The office
We act as your Chief AI Officer
We sit in the seat. We own the AI agenda with your CEO and board. We make the calls. We stay. This is a fractional, outsourced, part-time CAIO — the office itself, not a consulting sprint.
- in the seat
- not on the sideline
- decision rights
- we make the calls
- we stay
- the office continues
- board-ready
- the conversation has an owner
The seat, not a project.
A Chief AI Officer is an officer. The title exists because AI now spends real money, touches real customers, creates real regulatory exposure, and shows up in the board pack. Someone has to own that. Someone has to sit with the CEO, take the questions the board will ask, and live with the decisions after the meeting ends. That is the job. It is not a workstream, and it is not a diagnostic that turns into a statement of work.
Most companies searching for a fractional CAIO, an outsourced CAIO, or a part-time Chief AI Officer already know they need the seat. They also know they will not hire a $300,000 to $600,000 full-time executive this year. The work still has to be done. Pilots still have to be killed or funded. Vendors still have to be chosen. The board still has to be told the truth. Leaving those calls unowned is more expensive than the seat.
arosplatforms is a Toronto-based firm that serves companies worldwide. When we take this engagement, we act as your Chief AI Officer. We are in the meetings. We have decision rights. We are accountable for the AI function. We do not suggest what to do and leave. We do not audit you, find gaps, and sell you the build. We sit in the seat, and we stay.
What the office looks like in motion.
Scroll through it, the screens move with you.
Someone owns the portfolio this week
What is live, what is paused, what dies on Friday. The CAIO holds the list and the reasons, so leadership is not managing a pile of pilots.
Support copilot
Contract intake
Vendor B renewal
Q1 chatbot · no owner
The board conversation has a name on it
Spend, risk, and what changed since last quarter, written by the person who will take the questions in the room.
AI spend this quarter, against the mandate.
three pilots, no kill date
Pilot A killed. Vendor C on watch.[src]
A weekly rhythm the function can run on
Decisions, spend, vendors, and exceptions in one operating loop. The officer is in it every week, not at the readout.
Support copilot
Contract intake
Vendor B renewal
Q1 chatbot · no owner
Everything in the engagement.
The AI agenda
What the company will do with AI this quarter and this year, owned by one seat, debated with the CEO, not crowdsourced across Slack.
Portfolio and spend
Every initiative, every invoice, every “we should try this.” The CAIO holds the portfolio and the budget so spend has a decision-maker.
Governance and risk
Policy, review rights, and the exceptions that actually matter. Governance as an officer’s duty, not a binder produced by a visiting team.
Vendors and partners
Who we keep, who we cut, who we will not let in the door. Vendor selection and commercial judgment sit with the seat.
The board conversation
What the board hears, in language they can use, from the person who will still be here next quarter to answer the follow-up.
Decision rights
A written mandate: what we can approve, what we escalate, and what dies without a meeting. Without this, the title is decoration.
A clear path from kickoff to value.
Take the seat
We agree the mandate, the decision rights, and who we sit with. You get an officer in the room, not a kickoff deck and a waiting period.
First 30 days, in the room
We join the meetings that already run the company. We learn the portfolio by owning it, and we start making the calls that were sitting with nobody.
First 90 days, running the function
The AI agenda has an owner. Spend, vendors, and pilots have a yes, a no, or a kill date. The board conversation has a person who will stand behind it.
First 180 days, the function holds
The seat is not a project that ends. We stay. The cadence, the governance, and the decisions compound because someone is still there to hold them.
Results you can measure.
The AI agenda
one seat, one story for the CEO and board
Spend and pilots
yes, no, or a kill date — not another workshop
The function
the officer is still there after the first quarter
Built around your starting point.
CEO, board, operating partners
The CEO who needs the seat now
AI is already in the business and already on the agenda. You need an officer in the room this month, not a search that takes three quarters.
Mid-market and growth-stage
The company that will not hire $400k this year
The full-time seat is real, and so is the budget. A fractional CAIO is how you get the office without pretending you can fill a $300k–$600k hire.
If you want a SOW
Not for teams shopping a build
If the real ask is “audit us, find the gaps, and build those gaps,” this is the wrong page. We act as the officer. We do not sell the implementation from this seat.
What a Chief AI Officer actually owns
The title exists because the work outgrew every other chair. A CTO can run technology and still not own the AI agenda. A CDO can run data and still not own which models may touch a customer. A transformation office can run a program and still not be the person the board calls when a vendor fails. A Chief AI Officer exists so those questions have one name. That is a role, not a project. Projects end. Officers remain.
Strategy, as an ongoing duty
Strategy in this seat is not a four-week artifact. It is the live answer to where the company will use AI, where it will not, and what that means for capital, people, and risk this quarter. When a business unit wants a copilot, a vendor offers a platform, or a competitor makes noise, the officer decides whether the agenda moves. We hold that with the CEO: a short list with reasons, business owners, and a date we will know if it is working. If it is not, the officer kills it.
