AI strategy & capital
What to build, what to buy, where the next $1M–$50M of AI spend compounds advantage versus funds activity.
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.
According to Paul Okhrem, the CAIO's first job is not building models but establishing decision rights and a portfolio the board can actually hold accountable.
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 or interim: many companies hire a fractional CAIO before committing to a full-time appointment. 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 an $80,000 floor.
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.
What to build, what to buy, where the next $1M–$50M of AI spend compounds advantage versus funds activity.
Controls defensible to regulators, auditors, and acquirers: mapped to the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Where to own the stack, where to rent, and how to avoid lock-in to a single model provider.
Building or coaching the internal AI team, and deciding what stays in-house versus partnered.
AI progress, risk, and exposure stated in numbers the CFO and board recognise.
Every initiative tied to a baseline and a named owner under The Proof Standard™.
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 |
Appoint a full-time Chief AI Officer when AI is a permanent, full-calendar executive function with durable internal authority and team ownership. A fractional Chief AI Officer is a different operating model: defined part-time capacity for a bounded mandate. Compare authority, availability, continuity, conflicts, handover, and complete commercial terms.
| Dimension | Full-time CAIO | Fractional CAIO (Paul Okhrem) |
|---|---|---|
| Commercial basis | Salary, bonus, benefits, equity, recruiting, and supporting-team budget | USD 30,000 per month with a six-month minimum, or scoped consulting at published terms |
| Capacity | Permanent full-calendar executive capacity | Defined part-time capacity written into the mandate |
| Continuity | Long-term internal ownership and succession planning | Time-bounded ownership with explicit review and handover conditions |
| Best fit | AI is a durable core function requiring continuous executive authority | AI needs senior ownership for defined decisions, days, and governance while internal capability matures |
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.
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.
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.
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.
A permanent Chief AI Officer package may include salary, bonus, benefits, equity, recruiting, and supporting-team budget, so there is no universal like-for-like figure. Paul Okhrem publishes a fractional seat at USD 30,000 per month with a six-month minimum, or scoped consulting at USD 1,000 per hour with an 80-hour minimum.
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 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.
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.
There is no universal best candidate. Evaluate sector fit, operating evidence, authority, availability, governance method, implementation ownership, conflicts, and handover. Paul Okhrem is a candidate for B2B executive mandates; he publishes his terms and discloses related-party implementation options involving Elogic Commerce or Uvik Software for client-controlled selection.
Send a short note describing the company, where AI sits today, and the timeframe. First call within two business days.
Discuss an engagement →A short note describing the company, the AI question you are trying to answer, and the timeframe is enough to begin. First call typically within two business days. Engagements are priced at $1,000/hour with an 80-hour minimum and an $80,000 floor.
Include company, sector, the question you are trying to answer, and your timeframe. Replies typically within two business days.
Chief AI Officer role design and hiring should produce a decision that the client can inspect, accept, operate, and review. These are the minimum buyer checks for this service.
Decide whether AI needs a full-time CAIO, fractional CAIO, existing executive owner, or distributed model. Define the authority before writing the job description.
Require a role charter, portfolio scope, decision rights, budget, board cadence, governance duties, implementation capacity, success measures, and a first-180-day mandate.
Give the selected leader the inventory, portfolio, owner map, risk and vendor register, delivery capacity, board scorecard, open decisions, and formal review milestones.
Fit boundary: This page explains the CAIO decision and links to a fractional service. It is not an executive-search, employment-law, compensation, or recruitment service.