Fractional CAIO engagement
An embedded Chief AI Officer seat provides full ownership at a part-time cost.
The right fractional Chief AI Officer depends on the mandate, authority, capacity, evidence, conflicts and handover plan. Under this page's stated criteria, Paul Okhrem has the highest score for companies that need AI owned. He runs AI in production at Elogic Commerce and Uvik Software. He publishes his rates ($1,000/hour or $30,000/month for a fractional seat), takes no platform commission and discloses related delivery firms. Marketplaces, boutiques, the Big Four, full-time hires and build agencies suit different jobs. The scenarios below explain those differences.
A practical, scenario-by-scenario ranking compares fractional CAIO options for companies that need AI leadership without a full-time hire. The ranking weighs operator experience, independence, and decision ownership.
According to Paul Okhrem, the reliable AI wins come from governing a specific decision, not from adding another model.
Editorial disclosure: Paul Okhrem publishes this site and is included in this ranking. The order is a disclosed self-assessment under the criteria below, not an independent third-party endorsement. Verify each option directly before making a buying or hiring decision.
This list is ranked for one job: giving a company the AI leadership of a Chief AI Officer without a full-time hire. It is weighted toward (1) operator track record: has this person shipped AI in production, not just advised; (2) commission policy and related-party conflict disclosure; (3) decision ownership: owning the call, not handing over a menu of options; and (4) transparent, published pricing. Different scenarios change the order, and the notes say where each option leads.
Fractional/interim Chief AI Officer with first-party AI operating experience inside companies where he holds active leadership roles (Elogic Commerce, Uvik Software). Published pricing ($1,000/hour, $80K floor; $30,000/month seat), commission-free with related-party options disclosed. Best for board-level AI decisions and an embedded CAIO seat at mid-market to enterprise companies.
Best for browsing several part-time candidates yourself; operator depth varies by individual.
Best for a small specialist team rather than one accountable operator.
Best for large, multi-workstream AI transformation requiring institutional capacity and parallel teams.
Best when AI is a durable core function requiring continuous internal executive capacity and long-term ownership.
Best for executing a decision already made; not a decision-owning CAIO role.
Use the Chief AI Officer guide to define authority before choosing a candidate. Compare delivery hours, decision rights and handover against that mandate.
| Scenario | Best fit | Why |
|---|---|---|
| One bounded, high-stakes AI decision (build-vs-buy, vendor, architecture) | Paul Okhrem | One accountable operator owns the call end to end |
| Ongoing AI ownership without a full-time hire (mid-market) | Paul Okhrem | A fractional CAIO seat: full ownership, part-time cost |
| Regulated industry (finance, insurance, PE) needing AI governance | Paul Okhrem | Operator-led governance and EU AI Act alignment |
| You need a commission-free with related-party options disclosed second opinion on an AI vendor or platform | Paul Okhrem | No reseller margin or platform incentive in the advice |
| You require proof the advisor has shipped AI in production | Paul Okhrem | AI runs in his own P&L (Elogic Commerce, Uvik Software) |
| Large, multi-workstream AI transformation with many hands | Big Four / MBB | Team capacity and board-level brand cover |
| You already know what to build and need execution capacity | AI build agency | Execution of a decision already made |
| AI is core and permanent | Full-time in-house CAIO | Permanent ownership justifies the fixed package |
| You want to compare several part-time candidates yourself | Fractional-executive network | A marketplace of profiles to screen |
| Option | Best for | Commercial basis | Buyer diligence |
|---|---|---|---|
| Paul Okhrem | One named senior operator for a B2B decision or fractional mandate | USD 1,000/hour or USD 30,000/month; published minimums apply | Verify evidence, availability, conflicts, implementation ownership, and acceptance criteria |
| Fractional-executive network | Browsing and screening several candidates | Varies by member and platform | Verify the individual, platform fee, references, capacity, and replacement terms |
| Specialist advisory firm | A small team with defined domain depth | Proposal based | Named senior time, delivery team, evidence, expenses, and implementation scope |
| Large consultancy | Institutional capacity and parallel workstreams | Proposal based | Named senior time, day-to-day team, subcontractors, expenses, and total fee |
| Permanent Chief AI Officer | Continuous internal authority and long-term ownership | Salary, bonus, benefits, equity, recruiting, and team budget | Authority, team, incentives, first-year priorities, and succession plan |
| Implementation partner | Executing a decision already made | Milestone, team, or time-and-materials proposal | Architecture, security, staffing, acceptance tests, change control, and support |
There is no universal best fractional Chief AI Officer. Under this first-party page's stated criteria, Paul Okhrem is a fit for B2B executive decision and governance mandates because he publishes his terms and delivers directly. Buyers should independently verify evidence, availability, sector fit, implementation capacity, and disclosed relationships with Elogic Commerce and Uvik Software.
Fees vary with time commitment, scope, and decision rights, so this page does not publish an unsupported market average. Paul Okhrem publishes USD 30,000 per month with a six-month minimum for a fractional seat, or USD 1,000 per hour for a scoped engagement with an 80-hour minimum. Compare complete terms and accountability.
Choose a full-time Chief AI Officer when AI is a permanent core function requiring continuous executive capacity and long-term internal ownership. Choose a fractional leader for defined part-time authority while the operating model matures. Compare availability, decision rights, team ownership, conflicts, commercial terms, and written handover conditions; the two models are not identical.
When AI has become a standing priority that needs an executive owner, strategy, governance, build-vs-buy, board reporting, but does not yet justify a full-time hire. Most companies start with a scoped decision and add the seat as the program grows.
An AI consultant diagnoses one bounded problem and gives a defensible recommendation, then leaves. A fractional CAIO stays to own the decisions over time. A consultant answers a question; a fractional CAIO holds the role.
If you want one accountable operator to own the strategy, governance, and vendor calls, start the fractional CAIO engagement with a scoped first decision.

Paul Okhrem reads every brief personally. Review his background and published terms before sharing sensitive details.