The portfolio
Most companies already have an AI portfolio. They will not call it that. A chatbot someone stood up, a copilot license, a pilot with no kill date, a model nobody monitors, three vendors who each believe they are the platform. The CAIO treats that as a portfolio: live, shadow, spend without an owner, political projects that should have died. A new idea starts because the officer put it on the list and took something else off — not because the demo was exciting.
Spend
AI spend hides in cloud, seats, services, “innovation,” and vendor bundles. The CAIO owns the number — not because finance cannot add, because someone has to decide what the number is for. Owning spend is approval rights and refusal rights. When the CEO asks what we are spending on AI, the answer comes from the officer, without a week of archaeology.
Governance, as the officer’s job
In this seat, governance is how the officer sleeps: what is allowed, who can approve it, what is reviewed, logged, or forbidden, and what happens when someone does it anyway. A project produces a policy. An officer runs a regime — exceptions, reviews, and the uncomfortable no. Deeper AI governance and compliance work exists as its own service. On this page, governance is simply part of holding the office.
Vendors
Someone has to choose. Someone has to say we already have this. Someone has to walk into a renewal and kill it. Vendor selection here is commercial and architectural, not bake-off theater: who holds the data, who you cannot leave, what the contract says, whether the thing works on your work. A portfolio with twelve tools and no officer is not innovation. It is unmanaged spend.
The board conversation
Boards are asking what we are doing, what it costs, what could go wrong, and who is accountable. Those are officer questions. The CAIO owns the pack, the numbers, the risks, and the follow-ups, in language a board can use. If a pilot should die, the pack says so. If we do not know something, we say that, with a date for knowing. The board has a person, not a program.
Why companies look for this seat and never hire it
The search terms are honest: fractional CAIO, outsourced CAIO, CAIO for hire, part-time Chief AI Officer. People type them because they already flinched at the full-time search. The flinch is rational. The need does not go away because the hire is hard.
The full-time seat is a real executive
A CAIO who can sit with a CEO and a board is not a rebadged data-science lead. Public 2026 US compensation guides put full-time base roughly between $250,000 and $650,000. Mid-market total packages often land between $400,000 and $750,000. At large enterprises and frontier-AI companies, published total compensation regularly crosses $1,000,000 and, in some guides, $2,000,000 and up. Those are not arosplatforms prices. They are the public market for the hire you are comparing us to — before search fees, equity, and a six-to-twelve-month hunt.
The company is not ready for a $400,000 officer — and still needs one
This is the usual case. AI is in the building. The board has asked. There is not a $400,000 to $600,000 fully loaded line, and there is not an applied-AI organization large enough to need a full-time executive manager. Published 2026 fractional retainers commonly run $5,000 to $30,000 a month — about $60,000 to $360,000 a year — depending on days in the seat. Some guides quote $4,000 to $20,000 a month for eight to thirty-two hours. That is not a workshop. It is a slice of an officer’s week, sized to the company you actually are.
The search itself is the wrong instrument
A retained search assumes you can describe the seat, wait, and onboard someone into a function that does not yet exist. Most companies searching “CAIO for hire” need someone in Monday’s meeting, a name on the board pack, and a no on a vendor about to be signed. Companies also write a requisition that is three jobs: strategist, builder, politician. We sell the narrower thing: an officer who will own the agenda and stay. Not a candidate. The seat.
Leaving the seat empty has a cost you are already paying
No officer does not mean no AI. It means AI without an owner: pilots nobody can kill, vendors every function can buy, spend that surprises finance in month eleven, a board that gets a hopeful paragraph. We will not invent a dollar figure for that drift. The comparison is not “hire us or save the money.” It is “pay for an officer, or keep paying for the absence of one.” The empty seat is the number companies pretend is zero.
What “we act as your CAIO” means, week to week
The sentence is literal. We act as your Chief AI Officer. We sit in the seat. We do not stand next to it. If a week goes by and we were not in the rooms where AI got decided, we were not doing the job — no matter how many documents we produced.
We are in the meetings
The job happens on your calendar. We join the CEO cadence, the operating review, the risk conversation when AI is on it, and the sessions where a vendor or a pilot is about to become a commitment. We do not invent a steering committee so we have somewhere to present. We arrive having read the spend, the contracts, and the last board pack, and we use the meeting to decide.
We have decision rights
A title without rights is consulting with better stationery. Before we start, we write the mandate: what the CAIO can approve or stop, what goes to the CEO or the board, spend and vendor thresholds, kill rights on pilots. You cannot hold someone responsible for a portfolio they were not allowed to touch. If you want a smart guest, do not buy this. If you want an officer, the officer has to be able to say no, and have it stick.
