arosplatforms™AI consultancy
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The function

We are your AI Center of Excellence

We sit as the CoE. We run intake, set the standards, force reuse, kill what should die, and enable the people doing the work. We stay. This is the operating unit itself, not a consulting sprint to “stand one up.”

the unit
not a standup deck
intake
one door for the work
we stay
the CoE continues
kill-criteria
reuse or it dies
The overview

The unit, not a standup.

An AI Center of Excellence is an operating unit. It exists because work is already arriving from every direction — copilots, vendors, shadow prompts, a model someone stood up in a weekend — and nobody owns the door. The CoE is the door. It is intake, standards, reuse, kill-criteria, and enablement. It is not an officer’s title. The Chief AI Officer is the officer. The CoE is the unit that officer would run, or that runs when the officer does not exist yet. Big firms write articles about establishing one. IBM will tell you to stand a CoE up. Deloitte will tell you the same. They sell the establishment. We staff the unit, and we stay in it.

Most companies searching for an AI CoE, a fractional CoE, or a “center of excellence as a service” already know they need the function. They also know they will not hire a Head of AI at public 2026 mid-market packages, then staff five to twelve specialists underneath. The work still has to be done. Requests still have to be triaged. Patterns still have to be reused. Bad work still has to die. Leaving those calls to Slack and enthusiasm is more expensive than the unit.

arosplatforms is a Toronto-based firm that serves companies worldwide. When we take this engagement, we are your AI Center of Excellence. We sit in the operating meetings. We have decision rights on what enters, what reuses, and what dies. We are accountable for the unit. We do not suggest a target operating model and leave. We do not audit you, find gaps, and sell you the build. We are the CoE, and we stay.

See it in action

What the CoE looks like in motion.

Scroll through it, the screens move with you.

01 Intake

One door. Everything else is shadow.

What came in this week, what we took, what we sent back, what we refused. The CoE holds the queue so leadership is not managing a pile of side projects.

arCoE · Intake Live
In2

Claims intake

Vendor X eval

Reuse1

Support pattern

Refuse1

Shadow chatbot

02 Standards

A short list someone will defend

What “good” means here: eval, data, human review, logging. Written by the unit that will still be here when someone tries to skip it.

arCoE · Standard Live

Eval on real cases before anything is live.

pilot with no owner, no kill date

Reuse the support pattern. Do not rebuild it.[src]

Owned by the CoE, not a binder on a share drive
03 The week

A rhythm the unit can run on

Intake, reuse decisions, kills, and enablement in one loop. The CoE is in it every week, not at the quarterly readout.

arCoE · Cadence Live
Intake: four in, one refusedMon
Kill: Q1 chatbot, no ownerWed
Enablement on the claims patternFri
What's included

Everything in the engagement.

Intake and triage

One door for AI work. What is a request, what is a vendor, what is shadow, what is a no. The CoE holds the queue so the company stops inventing side doors.

Standards that get used

A short, enforced list: eval, data, review, logging, what “done” means. A standard nobody defends is a PDF. We defend it.

Reuse before rebuild

The second team does not get a second stack. The CoE names the pattern, points at it, and refuses the duplicate.

Kill-criteria

Every piece of work that is not yet a decided capability has a date and a test. Killing it is the unit doing its job.

Enablement on live work

People learn on the work that is actually in the queue, not in a classroom that expires. Deeper workshops live on [training and enablement](/services/training-enablement).

Decision rights

A written mandate: what the CoE can accept, reuse, refuse, or kill. Without this, “Center of Excellence” is a Slack channel with a nicer name.

How we engage

A clear path from kickoff to value.

01

Take the unit

We agree the mandate of the CoE: what comes in, what we can refuse, what we can kill, and who we sit with. You get an operating unit in the building, not a standup workshop and a waiting period.

02

First 30 days, intake is live

Requests have a door. Shadow work has a list. Standards have a first version someone will defend. We start making the calls that were sitting with a working group that never met.

