For mid-market operators and PE portfolio companies

5 spots available this month

Fractional Chief AI Officer for companies that are not ready for a full-time AI leader

A fractional chief AI officer is a part-time executive who sets AI priorities, governance, and vendor choices for a company that does not need a full-time AI leader yet. The role decides which workflows to automate first, what data controls are required, and how results get measured before spending scales.

What does a fractional chief AI officer do?

The seat owns five calls. Priorities. Governance. Data controls. Vendor and model choices. Measurement, before spending scales.

AI priorities

Which workflow is first, which one waits, and which request is refused. The order is an enterprise AI strategy: one problem, then the data and controls, then a result someone can name.

Governance and data controls

What an agent may read, what may leave the company, and which exception stays with a person. One sentence a manager can repeat. A policy nobody has used is still a draft.

Vendors, models, measurement

Which model and which vendor are allowed for the workflow, and which number has to move before the next purchase. The production shape of that workflow is an agentic workflow: a named owner, a system of record, and a human gate.

What is the difference between a fractional CAIO and a fractional CTO?

Same shape of hire. Part-time executive, one company, decisions the sitting team cannot close. Different surface.

Fractional chief AI officer

AI priorities and the sequence of workflows

Governance, data controls, and the human gate

Vendor and model choices for those workflows

The number that has to move before spend scales

Fractional CTO

Architecture and the platform under the product

Build, buy, and sunset calls across the stack

Engineering hiring and technical reference calls

Board-ready technology, with AI as one item on it

Hire the fractional CTO when technology is broader than AI. Hire the fractional chief AI officer when a technology lead is already in the building and the open questions are models, data controls, and which workflow is allowed to run.

When does a business need a fractional chief AI officer?

The signal is an owner gap, not a headcount target. Mid-market companies and PE portfolio companies hit it when AI is already in the business and nobody can pause it.

Hire the seat when

AI decisions have no owner

Vendors are pitching, teams are buying tools, and the board question has no name on it.

Pilots never get a number

Work launches and nothing the company already reports moves. The next purchase is a demo.

A full-time AI leader is early

The company needs the judgment every month. It does not need a permanent executive search yet.

Wait, or hire the other seat, when

Leadership has not picked AI

If the priority is not agreed, the seat will write a memo nobody uses.

The platform is the bottleneck

Architecture, hiring, and delivery across the stack belong to a fractional CTO.

Nobody inside can carry the work

The seat sets the calls. A named person on the team still has to run the week after the readout.

What does a fractional CAIO do in the first 90 days?

Three reads, then one workflow on a number. A strategy document with no owner is off the scope.

Days 1 to 30

Map the workflows that already use AI, the data they touch, and the person who can pause a miss. That read is an AI readiness assessment: data, systems, ownership, change capacity, and security. Recommendations wait until the map is honest.

Days 31 to 60

Rank one workflow first. Write the data controls in a sentence a manager can say. Name the vendors and models that are allowed, and the ones that are not. Put a baseline on the number the business already tracks.

Days 61 to 90

Run that one workflow with a named owner. Report whether the number moved. The next 90 days repeat only what this window already showed. A second vendor because the first one launched is outside the scope.

How do you measure a fractional chief AI officer?

Write the baseline before the workflow runs. Use a number the company already reports. After it runs, say whether that number moved and what in the work changed. Name the person who can pause a miss on a Tuesday. If the update is only that something launched, the seat missed the measure.

HIPnation is the file for that standard. It is a membership-medicine group. Inbound patients were getting lost between the phone, the inbox, and the EHR. Funnel work moved patient leads up 28% from February to July 2026. That result is funnel work. This page does not assign it to a fractional chief AI officer engagement.

Two other files show vendor and production calls on this bench. AT&T and DirecTV: a $3.4M React Native engagement, Expo and Expo Router on the web, with at.tv and DirecTV shipped from one codebase. American Idol: a custom CMS with realtime voting, run for three seasons after a vendor site crashed on show night. Those files stay on their own pages. The scope here is priorities, governance, data controls, vendor and model choices, and measurement.

Frequently Asked Questions

Scope for a fractional chief AI officer at a mid-market or PE portfolio company.

A fractional chief AI officer sets AI priorities, governance, and vendor choices for a company that does not need a full-time AI leader yet. The seat decides which workflows to automate first, what data controls are required, and how results get measured before spending scales. The sitting engineering team still ships the work.

A fractional CTO owns technology direction for the whole company: architecture, vendors, hiring, and the platform. A fractional chief AI officer owns AI only: priorities, governance, data controls, model and vendor choices, and measurement. Use the CTO seat when the platform is the open question. Use the AI seat when the platform is stable and nobody owns the AI calls.

Hire one when AI decisions are already happening and no executive owns them. Teams are buying tools, a board is asking who is accountable, or pilots never get a number. Wait if leadership has not agreed that AI is a priority, or if the gap is the whole technology stack. That second gap is a fractional CTO.

Days 1 to 30 are a read: which workflows already use AI, what data they touch, and who can pause a miss. Days 31 to 60 rank what goes first, write the data controls, and name the vendors and models that are allowed. Days 61 to 90 put one workflow on a number the business already tracks and report whether it moved.

Measure the number the business already reports, before and after one workflow, with a named owner who can pause a miss. Data controls should fit in one sentence. The next vendor or model purchase should be written down before it is bought. A launch announcement is activity. The measured number is the result.