A fractional Chief AI officer is a senior, part-time AI leader who ensures AI is used to drive commercial outcomes safely, practically and at the right pace.. They own AI strategy, AI governance and delivery, and report to your board. They have the same responsibilities as a full-time CAIO, but work with businesses that don’t need senior AI support every day.

You probably need a fractional CAIO if two or more of these apply: 

1. Different departments have adopted AI independently
2. You have no written policy on how your AI tools should be used, or what should go into them
3. Your board is asking for your position on AI, yet nobody’s sure what it is
4. AI implementation has stalled, or 
5. You’re spending on AI without a means of measuring your ROI

One of these is manageable. Three is a problem.

The main difference between a fractional CAIO and an AI consultant is scope and accountability. 

An AI consultant delivers a defined piece of work – an audit, a strategy, an implementation – and the engagement ends when it’s delivered. 

A Fractional CAIO holds the role continuously: they’re in your leadership meetings, accountable for outcomes, and responsible for what happens after the recommendation. 

With a fractional CAIO you’re buying hands-on leadership and ongoing ownership rather than expert guidance and a document.

The ROI of AI is measured against commercial business goals that are agreed before we start: 

• revenue growth
• cost reduction
• efficiency gains
• improved decision-making

Not tool adoption, not usage statistics, not number of pilots run. We set the baseline during the assessment so there’s something to measure against.

No, the two roles are complementary, not competing. The CMO remains the lead on marketing and is the primary client contact, and the FCAIO focuses on AI strategy, prioritisation and governance. Both roles work together to align AI with commercial outcomes.

Many clients start with a CMO and add a CAIO when AI activity outgrows what marketing alone should own.

Possibly. The EU AI Act can apply to businesses outside the EU: if you place “high-risk” AI systems on the EU market, or the output of your AI systems is used in the EU, you may be in scope even with no EU entity. What you’re required to do depends on your role (provider or deployer) and how your systems are classified by risk. Many businesses haven’t done that assessment yet, which is where we start. And while the EU has agreed to push back the high-risk deadlines to December 2027, the obligations still apply, just later.

Under Article 6 of the EU AI Act, an AI system is high-risk if:

1.  It’s a safety component of a regulated product that needs third-party safety checks, such as medical devices or machinery, or 
2. It’s used in one of the sensitive areas listed in Annex III. Those areas include biometrics, education, credit scoring, law enforcement and employment, including tools that filter job applications or evaluate candidates. 

There’s an exception for systems that only perform a narrow procedural task or a preparatory task, but it never applies to an Annex III system that profiles individuals. Those are always high-risk.

It’s worth noting that most marketing uses of AI aren’t high-risk. Chatbots and AI-generated content instead fall under lighter transparency rules: people must be told when they’re interacting with an AI, and synthetic content must be marked as AI-generated. For most SMEs, the one to watch is recruitment. 

There’s no UK AI Act, but data protection, equality and consumer law already apply to how you use AI. And if you trade with the EU, the EU AI Act may too.

We can help make sure your use of AI is always within applicable laws.

Only what’s needed, and only once we’ve agreed it with you. Every engagement starts with a conversation about your goals, and any access to systems or data is scoped, agreed in writing and covered by confidentiality terms before work begins. Your Fractional CAIO will talk you through exactly what’s involved in your initial discussions with them.