We are accountable for the AI function
If spend drifted, a vendor is still there for political reasons, the board was surprised, or a pilot became a zombie, that is our problem. Officers do not get to say “we recommended.” They decide, and they live with it. Accountability is also the weekly record — decisions, owners, dates — so the same people who made the call are still there to own it.
What a week actually contains
A working session with the CEO or the P&L owner. A pass through the portfolio. At least one vendor, budget, or risk item that needs a decision, not a comment. Time with the people doing the work. A short written trail. And the unscheduled thing, which is why you wanted an officer instead of a plan. Some companies need a day a week. Some need more around a board cycle or a renewal. We set that in the open.
Not a consultant. Not an agency. Not an audit shop.
If you have bought AI help before, you have met the other three. They are legitimate businesses. They are not this job. Each will happily wear a CAIO-shaped badge for the length of a statement of work.
A consultant writes, then leaves
A consultant is paid to improve your thinking and get out of the way. You are smarter. You are still the person who has to do the job on Monday. A deck does not sit with the CEO next month, take the vendor call, or kill the pilot. If your last “CAIO engagement” produced slides and a vacuum, you bought the wrong thing.
An agency builds what you brief
An agency is paid to make a thing. arosplatforms does that work on other pages. This page is not a door into it. An agency needs a brief. A CAIO writes the brief — or refuses to. If the first serious question you are asked is “what should we build?”, you are talking to a builder. We will ask who decides, and what happens if we say no.
An audit shop finds gaps and sells the fix
Assess the client. Publish the gaps. Convert the gaps into a development statement of work. We will not do that from this seat. Deciding the company is not ready, or that a vendor should die, is a decision, not a lead. We will not run a gap analysis whose commercial purpose is to feed our own build pipeline.
A job posting is a hire, not an office
“CAIO for hire” often means “we would like an employee.” That is a clean need. It is not what we sell. We are not a recruiter, and we are not a contractor hoping to convert. We take the seat as the seat. Continuity does not depend on one person’s next offer. If the company later grows into a full-time hire, saying so is part of the job.
30 / 90 / 180 days in the seat
Companies ask for a 30 / 90 / 180 because they want to know what changes. Here is what changes when you bought the office, not a diagnostic. There is no phase called “discover the gaps,” and no phase called “build the gaps.” There is a person in the chair, and the chair gets more real.
The first 30 days: we are already the officer
Week one is the mandate: decision rights, meetings, spend we can touch, the name on the board pack. We meet the CEO on their cadence. We take the keys that exist — vendors, invoices, pilots, policies — the way a CFO takes a close, not as researchers gathering quotes. By month’s end we are in the rooms, the CEO has a portfolio view, and we have made at least one real decision so the seat is not ceremonial. We will not run an interview tour, publish a maturity score, or produce a backlog for our engineers.
The first 90 days: the function is being run
There is a standing AI agenda with the CEO. The portfolio is shorter, because some things died. There is a spend number someone will defend. Vendors have a status: keep, watch, replace, never again. Pilots have kill criteria and dates. Governance is a habit: reviews, exceptions, something stupid stopped before it is public. At 90 days we can tell the board what the company is doing with AI, what it is not, what it is spending, and what we will decide next. If we cannot, we have been busy, not in the seat.
The first 180 days: the function holds
The office should now be boring in the way a good finance function is boring: cadence, rights, a pack, fewer surprises. New ideas go through the officer. Renewals go through the officer. If the company has grown into a full-time hire, we will say so. If it has not, we stay — that is a success, not a failure to convert. One hundred and eighty days is not the end of a project, and it is not the moment we reveal systems we would like to build.
Governance, risk, vendors, kill-criteria, the roadmap
These are the parts of the job people try to peel off and turn into projects. They are not projects. They are how the officer does the work.
Governance and risk, held by the officer
The CAIO can tell you what the company has allowed AI to do: inventory, high-risk uses, review path, exceptions, a live line to legal and security. Also the harder pieces: stopping a launch, or taking something to the board because the downside is existential. Implementing controls is engineering. Holding the regime is the office. If a control program is needed, the officer commissions it — from whoever should do it — and lives with the risk until then.
Vendor selection as a standing judgment
We run vendor decisions as an officer: the problem, the alternative we already own, the contract, the exit, who is accountable after the salesperson leaves. A company with an officer should be harder to sell to, not easier. Killing a vendor is part of the seat. So is keeping an unfashionable one that works. Fit, cost, risk, and lock-in — not taste.
