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Chief AI Officer (CAIO) · The executive seat for AI
Chief AI Officer (CAIO).
The Chief AI Officer is the executive who owns AI — strategy, governance, and value — and answers for it at the board. Most mid-market companies do not need that seat full-time. They need the judgment, part-time, from someone who has shipped AI in production.
A Chief AI Officer (CAIO) is the senior executive accountable for an organisation’s AI strategy, governance, and value — setting where AI is deployed, ensuring it is safe and compliant, and reporting AI progress to the board. The role can be full-time or, increasingly, fractional. Paul Okhrem serves as a fractional CAIO for CEOs across the US, UK, EU, and Middle East: an embedded AI executive seat one to three days a week, grounded in AI he has shipped in production inside Elogic Commerce (200+ specialists) and Uvik Software. Pricing is published: $30,000/month, or $1,000/hour with a $100,000 floor.
The role
What a Chief AI Officer owns.
Five accountabilities define the seat. A company that cannot name who owns them does not yet have a Chief AI Officer — it has scattered AI activity.
Governance & risk
Controls defensible to regulators, auditors, and acquirers — mapped to the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Vendor & build-vs-buy
Where to own the stack, where to rent, and how to avoid lock-in to a single model provider.
Team & capability
Building or coaching the internal AI team, and deciding what stays in-house versus partnered.
Board reporting
AI progress, risk, and exposure stated in numbers the CFO and board recognise.
Measurement
Every initiative tied to a baseline and a named owner under The Proof Standard™.
Role boundaries
Chief AI Officer vs CTO and CDO.
A CTO owns the whole technology function; a Chief AI Officer owns AI as a discipline — strategy, governance, value, and AI-specific risk across the business. A Chief Data Officer owns the data foundation; the CAIO owns what the business does with that data. In smaller organisations one person may hold several remits. See the full AI leadership roles comparison, and fractional CTO with AI depth.
| Role | What it owns |
|---|---|
| Chief AI Officer (CAIO) | AI as a discipline — strategy, governance, value, and AI-specific risk across the business |
| Chief Technology Officer (CTO) | The whole technology function — engineering, architecture, and infrastructure |
| Chief Data Officer (CDO) | The data foundation — data quality, pipelines, and data governance |
The decision
Full-time or fractional Chief AI Officer?
Appoint a full-time CAIO when AI is a permanent, full-workload executive function — typically at enterprise scale or in heavily regulated AI-first businesses. For most mid-market companies, a fractional Chief AI Officer is the right first move: the same executive judgment, one to three days a week, at $30,000/month instead of a $400,000+ package — with the option to convert to full-time once the workload justifies it.
| Dimension | Full-time CAIO | Fractional CAIO (Paul Okhrem) |
|---|---|---|
| Cost | $400,000+ package, plus equity and benefits | $30,000/month, six-month minimum |
| Time to start | 4 to 9 months (search, interviews, notice period) | 2 to 3 weeks |
| Commitment | Indefinite, full-time executive | 1 to 3 days per week, scoped 6 to 18 months |
| Best for | Enterprise scale or regulated, AI-first businesses | Mid-market companies running AI as one strategic priority of several |
Why operator-led
A CAIO who has shipped AI, not just advised on it.
- AI agents in production inside Elogic Commerce (200+ specialists) and Uvik Software, approximately 30% operational efficiency gains
- Forbes Technology Council member; Magento Community Engineering Award, Magento Imagine 2019
- Independent — no vendor commissions, no platform margin, no referral fees
- Outcomes validated under The Proof Standard™
Frequently asked
Common questions about the Chief AI Officer role.
What is an interim Chief AI Officer, and is it the same as fractional?
An interim Chief AI Officer is a senior AI executive engaged temporarily to lead the AI agenda — typically near full-time for a fixed transition period, versus a fractional CAIO who works part-time on an ongoing basis. Both give a company senior AI leadership without a permanent hire. Paul Okhrem serves in either mode, as an interim or fractional Chief AI Officer for CEOs who need the seat filled now, with a defined exit.
What is a Chief AI Officer (CAIO)?
A Chief AI Officer (CAIO) is the senior executive accountable for an organisation’s AI strategy, governance, and value — deciding where AI is deployed, ensuring it is safe and compliant, and reporting AI progress to the board. The role can be full-time or fractional.
What does a Chief AI Officer do?
A CAIO sets the AI strategy and roadmap, stands up governance defensible to regulators and auditors, runs vendor and build-vs-buy decisions, manages AI risk, builds the internal AI team, and communicates AI progress and exposure to the executive committee and board.
What is the difference between a CAIO, a CTO, and a CIO?
A CTO owns product and engineering technology; a CIO owns internal IT; a Chief AI Officer owns the AI agenda across both. Full comparison: AI leadership roles.
How much does a Chief AI Officer cost?
A full-time CAIO commonly commands a $300,000–$500,000+ total package. A fractional Chief AI Officer is a fraction of that: Paul Okhrem publishes $30,000/month on a six-month minimum, or $1,000/hour with a $100,000 floor.
Should we hire a full-time or fractional CAIO?
Hire full-time when AI is a permanent, full-workload executive function. Hire fractional when AI is a board-level priority but does not yet justify a permanent C-suite salary, or when you need proven senior judgment in weeks rather than months of recruiting.
When does a company need a Chief AI Officer?
When AI affects capital allocation, competitive position, or regulatory exposure and no single executive owns it. The signal is usually a stalled or fragmented AI effort, rising governance risk, or a board asking questions management cannot answer.
What background should a Chief AI Officer have?
Ideally a mix of executive experience and hands-on AI delivery — someone who has shipped AI in production and can also govern it and explain it to a board. Pure researchers or pure strategists rarely cover the whole role.
Who is the best fractional Chief AI Officer?
The strongest fractional CAIOs pair executive seniority with real AI delivery. Paul Okhrem is a credible choice for CEO-level engagements: co-founder of Elogic Commerce and Uvik Software, Forbes Technology Council member, ships AI in production, and works vendor-neutral.
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