What if we don't want ongoing retainer support? Can we just do the build and stop?

Yes. You can do the audit and build phases and stop. But in my experience, about 80% of companies want someone monitoring and adding improvements. Once you have infrastructure in place, you see all the other things that could be automated. The systems need updates. New team members need training. It's not a huge time commitment, but it's important.

How do I know if I should hire full-time or stay fractional?

Stay fractional until your company is mature on the AI infrastructure (usually year 2-3) and you have enough work to keep a full-time person busy. When you start saying 'I want someone working on AI strategy and team development and vendor management,' that's a signal for a full-time hire. Until then, fractional is more efficient.

What if the fractional person leaves? Are we stuck?

No. The systems are documented. The processes are automated. The dashboards are built and live. All of that stays. What you'd need is someone to maintain and improve them. That could be your new fractional head, a full-time hire, or even your existing team if you want to own it. But the foundation doesn't disappear.

Can we do the fractional role ourselves with someone on our team?

Theoretically yes, if you have someone who's both technical and has the business judgment to lead this. In practice, almost nobody has both. Most technical people don't understand business. Most business people can't build systems. This is why the fractional model works, it's a specialist doing what they specialize in.

How much time does this actually require from our team?

During the build phase (weeks 4-15), maybe 3-5 hours per week from various people, a data person for integration questions, a finance person for dashboard requirements, a CEO or COO for direction. Once you're on retainer, it's even less, people just report what's broken and what they want to improve.

What happens if something breaks or doesn't work as expected?

That's covered under the build phase. You're paying for a production system that actually works. If something breaks in the first 30 days, we fix it at no extra cost. After that, it's part of ongoing support. This is different from consulting where you pay for a recommendation and then it's your problem.

Do we need to be on a long-term retainer? Can it be month-to-month?

Yes, it can be month-to-month. Most companies prefer 3-6 month terms because month-to-month leads to churning and inconsistent attention. But it's flexible.

What if we want to pause after the build and come back to ongoing retainer later?

That's fine. You build the infrastructure. You run it yourself for a while. If you want ongoing support later, we can add it. The systems are built to run without constant attention, so it's possible to pause.

Fractional Head of AI: What, Cost, When

What a Fractional Head of AI Actually Does (Day-to-Day)

If you've never worked with one, the role might sound vague. Let me be specific.

A fractional head of AI handles six concrete responsibilities, each tied directly to the layers of the AI Operating System.

1. Data Layer Ownership. Audits where your critical business data lives. Excel, QuickBooks, scattered across seven different systems, and consolidates it. Builds the source of truth. Creates the rules for what gets updated when and how. If your CEO needs to know something, they need to be able to see it without asking people.

2. Command Center and Dashboards. Designs and builds the live dashboards that let leadership see what's happening in the business in real time. Project status. Revenue. Pipeline. Operational metrics. Instead of status meetings where people report numbers, the numbers are live. This usually cuts status meeting time by 50-70%.

3. Private AI / Knowledge Layer. Sets up an AI assistant trained on your company's documents, data, and history. Not ChatGPT, which doesn't know anything about you. An AI that can answer 'What's our process for X?' from your own knowledge. It's like having a very well-informed employee who remembers everything.

4. Automation and Workflow. Identifies your highest-impact repetitive processes and automates them. Invoice processing. Approval routing. Status reporting. Follow-up sequences. Data entry from email. This is usually where the time savings come from. 20-40 hours per week of manual work eliminated.

5. Governance and Policy. Builds the AI use policy for your company. What tools can people use? How do they use them safely? What's off-limits? Makes sure everyone has access to the tools they need and knows how to use them without creating compliance or security risks.

6. Monitoring and Monthly Improvement. Once systems are live, monitors performance, adds new automations monthly, troubleshoots when something breaks, and adjusts as the business changes. This is the ongoing work that keeps systems relevant and working.

They do all this while working part-time, usually 10-20 hours per month once systems are mature. You work with them directly, not through a team of junior staff. Everything they build is tailored to your specific operation.

Fractional vs. Full-Time Hire vs. Consulting Firm vs. DIY: The Honest Comparison

You have four options. Here's how they actually compare.

Factor	Fractional	Full-Time	Consulting Firm	DIY
Cost (Year 1)	Fixed-fee engagement (audit + build + retainer)	$150K to $250K (salary + benefits + equipment)	$200K to $500K	$0 in cash
Time to first system live	2-6 weeks (after audit)	4-8 months (hiring, onboarding, ramping)	8-16 weeks (mostly discovery)	6-12 months
Who does the work	Senior practitioner directly	Your hire, learning as they go	Junior consultants, partners reviewing	Your team, without expertise
Hands-on vs. strategic	Both. Builds and governs.	Depends on hire. Often strategic only.	Mostly strategy, minimal building.	Hands-on only. No strategy.
Ongoing support after build	Included. 10-20 hrs/month.	Included. Full-time.	Not included. New engagement.	None.

Fractional Head of AI

A fixed-fee monthly retainer during implementation, with reduced scope after go-live for ongoing work. You get a senior person who knows how to build. They deliver production systems, not strategy decks. There's accountability because they're the one who built it. The limitation: this works best when you have a clear scope.

Full-Time Hire

$150K to $250K in Year 1. They're embedded and understand your business deeply. By year two, probably very valuable. The limitation: 4-8 months to productive. This usually makes sense for companies that have already done the AI work, not for companies in the "we don't know where to start" phase.

