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Fractional CAIO
A fractional chief AI officer, accountable a few days a month
A fractional chief AI officer is a senior AI lead who works with you a few days a month and is the accountable owner for AI risk, policy and roadmap.
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Firms rating ethical concerns a significant AI barrier0%Among firms citing it, the most significant barrier.
Source: Department for Science, Innovation and Technology, 28 January 2026 ↗Where the line sits
Someone has to own AI in your business
AI is already arriving in most organisations, through staff tools, suppliers and software updates.
What is often missing is a senior person accountable for how it is used.
Many firms are not ready for a full-time chief AI officer, and some never will be.
A fractional chief AI officer gives you that accountability part time, while the board keeps overall responsibility.
What AI can prepare
- Inventories of AI tools and use cases
- First drafts of policies and risk registers
- Summaries of supplier terms and model documentation
- Usage and monitoring reports
- Draft board papers for review
What the fractional CAIO owns
- The AI roadmap and its priorities
- The AI policy and how it is enforced
- Approval of higher-risk use cases
- Reporting to the board on AI risk
- The escalation point for AI incidents
The role
What a fractional chief AI officer does each month
A fractional chief AI officer works with you for an agreed number of days each month.
They own the AI roadmap, the AI policy and the register of AI use across the business.
They approve new use cases, decide where human review is needed and report to the board.
Between sessions, your team runs the day-to-day with clear rules and a named escalation route.
We provide this as a part-time chief AI officer service, sized to your stage and risk.
- An AI roadmap tied to business priorities
- An AI policy staff can actually follow
- A register of AI tools, uses and owners
- Board reporting on AI risk and progress
85%
AI acts alone
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65% of 200 cases
Goes to a person
70
35% of 200 cases
Illustrative batch with a typical confidence spread. Your real split comes from a pilot on your own work. Some decisions go to a person whatever the score.
Accountability
Accountable for AI risk, with the board still in charge
Boards cannot hand their responsibilities to a tool or a supplier.
The Institute of Directors has published board-level guidance on governing AI responsibly, including accountability and ethical oversight.
A fractional CAIO gives the board a senior person to hold to account for that work.
Article 4 of the EU AI Act also expects providers and deployers to ensure staff AI literacy, which matters if you operate in the EU.
For a structured management system, ISO/IEC 42001 sets out how to run AI governance in a repeatable way.
None of this replaces legal advice, and a good CAIO brings in your advisers where the stakes require it.
AI drafts
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Person decides
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Fit
When a fractional CAIO makes more sense than a hire
Fractional works well when AI matters to the business but does not yet need a full-time executive.
It also suits firms that want senior oversight while an internal lead is developed.
Fractional leadership is now common across the C-suite, and our sister site Fractional Quest covers roles from CFO to CISO.
Where the need is hands-on delivery rather than leadership, an AI implementation consultant may be the better fit.
Many CAIO engagements start with an AI readiness assessment to set the baseline.
Fractional works well when AI matters to the business but does not yet need a full-time executive.
How it works
Four steps, one owner
Each system ships with a named person accountable for what it does.
01
01
Baseline
We review current AI use, policies, suppliers and risks.
02
02
Roadmap and policy
We agree priorities with leadership and put a usable AI policy in place.
03
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Govern
Each month we approve use cases, review risks and update the register.
04
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Report and build capability
We report to the board and develop your internal owners over time.
Questions
Asked and answered
Further reading
From the source
Institute of Directors, 23 September 2025Responsible AI governance for businesses ↗Board-level questions and principles for governing AI.International Organization for StandardizationISO/IEC 42001:2023, AI management systems ↗European Commission AI Act Service DeskEU AI Act, Article 4: AI literacy ↗Providers and deployers must take measures to support staff AI literacy (as amended July 2026).Department for Science, Innovation and TechnologyIntroduction to AI assurance ↗The UK government’s primer on assuring AI systems.Information Commissioner’s OfficeGuidance on AI and data protection ↗Department for Science, Innovation and Technology, 28 January 2026AI Adoption Research ↗Survey of 3,500 UK firms on AI use, barriers, readiness and human oversight.
Keep reading
Related pages
TrainingAI governance course →An AI governance course for the people who design the controlsGovernanceAI policy template →An AI policy template your team will actually followGovernanceAI readiness assessment →An AI readiness assessment that names the human checkpointTrainingAI training for executives →AI training for executives, because accountability does not delegate
Next step
Tell us the work. We’ll show you where the line goes.
A 30-minute call. We map one workflow, what the AI could take, and where a person must stay in the loop.