s plan.
The first ninety days are fixed and outcome-based. By the end of them you have systems in production, people who can run them, and a roadmap your own team owns.
AI readiness audit across data, tooling, and skills
Opportunity map scored by impact and effort
The first workflow live in production
Three to five high-impact builds shipped
Evaluation and guardrails wired in from day one
First teams trained on what we shipped
Rolled out to more of the team
Simple AI usage guidelines in place
Your people running the cadence themselves
Every tier runs the same monthly cadence — they differ in how much we build and how broadly we roll out. Most engagements start at Build.
to systems live in production, not slideware
a single accountable AI leader, from day one
the fixed cadence that compounds month over month
of playbooks documented and handed to your team
Programs start with a thirty-minute scoping call — no pitch, no statement of work. We’ll map where AI actually pays off in your business, and tell you within a week whether we’re the right team to install it.