The seat is also written fractional Chief AI Officer, fractional CAIO, or fractional chief of automation. Some write the automation version as FAO. They describe the same job. The AI part is the decisions. The automation part is what actually runs afterwards.
What the seat owns
A full-time Chief Automation Officer at a large company owns a department. The fractional version owns the same decisions with none of the department. Five things sit with the seat.
- The map
Every repeated task across sales, delivery, finance and support, with the hours each one costs and what it costs when it goes wrong. - The roadmap
One prioritized list of what gets built, in what order, and what each item is worth. Reviewed with the owner every month. - Tool and model selection
Which model, which platform, which vendor, and which company data any of them may touch. Decided once so the team stops evaluating. - Delivery
Either directing the internal team and outside vendors, or building the systems directly. This is the line that separates one practitioner from another. - The return
Hours removed, errors removed, and the headcount the company did not have to hire. Reported on one page every month.
Who hires a fractional Chief Automation Officer
The buyer is almost always the founder of a service business between $1M and $50M in revenue. Agencies, trades, professional services, field service and logistics: companies that sell people's time.
Below $1M
- Not enough repeated work to pay for the seat.
- A one-off audit is the better start.
$1M to $50M
- Manual work is a real cost line.
- A $400,000 executive is out of reach.
- This gap is the whole market for the fractional seat.
Above $50M
- The company usually hires the role full time.
The trigger is usually one of three moments.
- Headcount grew faster than revenue.
- A tool bought last year quietly stopped working, and nobody noticed.
- The owner realises which parts of the business still run on them personally.
What it costs
Retainers run roughly $5,000 to $30,000 a month in 2026. The spread is about ownership. The low end buys advice and review, and the high end buys advice plus the building. Full detail is on the pricing page.
Audit
$4,500, two weeks
- A written map of where the hours go.
- A ranked roadmap.
Advisor
$6,500 a month
- The decisions.
- Your team or vendors build.
Owner
$12,500 a month
- The decisions plus the building.
- My engineers and I execute the roadmap.
The reference point that matters is a full-time hire. A Chief AI Officer or Chief Automation Officer on payroll costs $400,000 or more once salary, equity and benefits are counted, and they still have to hire engineers to build anything. The full seat at $12,500 a month is $150,000 a year with the engineering included.
How it differs from an agency
An agency is paid to build. The fractional seat is paid to decide what should be built at all.
Agency
- Builds a defined scope, usually written by the client before work starts.
- Delivers it and leaves.
- Works when the company already knows what it needs.
- Often leaves behind workflows nobody owns.
Fractional seat
- Decides what should be built at all.
- Sits inside the company and sees the work directly.
- Is still there in month nine, when the first build needs changing.
The two are not exclusive. A fractional officer often directs an agency. On my Owner package my own delivery team builds under my direction, so you get the seat and the build capacity in one contract.
How it differs from a Chief AI Officer
The titles overlap almost completely, and the market is settling on the AI version. I use Chief AI Officer as the public title because that is the term buyers search for, and the automation title to describe the half of the work that most people in the seat skip. The honest verdict is that most people selling either title deliver strategy, governance and a deck, and a seat that never ships anything is expensive advice. The two titles are compared row by row on the AI officer versus automation officer page.
What the first 90 days look like
- Days 1 to 14, audit
Sit with the team and watch how the work actually happens. Inventory every tool the company pays for. Produce a written map of where the hours go. - Days 15 to 30, roadmap
A ranked list of automations with the estimated saving on each. Agree the first three. Cancel the subscriptions that are not earning. - Days 31 to 90, first three live
Three automations running in production with the team trained on them, and the first monthly report showing what changed.
Ninety days is the shortest honest window. The audit takes two weeks because watching the work is the only way to find what a process map leaves out.
How to tell a good one from a bad one
Ask what they built themselves in the last six months, how they measure return, how many clients they carry, whether they resell any tool they recommend, and what happens to the systems if the engagement ends. The seven questions, the red flags and what to pay are on the hiring guide.