Kill-criteria for pilots
A pilot without a kill date is a permanent employee with worse benefits. The CAIO puts criteria on anything that is not yet a decided capability: what “working” means, who judges, what it may cost, when it dies. Killing a pilot is a success when the criteria said it should die. The officer takes the heat so the team does not have to. If no one has ever killed an AI pilot, you do not have an AI function. You have a collection of hopes.
Roadmap ownership, not roadmap authorship as a service
The officer owns the roadmap the way a CFO owns the forecast: current, explainable, allowed to change. It is not a seventy-page document we were paid to write. Plenty of firms will author a roadmap. Very few will still be in the chair when the second item becomes inconvenient. We stay for that part. That is the product.
Who this is for, and who should leave the page
We would rather lose a conversation than take a seat we cannot hold. The fit is specific. If you are not in it, the honest next step is a different page, or a different firm.
Who this is for
A CEO, chair, or operating partner who wants an officer in the AI conversation and will give that officer rights. A company that already has AI in the building — licenses, pilots, vendors, a nervous board — and no one who owns the whole of it. A mid-market or growth-stage company that knows the public $300,000 to $600,000 full-time band is not this year’s hire, and is done pretending a working group is the same thing. A company that tried consulting and still has the same unowned decisions. A company that will let us sit with legal, finance, and the operators, not just the innovation team.
It is also for leadership that wants the truth more than the theater. If you want an officer who will kill work, refuse vendors, and tell the board the unvarnished version, we can do that. If you want a mascot for the annual report, we cannot.
Who this is not for
Anyone shopping for a custom-build, an “AI OS,” or a development partner and using CAIO language to start the funnel. Anyone who wants an audit, a gap list, and a proposal to close the gaps. Anyone who wants suggestions they can ignore. Anyone who will not grant decision rights. Anyone looking for a full-time employee, a recruiter, or a contractor to convert. Anyone whose real problem is that they want a demo by Thursday.
It is also not for a company that already has a strong CAIO and wants extra hands. That is staff augmentation. We are not extra hands. We are the seat. If the seat is filled, we should not be in it.
Cost of the seat, cost of no seat
We will not invent an arosplatforms price, package, or retainer on this page. Pricing the seat is a conversation, because the time in the seat is a conversation. What we can put in writing is the public 2026 market, and the cost of pretending you do not need the comparison.
Read the ranges as a market, not a quote
Those numbers move with company size, regulatory load, and whether AI is the product or a function. When we talk, we will locate you on that map and talk about days in the seat, not a SKU. If you need a full-time officer and can hire one, we will say hire one. If you need the office two days a week, we will talk about that. If you wanted a build team, we will send you away from this page.
The cost of no seat is not theoretical
You are already paying it: unused licenses, duplicate tools, pilots that never end, a board that trusts the paragraph less every cycle, legal finding out late, senior people coordinating because the coordinating job does not exist. We will not invent a dollar figure. The companies that get something real out of AI are the ones with someone who can choose. Without the seat, the company chooses by inertia and by whoever booked the last vendor meeting.
What we will not do with money on this page
We will not show three packages, a “starter CAIO,” or a bundle of development hours. Those patterns turn the officer into a salesperson. The officer cannot sell our other work and still be your officer.
| What you are comparing | Public 2026 range | What it is |
|---|---|---|
| Full-time CAIO, US base | $250k – $650k | Cash salary, before bonus and equity |
| Mid-market total compensation | $400k – $750k | Published packages, base plus variable |
| Large-enterprise / frontier total comp | $1M – $2.5M+ | Published upper band in 2026 guides |
| Fractional CAIO retainers | $5k – $30k / month | Common published monthly range |
| Fractional, annualized | $60k – $360k / year | Same retainers, expressed per year |
Ranges compiled from public 2026 CAIO compensation and fractional-retainer writeups (including KORE1, Olofsson, and other open market guides). They are not arosplatforms fees, quotes, or packages. We do not sell a menu from this page.
Book the conversation about the seat
If you need a Chief AI Officer and you are not going to hire one this year, the honest move is to put someone in the chair anyway. arosplatforms will act as that officer. We will sit with your CEO and your board. We will own the agenda. We will make the calls. We will stay.
If you need a plan, an assessment, or a system, say that. Those are other pages, and we will not pretend this one is a doorway to them. If you need the office, book a conversation about putting us in the CAIO seat. That is the only ask on this page.
Tools we work with
Frequently asked.
A fractional Chief AI Officer is a senior AI executive who holds the CAIO seat part-time: agenda, portfolio, spend, governance, vendors, and the board conversation, without a full-time hire. Fractional does not mean advisory. It means the office is real and the time is sized to the company. At arosplatforms the engagement is the seat. We sit with your CEO and board, we have decision rights, and we stay.
Put Aros in the CAIO seat
Book a conversation about putting arosplatforms in the Chief AI Officer seat. We sit with your CEO and board, own the agenda, make the calls, and stay.