03

First 90 days, the unit is running

Intake, reuse, and kill-criteria have a weekly rhythm. Enablement is happening on live work, not a curriculum. Leadership can see what entered, what reused, and what died.

04

First 180 days, the CoE holds

The unit is not a project that ends. We stay. The door, the standards, and the refusals compound because someone is still there to hold them.

The outcomes

Results you can measure.

one door

Intake

requests, vendors, and shadow work have an owner

reused

Patterns

the second team does not rebuild the first

held

The unit

the CoE is still there after the first quarter

Who it's for

Built around your starting point.

COO, CIO, operating partners

The company with AI everywhere and no door

Work is already arriving. Vendors are already in. Nobody owns intake, reuse, or the no. You need the unit this month, not a twelve-month hire plan.

Mid-market and growth-stage

The company that will not staff a CoE this year

A Head of AI plus a bench is a real payroll event. Public 2026 guides put that lead in the same band as a senior AI executive. A staffed CoE is how you get the unit without pretending you can fill it.

If you want a SOW

Not for teams shopping a build

If the real ask is “stand up a CoE, find the gaps, and build those gaps,” this is the wrong page. We are the unit. We do not sell the implementation from this seat.

After-hours intake table, a closed folder on the white surface
Intake is a meeting with a decision, not a form that nobody reads.
The unit

What an AI Center of Excellence actually owns

The title exists because the work outgrew every other room. A CAIO can own the agenda and still not be the door every request walks through. A platform team can own the rails and still not refuse a duplicate. A transformation office can fund a portfolio and still not set the standard for how a thing is allowed to be built. An AI Center of Excellence exists so those operating questions have one unit. That is a function, not a project. Projects end. Units remain.

Intake, as a standing door

Intake in this seat is not a form on a share drive. It is the live answer to what counts as AI work, who may start it, and what happens when they start it anyway. When a business unit wants a copilot, a vendor offers a platform, or a team has already shipped a prompt into production, the CoE decides whether that work enters, reuses something we already have, or is refused. We hold that with the operating owner: a short queue with reasons, a pattern to reuse, and a date we will know if it is working. If it is not, the unit kills it.

Standards, as something someone will defend

Most companies already have AI standards. They will not call them that. A page in Confluence, a security review that happens if someone remembers, an eval that was run once. The CoE treats standards as a short list the unit will still be in the room to enforce: what “good” means, what must be evaluated on real cases, what must be logged, when a human has to see it, what is forbidden. A project produces a binder. A unit runs a standard — exceptions, reviews, and the uncomfortable no when someone wants to skip it.

Reuse

The second team always wants to rebuild. The vendor always wants to be the platform. The CoE exists so the company has a memory: we already have a support pattern, a retrieval pattern, an intake pattern. Reuse is a decision, not a suggestion. Pointing at the pattern and refusing the duplicate is how spend stops multiplying. If nobody can name what we already have, you do not have a CoE. You have a collection of first times.

Kill-criteria, held by the unit

A pilot without a kill date is a permanent employee with worse benefits. The CoE puts criteria on anything that is not yet a decided capability: what “working” means, who judges, what it may cost, when it dies. Killing work is a success when the criteria said it should die. The unit takes the heat so the requesting team does not have to. If no one has ever killed an AI pilot, you do not have a CoE. You have a museum of hopes. Deeper AI governance and compliance work exists as its own service. On this page, kill-criteria are simply how the unit stays honest.

Enablement, on the work that is actually happening

Enablement here is not a curriculum we were paid to write. It is the CoE sitting with the people doing the work: this is the pattern, this is the standard, this is why last week’s request was refused. People get fluent because the unit is still there next month. If you need a workshop series, that is training and enablement. If you need the people who run the door to also make the rest of the company better at using it, that is this seat.

The officer is a different chair

A Chief AI Officer owns the agenda with the CEO and the board: spend at the top, vendors at the top, the story the board hears. The CoE owns the operating door underneath that story. You can have a CAIO and still need a CoE. You can have a CoE and not yet have a CAIO. We sell both, on different pages, as different seats. Do not buy this page if what you wanted was the officer. Do not buy the officer if what you wanted was the queue.

