Fractional Chief AI Officer
Scope and terms for recurring AI executive ownership.
AI leadership roles: CAIO, Head of AI, CTO, CDO and AI consultant
AI leadership roles differ by the decisions they own. A Chief AI Officer leads the company-wide AI agenda. A Head of AI leads technical delivery. CTO, CIO and CDO roles cover technology, internal systems and data. This guide by Paul Okhrem compares those responsibilities with consulting and agency work.
Paul Okhrem's scope. His consulting addresses a bounded executive decision. His fractional CAIO service provides recurring AI ownership within agreed authority and hours. A permanent executive search or a large delivery team needs a different scope.
AI leadership roles · A guide for CEOs
Head of AI versus Chief AI Officer
A Head of AI usually leads a technical AI team: data scientists, machine learning engineers and AI product work. A Chief AI Officer is an executive role. It covers AI strategy, portfolio funding, governance and board reporting across the company.
Many companies need a Head of AI first. Several AI programs, regulatory exposure or board pressure can create a need for executive ownership, full-time or fractional. A fractional Chief AI Officer can own the executive agenda while the Head of AI leads delivery.
| Decision | Head of AI | Chief AI Officer |
|---|---|---|
| Team | Leads technical AI delivery | Aligns AI owners across the company |
| Funding | Plans work within the approved budget | Sets portfolio priorities within agreed authority |
| Reporting | Reports delivery, quality and technical risks | Reports investment, governance and value to executives |
For the full-time role in detail, read the Chief AI Officer role guide.
76% of organizations surveyed by IBM have a Chief AI Officer in 2026, up from 26% in 2025. Source: IBM's 2026 CEO study. This is a self-reported survey; titles vary by company.
AI consultant vs Head of AI
An AI consultant addresses an agreed problem within a defined scope. A Head of AI manages the technical team and its ongoing delivery. Choose consulting for a bounded decision. Hire a Head of AI when the company needs daily technical leadership, staffing and ownership of the AI delivery roadmap.
Agree the handover between them. A consultant can help frame an investment or governance decision while the Head of AI owns the resulting technical work.
At a glance
AI leadership responsibilities, side by side
Match the role to the decision, then agree its authority and available time.
| Role | What it owns | Engagement shape | Hire when |
|---|---|---|---|
| AI advisor | Advice and review | Ongoing or scoped advice | Leaders need a second view on recurring decisions |
| AI consultant | One agreed problem | Defined scope, start and end | A bounded AI decision needs focused work |
| Fractional CAIO | AI strategy, governance and board reporting | Part-time executive mandate | Recurring AI decisions need an executive owner |
| Head of AI | Technical AI team and delivery | Internal leadership role | A team needs daily technical direction |
| CTO | Technology and engineering | Full-time or fractional CTO | Engineering needs executive ownership |
| CIO | Internal systems, data and IT vendors | Full-time or fractional CIO | Internal IT decisions need one owner |
| CDO | Data strategy, quality and governance | Full-time or fractional chief data officer | Data ownership or quality blocks AI |
| AI agency | Building and operating agreed AI systems | Project or retainer | An approved design needs delivery capacity |
AI advisor vs AI consultant
An AI advisor provides recurring review and guidance. An AI consultant addresses a defined problem with an agreed start, end and output. Either role needs a written scope. The title alone does not establish authority to make decisions or responsibility for implementation.
| Dimension | AI advisor | AI consultant |
|---|---|---|
| Engagement | Ongoing, relationship-based | Scoped, clear start and end |
| Output | Judgment and direction | A specific recommendation or deliverable |
| Implementation | Usually not | Sometimes included |
| Best when | Recurring high-stakes calls | One bounded problem |
Continuity calls for an advisor; a bounded problem calls for a consultant. Paul Okhrem is engaged in both modes: scoped AI consulting and ongoing advisory.
AI consultant vs fractional CAIO
An AI consultant addresses one scoped decision, such as a vendor choice, architecture review or governance gap. A fractional Chief AI Officer owns recurring AI strategy, governance and board reporting within an agreed mandate. Define the authority, hours, delivery owners and measures for each role before work starts.
| Dimension | AI consultant | Fractional CAIO |
|---|---|---|
| Role | External advisor | Embedded executive (part-time) |
| Scope | One decision or project | Standing ownership of the AI agenda |
| Accountability | For the recommendation | For outcomes over months |
| Seat | At the table for a project | At the executive committee |
| Best when | A bounded decision | AI needs an owner, not yet full-time |
Use consulting for one decision. For recurring executive ownership, review the fractional CAIO engagement.
