Owns the AI strategy
The 12 to 24 month roadmap, sequenced by leverage and gated by readiness. Reviewed quarterly with the CEO. Carried into board materials. The fractional CAIO can answer "what is our AI strategy" in one paragraph without hedging.
FRACTIONAL CHIEF AI OFFICER · CAIO
Senior AI leadership embedded in your business. Without the full-time hire.
A fractional Chief AI Officer (CAIO) gives you the strategic AI seat at your leadership table — strategy, governance, vendor decisions, team architecture — at a fraction of a full-time hire’s cost and a fraction of the time-to-start. Paul Okhrem, a Prague-based AI consultant, takes fractional CAIO engagements worldwide. The role exists because the right CAIO is rare, slow to recruit, and expensive enough that most companies need to operate at scale before justifying a full-time CAIO at $400,000 to $700,000 total compensation.
$1,000 / hour
100-hour minimum
6–18 months typical
2–3 days per week
What it is
A senior AI executive, embedded part-time, with operator credentials.
A fractional Chief AI Officer is a senior AI executive embedded in your business — typically 1 to 3 days per week, on a 6 to 18 month commitment — with the seniority to set strategy and the proximity to follow through. The role exists because three things rarely line up at the same time: a CEO ready to act on AI, a senior AI executive available to recruit, and a budget capable of supporting a $400,000 to $700,000 full-time hire indefinitely.
Unlike a consultant
A fractional CAIO joins your operating cadence — board meetings, leadership team meetings, vendor reviews, hiring panels — and signs off on outcomes rather than just delivering recommendations. The engagement does not end when the deck is delivered; it ends when the metric has moved.
Unlike an advisor
A fractional CAIO holds operational responsibility, not just informational influence. The fractional CAIO is empowered to make decisions inside their scope — approve vendor contracts, structure the AI team, set the proof standard — not only to make suggestions for someone else to act on.
Unlike a contractor
A fractional CAIO commits to a specific business outcome and stays until it has been measured. Contractor engagements are scoped to deliverables; fractional CAIO engagements are scoped to outcomes — with the proof standard published in advance and signed off by a named client executive.
When to engage one
Eight indicators a fractional CAIO is the right move.
If three or more of these describe your situation, a fractional CAIO is likely the most economically efficient way to build AI leadership capacity right now.
- You are making AI decisions but no internal executive owns AI strategy. Decisions are accumulating — vendor contracts, team hires, model choices, data architecture — and no one has the seniority and time to qualify them centrally.
- You cannot justify a full-time CAIO yet, but cannot afford to wait six months to hire one. The recruiting cycle for a senior AI executive is 4 to 9 months including search firm fees, references, negotiation, and notice periods. AI strategy cannot wait that long without compounding cost.
- Your AI team has technical leadership but lacks senior strategic leadership. A Director of AI or Head of Machine Learning is rarely the right person to set strategy, own governance, or carry the AI conversation in the boardroom. Different role, different seniority.
- Your board is asking AI questions you cannot answer with confidence. Board-level AI questions — capital allocation, competitive risk, regulatory exposure, vendor consolidation — require executive-grade answers, not engineering-grade ones.
- AI vendor decisions are accumulating but no one is qualifying them seriously. Procurement teams are not equipped to evaluate AI vendors; engineering teams have build bias. The fractional CAIO holds the criteria for build vs. buy and the contract terms that protect against vendor lock-in.
- You are entering a transformation event — replatforming, M&A, scale, or restructuring — and AI strategy needs to be folded in. Transformation events are when AI strategy gets locked in, deferred, or accidentally undermined. A fractional CAIO carries the AI thread through diligence, planning, and execution.
- A CTO or VP Engineering is leading AI by default, which is a different role. CTOs run engineering organizations; CAIOs run AI strategy across the business. The skills overlap; the responsibilities do not. Asking a CTO to also be the CAIO is asking them to do two senior jobs at half the depth.
- A previous CAIO or Head of AI departed and the seat is open. When a senior AI seat goes empty, AI strategy decays in 3 to 6 months. A fractional CAIO holds the seat through the search, interviews internal candidates honestly, and ensures the next full-time hire walks into a working operating model rather than a rebuild.