The search

Why companies look for a CoE and never staff it

The search terms are honest: AI center of excellence, fractional CoE, CoE as a service, stand up an AI CoE. People type them because they already flinched at the full-time bench. The flinch is rational. The need does not go away because the hire is hard. Big-firm articles make the flinch worse. They describe a unit you should have, then sell you a program to design it.

The full-time CoE is a real bench

A CoE that can own intake and refuse work is not a rebadged innovation lead plus a Slack channel. Public 2026 US compensation guides put a Head of AI / VP AI base roughly between $300,000 and $525,000 (Christian & Timbers). Director-level AI engineering and platform roles often sit $275,000 to $475,000. That is the lead, before enablement, evaluation, and the people who actually sit in intake. Those are not arosplatforms prices. They are the public market for the bench you are comparing us to — before search fees and a six-to-twelve-month hunt.

The company is not ready for that bench — and still needs the door

This is the usual case. AI is in the building. Requests are already arriving. There is not a loaded line for a Head of AI plus specialists, and there is not an applied-AI organization large enough to need a twelve-person CoE. Published 2026 fractional executive retainers commonly run $5,000 to $30,000 a month — about $60,000 to $360,000 a year — depending on days in the seat (Olofsson and other open market guides). That is not a workshop. It is a slice of a unit’s week, sized to the company you actually are.

“Establish a CoE” is the wrong instrument

IBM will tell you to establish a Center of Excellence. Deloitte will tell you the same. Those pieces are real, and they are advice: stand the unit up, write the charter, pick a model, train the people. A standup assumes you have the people, the time, and a function that can inhabit the charter after the team leaves. Most companies searching “AI CoE as a service” need the door open on Monday, a name on the queue, and a no on a duplicate about to be built. We sell the narrower thing: a unit that will own intake and stay. Not a target operating model. The unit.

Leaving the unit empty has a cost you are already paying

No CoE does not mean no AI. It means AI without a door: five versions of the same copilot, vendors every function can buy, standards nobody enforces, enablement that happened once. We will not invent a dollar figure for that drift. The comparison is not “hire us or save the money.” It is “pay for the unit, or keep paying for the absence of one.” The empty CoE is the number companies pretend is zero.

After-hours standards lab, warm lamps over benches in a teal room
Week to week the unit is this: the work after the meeting, still ours.
The offer

What “we are your CoE” means, week to week

The sentence is literal. We are your AI Center of Excellence. We sit in the unit. We do not stand next to it and coach it. If a week goes by and we were not in the rooms where intake, reuse, and kills got decided, we were not doing the job — no matter how many playbooks we produced.

We are in the operating meetings

The job happens on your calendar. We join the intake review, the operating forum where AI work is accepted or sent back, and the sessions where a pattern is about to be rebuilt or a pilot is about to become a zombie. We do not invent a steering committee so we have somewhere to present. We arrive having read the queue, the standards, and last week’s kills, and we use the meeting to decide.

We have decision rights

A CoE without rights is consulting with a better acronym. Before we start, we write the mandate: what the unit can accept, reuse, refuse, or kill; what goes to the CAIO, the CIO, or the CEO; spend and vendor thresholds that belong to the unit versus the officer. You cannot hold a CoE responsible for a queue it was not allowed to touch. If you want a smart guest, do not buy this. If you want the unit, the unit has to be able to say no, and have it stick.

We are accountable for the unit

If the same pattern was rebuilt, a request sat for six weeks with no owner, a standard was skipped in public, or a pilot that should have died is still burning cloud, that is our problem. Units 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 pass through the intake queue. At least one reuse or refuse. At least one kill-criteria conversation on something that is not yet a capability. Time with the people doing the work — that is the enablement. A short written trail. And the unscheduled thing, which is why you wanted a unit instead of a playbook. Some companies need a day a week. Some need more around a board cycle or a wave of vendor renewals. We set that in the open.