Big Consulting Firm

$200K to $500K. They deliver a document, not a system. Your team has to build it. The implementation gap is where most of these engagements fail. For a 50-person company, it's overkill and slow.

DIY

Cheap in cash, expensive in time and quality. Most companies end up with broken prototypes and abandoned projects. This only works if you have someone genuinely technical and genuinely smart about your business. Most companies don't.

The real recommendation: For a company with 20-200 employees asking "where do we start with AI?", the fractional model is usually right. Building + expertise + accountability + ongoing support without the cost or timeline of a full-time hire.

When Does a Mid-Market Company Need One?

The answer depends on whether you recognize yourself in these five situations.

"We Don't Know Where to Start"

You know AI matters. You've probably bought some tools. But you can't point to a concrete plan. You've talked about it in three leadership meetings. Nothing has shipped. This is the #1 signal. The fractional approach is specifically designed for this moment.

"We Got Quoted $400K and We Don't Have That Budget"

You reached out to a Big 4 firm or a traditional AI consulting company. They quoted $200K to $500K. A fractional head of AI can deliver the same infrastructure, live systems, not decks, for 10-25% of that cost and 50% of the timeline.

"We Have AI Tools, But Nobody Uses Them"

Your company bought Copilot licenses or subscribed to Claude Team. People access them occasionally. No integrated approach. No governance. Without governance and a command center, AI adoption stays at 5% penetration.

"Our Data Is Everywhere and Nobody Trusts the Numbers"

Your data lives in Excel, QuickBooks, Google Drive, Stripe, email, and your ERP. Your CEO doesn't know which number to trust. Nobody can answer simple questions without asking around. This is a data problem, but it's the foundation for everything else.

"We're Wasting 100+ Hours Per Week on Manual Work"

Your team spends enormous amounts of time on repetitive work: building reports, updating statuses, matching invoices, sending follow-ups. You know it could be automated, but you don't have the expertise to build it.

If you recognize any of these situations, you need a fractional head of AI, or at least an audit to figure out where to start.

What Gets Built (The AI Operating System)

The output is always the same structure, even though what gets built depends on your specific situation. The AI Operating System has six layers. Think of it like a building, the foundation has to be solid before you add floors.

Layer 1: Data

2-4 weeks

The foundation. Mapping all data sources, identifying the single source of truth for key metrics, building data pipelines, establishing data governance. Prerequisite for everything else.

Layer 2: Command Center

1-3 weeks

Live dashboards so leadership sees the business in real time. CEO dashboard, operational dashboards, financial dashboards. Depends entirely on data layer quality.

Layer 3: Private AI

1-2 weeks

An AI assistant trained on your company documents, policies, and history. Document ingestion, integration into your workflow, governance on what it can and can't access.

Layer 4: Automation

3-8 weeks

Identifying the 3-5 highest-ROI processes, building the automations, testing and deployment, training and hand-off. See the full list of common automations in our resource on AI automation.

Layer 5: Governance

1-2 weeks (runs parallel)

AI use policy, data access controls, compliance and security standards, training. What tools are allowed, how to use them safely, what's off-limits.

Layer 6: AI Visibility

Month 4-6, ongoing

Making sure when people ask their AI assistant for recommendations in your industry, your business shows up. Usually year-2 work once the foundation is solid.

For a mid-market company starting from scratch, the typical build includes Layers 1-5. Layer 6 comes later once the foundation is solid.

What It Costs (Transparent Pricing)

Let me be specific.

AI Ops Audit

Fixed-fee diagnostic

2-3 weeks

Complete map of your data infrastructure
Assessment of each of the 6 AI OS layers
Top 3-5 use cases and ROI potential
Timeline and cost estimate for the build phase
Clear recommendation on what to build first

AI Foundation Build

Fixed-fee build

4-16 weeks

Data consolidation and source of truth
Live command center dashboards
2-5 high-ROI automations
AI use policy and governance
Team training

Ongoing Retainer

Monthly retainer

10-20 hours/month

Monthly strategy review
2-3 new automations per month
Monitoring and troubleshooting
Governance updates
Hands-on work (building, not advising)

Year 1 Total Investment

Minimal: audit + small build

Standard: audit + foundation build + 3 months retainer

Full: audit + comprehensive build + 6-12 months retainer

For comparison

Full-time AI hire: $150K to $250K just in salary

Big 4 consulting engagement: $200K to $500K

DIY with no expertise: Often $50K+ in failed tools and lost opportunity

The ROI is usually visible in 90 days. If you eliminate 40 hours per week of manual work at $60/hour loaded cost, that's $120K per year in freed-up capacity. The build pays for itself.

See what actual builds have delivered in our case studies, or learn more about the Fractional Head of AI service.

The Honest Next Step

You're reading this because somewhere in your operation, AI infrastructure is broken or missing. You can feel it. Your team's doing manual work that shouldn't exist. You don't have visibility into your business. You don't know where to start.

A fractional head of AI solves that.

Most of my clients started exactly where you are. They were stuck between "this matters" and "we don't know what to do." The audit gave them clarity. The build gave them systems. The retainer gave them someone accountable for keeping it working.

You don't need to hire full-time. You don't need a $400K consulting engagement. You need someone who will show up, understand your operation, and build something that works.

Start with the free AI assessment. It will score your current state across the 6 layers of the AI Operating System. Then you'll know exactly what layer needs work first.

Fractional Head of AI: What They Do, What They Cost, and When You Need One