CTO vs Chief AI Officer
A CTO owns technology architecture and engineering priorities. A Chief AI Officer owns AI strategy, governance and value across the business. Their work overlaps on infrastructure, system quality and release decisions. Agree how they share those decisions and when a dispute needs executive review.
| Dimension | CTO | Chief AI Officer |
|---|---|---|
| Remit | All technology and engineering | AI strategy, governance, value, risk |
| Breadth | Broad: the full stack | Deep and AI-specific |
| Reach | Engineering and product | Cross-functional (ops, legal, commercial) |
| In smaller orgs | Often absorbs CAIO duties | May not exist as a separate seat |
Companies that need part-time engineering leadership can hire a fractional CTO. Define the AI work inside that mandate before comparing it with a separate CAIO seat.
Chief Data Officer vs Chief AI Officer
A Chief Data Officer owns data strategy, quality and governance. A Chief AI Officer owns AI priorities, deployment decisions and risk. Both need agreed data access, clear business owners and evidence of system quality. Their responsibilities should meet at each AI use case's data requirements.
| Dimension | Chief Data Officer | Chief AI Officer |
|---|---|---|
| Owns | The data foundation | AI value and AI risk |
| Focus | Governance, quality, architecture | Models, deployment, AI governance |
| Answers | Is our data trustworthy and usable? | Are we turning it into outcomes safely? |
| Dependency | Stands alone | Builds on the CDO’s foundation |
When data quality blocks AI, a fractional chief data officer can own data strategy and data governance.
AI agency vs AI advisor
An AI agency builds and operates systems under an agreed delivery scope. An AI advisor reviews options and supports the client's decision. Check fees, vendor ties and related-party interests for either model. A job title does not establish independence or remove the need for disclosure.
| Dimension | AI agency | AI advisor |
|---|---|---|
| Work | Software delivery and operations | Review and decision support |
| Acceptance | Agreed system behavior and handover | Agreed evidence and recommendation |
| Conflicts | Check vendor ties and delivery incentives | Check vendor ties and related-party interests |
| Best when | An approved scope needs a build team | A decision needs further review |
Paul discloses his leadership roles at Elogic Commerce and Uvik Software before any proposed implementation work. The client chooses the provider, and that work is contracted separately.
How to choose the right AI leadership role
Start with the unresolved decisions and the time they need. Use consulting for a bounded question and fractional leadership for recurring executive ownership. An internal Head of AI fits daily technical delivery. For internal systems, data and IT vendors, a fractional CIO covers the executive role part time.
Define the AI mandate before selecting a title
Tell Paul the decision, its owner and the deadline. He replies within two business days to check scope and fit.
Send a private briefBuyer’s guide
Frequently asked: choosing an AI leadership role.
Do I need an AI consultant or a fractional CAIO first?
Start with consulting if you have one bounded decision to make. A fractional CAIO fits recurring AI strategy, governance and delivery decisions that need an executive owner.
How should a CEO choose a fractional Chief AI Officer?
Give candidates the same written mandate. Check operating evidence, decision authority, available time, governance method, delivery ownership, conflicts and handover. Paul publishes his terms and discloses leadership roles at Elogic Commerce and Uvik Software. Buyers should verify the evidence and fit for their own scope.
What does a fractional Chief AI Officer cost in 2026?
Paul Okhrem's fractional seat costs USD 30,000 per month with a six-month minimum, or USD 180,000 total. It provides up to 30 hours per month. Scoped consulting costs USD 1,000 per hour with an 80-hour minimum. Compare the total commitment, hours, deliverables and decision rights.
Is a Chief AI Officer the same as a CTO or CDO?
No. A CTO owns technology, and a CDO owns the data foundation. A Chief AI Officer owns AI strategy, governance and value across the business. A smaller organization may combine these duties if the authority and time are clear.
Change log
- : Reviewed service scope, decision guidance and supporting resources for the October release.
- : Reviewed service scope, source evidence, links and buyer answers for the October release.
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Paul Okhrem reads every brief personally. Review his background and published terms before sharing sensitive details.