The contrast

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 CoE-shaped badge for the length of a statement of work. Big firms will also sell you the establishment of a CoE. That is still not the unit.

A consultant writes the charter, then leaves

A consultant is paid to improve your thinking and get out of the way. You have a target operating model. You are still the person who has to sit in intake on Monday. A charter does not refuse the duplicate, kill the pilot, or sit with the team that is about to skip the standard. If your last “CoE engagement” produced slides and a vacuum, you bought the establishment. You did not buy the unit.

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 CoE writes the brief — or refuses to, because the work should reuse something you already have. If the first serious question you are asked is “what should we build?”, you are talking to a builder. We will ask what is already in the queue, 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 pattern should be reused instead of rebuilt, 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 a unit

“Head of AI CoE” often means “we would like an employee, then a team.” 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 unit as the unit. Continuity does not depend on one person’s next offer. If the company later grows into a full-time bench, saying so is part of the job.

Empty communal loft table at night, chairs waiting along both sides
Thirty, ninety, one hundred and eighty days: the door is still open, and we are still in it.
The first half-year

30 / 90 / 180 days in the unit

Companies ask for a 30 / 90 / 180 because they want to know what changes. Here is what changes when you bought the unit, not a diagnostic. There is no phase called “discover the gaps,” and no phase called “build the gaps.” There is a door, and the door gets more real.

The first 30 days: intake is already the CoE

Week one is the mandate: decision rights, the queue, what we can refuse, the name on the standard. We meet the operating owner on their cadence. We take the keys that exist — requests, vendors, shadow work, the Confluence page nobody uses — the way a finance team takes a close, not as researchers gathering quotes. By month’s end the door is open, leadership can see the queue, and we have made at least one real refusal or kill so the unit 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 unit is being run

There is a standing intake. The queue is shorter, because some things were refused and some things died. There is a reuse list someone will defend. Standards are a habit: a review, an exception, something stupid stopped before it is public. Enablement is happening on the work in the queue, not in a classroom. At 90 days we can tell leadership what entered, what reused, what we killed, and what we will decide next. If we cannot, we have been busy, not in the unit.

The first 180 days: the unit holds

The CoE should now be boring in the way a good finance close is boring: cadence, rights, a queue, fewer surprises. New ideas go through the door. Duplicates get pointed at the pattern. If the company has grown into a full-time bench, 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.

The duties

Intake, standards, reuse, kill-criteria, enablement

These are the parts of the job people try to peel off and turn into projects. They are not projects. They are how the unit does the work. They are also how this page stays distinct from the officer, from strategy, and from training.

Intake as a regime, not a form

The CoE can tell you what has asked to be AI work this month: the request, the owner, the pattern it should reuse, the reason it was refused if it was. Also the harder pieces: stopping work that started without coming through the door, or taking something to the CAIO or the board because the downside is existential. Implementing a ticketing system is engineering. Holding the door is the unit. If a better intake tool is needed, the unit commissions it — from whoever should do it — and lives with the queue until then.

Standards as a standing judgment

We run standards as a unit: the list is short, the exceptions are written, the skip is a decision we will still be here to own. A company with a CoE should be harder to start AI work in, not easier. That is the point. Fit, eval, data, review — not taste. Policy-writing at regulator depth is AI governance and compliance. On this page, the standard is what the unit will actually enforce this week.

Reuse as the default, rebuild as the exception

The CoE names the patterns the company already has and makes rebuilding them an explicit decision, not a default. The second support copilot does not get a second stack because the demo was exciting. If we do not have a pattern yet, the unit says so, and the first one is built to be reused. Build, when it happens, is another page. The decision that it should happen is this one.

Kill-criteria and enablement, held together

Killing work and teaching people are the same job. The unit that refuses a request has to be the unit that shows the requester the pattern they should have used. Otherwise enablement is a poster and intake is a wall. We stay for both parts. That is the product. If you wanted only the poster, buy a workshop. If you wanted only the wall, you do not want a CoE.

