What is a fractional Chief AI Officer?
A fractional Chief AI Officer is a senior AI operating executive who joins your leadership team part time, owns AI outcomes across functions, and transfers ownership to an internal leader before leaving. It gives a company executive-level AI leadership without the cost, dilution, and 90 to 180 day search of a full-time hire.
When should a company hire a fractional Chief AI Officer instead of a full-time one?
Hire fractional when AI spend is rising, pilots are multiplying, and the board wants ROI within two to four quarters, but the scope is still forming and a full-time executive feels premature. The fractional path delivers the leadership now and builds the internal capability to take it over later.
Why do most AI initiatives fail to produce measurable productivity?
The failure is not at the model level. The models work. The failure happens in the gap between leadership intent and daily workflow. Strategy decks describe what AI will do. Implementation handles how AI will do it. Neither addresses whether people will actually work differently. That gap is the operating layer.
How do you measure AI ROI?
AI ROI measurement requires three observable inputs: adoption, proficiency, and workflow yield. Adoption measures whether people are using the tools at all. Proficiency measures whether they are using them at a level that produces output quality above the baseline. Workflow yield measures whether the workflows where AI is embedded are producing measurable cycle time reduction or unit cost reduction.
What is See, Move, Embed, Hold?
See, Move, Embed, Hold is the four-part operating model Agentic Consulting installs in every engagement. See makes AI activity visible. Move embeds AI into the two or three workflows that change unit economics. Embed installs governance and security a board will accept. Hold transfers ownership to an internal executive.
What size companies do you work with?
We work with companies between 20 and 500 employees, post product-market fit, that are either funded or profitable enough to invest in operating capacity beyond technology spend. The engagement model is designed for founder-led companies where the CEO is currently the de facto owner of AI transformation.
How long does an engagement take?
Every engagement is structured on a quarterly cadence. The illustrative 90-day arc runs as follows: visibility infrastructure live within the first 30 days, two priority workflows in pilot with defined reliability thresholds by day 60, governance and internal ownership in place by day 90 with a roll-forward plan agreed.
Do you offer cleared AI delivery for sensitive data?
Yes. The principal formerly held a Top Secret clearance with SCI access and a CI polygraph, so engagements that require cleared delivery can be staffed accordingly. We design on-premises and air-gapped AI deployments that keep sensitive data inside the boundary. See the Secure Data page.
Do you work with companies outside Washington DC?
Yes. Client engagements have included companies in enterprise SaaS, adtech, government affairs, and commercial space. Work is conducted remotely with on-site engagement where the operating situation requires it.