Fit

Who this is for, and who should leave the page

We would rather lose a conversation than take a unit 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 COO, CIO, or operating partner who wants an AI operating unit and will give that unit rights on intake, reuse, and kills. A company that already has AI in the building — licenses, pilots, vendors, shadow work — and no door that owns the whole of it. A mid-market or growth-stage company that knows the public Head of AI band is not this year’s hire, and is done pretending a working group is the same thing. A company that tried “establish a CoE” with a large firm and still has the same unowned queue. A company that will let us sit with the people doing the work, not just the innovation team.

It is also for leadership that wants the truth more than the theater. If you want a unit that will refuse work, kill pilots, and tell the operating owner the unvarnished version, we can do that. If you want a Center of Excellence 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 CoE language to start the funnel. Anyone who wants an audit, a gap list, and a proposal to close the gaps. Anyone who wants a standup workshop or a target operating model they can file. 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 CoE and wants extra hands. That is staff augmentation. We are not extra hands. We are the unit. If the unit is filled, we should not be in it. And it is not the Chief AI Officer seat. If you need the officer, that page already exists.

The money

Cost of the unit, cost of no unit

We will not invent an arosplatforms price, package, or retainer on this page. Pricing the unit is a conversation, because the time in the unit 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. A CoE is a unit, so the honest comparison is the lead plus the people who would sit in intake — not a single title. When we talk, we will locate you on that map and talk about days in the unit, not a SKU. If you need a full-time CoE and can hire one, we will say hire one. If you need the door 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 unit is not theoretical

You are already paying it: duplicate copilots, unused licenses, standards nobody enforces, enablement that happened once, 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 a door that can choose. Without the unit, 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 CoE,” or a bundle of development hours. Those patterns turn the unit into a salesperson. The CoE cannot sell our other work and still be your CoE. If engineering happens later, it is another page — custom AI development, RAG and knowledge systems, AI infrastructure and MLOps — commissioned by the unit, not smuggled in as the unit.

What you are comparingPublic 2026 rangeWhat it is
Head of AI / VP AI, US base$300k – $525kChristian & Timbers 2026 corporate AI study
Director, AI engineering / platform$275k – $475kSame study, director band, before the bench
Director, responsible AI / governance$250k – $500kSame study — a specialist, not the whole CoE
Fractional executive retainers$5k – $30k / monthCommon published monthly range (Olofsson and peers)
Fractional, annualized$60k – $360k / yearSame retainers, expressed per year

Ranges compiled from public 2026 compensation and fractional-retainer writeups (including Christian & Timbers, Olofsson, and other open market guides). They are not arosplatforms fees, quotes, or packages. We do not sell a menu from this page. Big-firm “establish a CoE” programs are sold as projects; they are not a published substitute for the unit.

The close

Book the conversation about the unit

If you need an AI Center of Excellence and you are not going to staff one this year, the honest move is to put a unit in the building anyway. arosplatforms will be that CoE. We will run intake. We will hold the standards. We will force reuse. We will kill what should die. We will enable the people doing the work. We will stay.

If you need a plan, a workshop, 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 officer, that is Chief AI Officer. If you need the unit, book a conversation about putting us in the CoE seat. That is the only ask on this page.

Tools we work with

JiraLinearAzure DevOpsServiceNowConfluenceNotionSlackMicrosoft TeamsMicrosoft 365Your intake form
Questions

Frequently asked.

An AI Center of Excellence is the operating unit that owns intake, standards, reuse, kill-criteria, and enablement for AI work. It is not a committee and it is not a four-week standup. At arosplatforms the engagement is the unit. We sit in it, we have decision rights, and we stay. The Chief AI Officer is a different seat: the officer. This page is the unit that officer would run.

Put Aros in the CoE seat

Book a conversation about putting arosplatforms in as your AI Center of Excellence. We run intake, standards, reuse, and kill-criteria, and we stay.