The operating model
What a fractional CAIO actually does, week to week.
The activities below are the operating substance of the role. Not a deliverable list — an operating model that runs continuously through the engagement.
Sets the AI operating model
Team structure, reporting lines, capability allocation, budget. The shape of the AI organization — what is owned in-house, what is bought, what is partnered. Hiring panels for senior AI hires.
Qualifies vendor decisions
Build vs. buy, model selection, infrastructure choices, contract terms. Sets the criteria, runs the qualification process, reviews proposed contracts before signature. Holds the line on vendor lock-in and data terms.
Owns AI governance and risk
Data handling, model evaluation, regulatory compliance, board reporting on AI risk. Sets the policies before they are needed in front of regulators, customers, or the board — not after.
Translates technical to executive
Engineers explain things one way; CEOs and boards need them explained another way. The fractional CAIO carries technical decisions into board conversations without losing fidelity in either direction.
Sets the proof standard
Defines what "working" means for each AI initiative — baseline, intervention, metric, owner, measurement window — before launch. Engagements end when the proof standard says they have, not on a calendar date.
Stress-tests the team
Senior eyes on architecture decisions, hiring panels, technical due diligence. The role is not to be the smartest engineer in the room; it is to be the most useful pressure-test on the engineers who are.
Carries M&A and capital events
AI capability is now a real diligence vector for buyers and investors. The fractional CAIO answers AI diligence questions, structures the AI roadmap section of the data room, represents AI capability in management presentations.
Fractional vs. full-time
When to choose fractional, when to choose full-time.
The question is not whether a full-time CAIO is "better" — it is whether the company is at the scale and stage where a full-time CAIO returns more than the substantial cost of carrying one. Most companies pre-scale, in transition, or running AI as one strategic priority among several are better served by fractional.
Dimension
Full-time CAIO
Fractional CAIO
Annual cost
$400K to $700K+ total compensation, plus equity, plus benefits
$100K to $400K total project cost. No equity, no severance risk, no recruiting fees
Time to start
4 to 9 months including search firm engagement, interviews, references, negotiation, notice period
2 to 3 weeks from inquiry to first board meeting
Commitment
Indefinite. Severance, equity vesting, internal brand exposure if it does not work out
Scoped 6 to 18 months. End condition published in advance and signed off by the CEO
Internal political weight
Full executive. Sits in succession planning, comp committee scrutiny, leadership team dynamics
External authority. Distance from internal politics is a feature for governance and pressure-testing
Right for
Companies with sustained AI scale, AI-native business model, or regulatory complexity requiring ongoing executive ownership
Companies pre-scale, in transition, or running AI as one priority of several. Most B2B software, ecommerce, and AI-driven businesses today
For most companies, the right sequence is fractional first, full-time later — once the operating model is established, the proof standard is in place, and the AI team is staffed enough to justify a full-time executive.
Engagement model
How fractional CAIO engagements with Paul Okhrem work.
Same rate card as consulting engagements, scoped to fractional CAIO activities. The structure is published in advance so the engagement can be evaluated against it.
Time commitment
2 to 3 days per week (16 to 24 hours), with intensity flexing around board meetings, vendor decisions, or specific initiatives. Available for ad-hoc CEO calls between scheduled days.
Duration
6 months minimum, 12 to 18 months typical. Long enough to land an outcome, short enough to keep the engagement honest. Extension is possible when justified by a new outcome.
Pricing
$1,000 per hour, 100-hour minimum, $100,000 project floor — the same rate card as consulting engagements. A typical fractional CAIO engagement runs $200,000 to $400,000 total over 12 to 18 months.
Reporting line
Reports to the CEO. Sits in the leadership team meeting cadence. Attends board meetings as the AI representative when relevant. Holds a calendar slot for board prep before each board meeting.
Decision authority
Empowered to make decisions within the scope agreed at engagement start — vendor approvals up to a stated threshold, hiring sign-off on senior AI roles, sign-off on the AI risk policy. Out-of-scope decisions go to the CEO.
End condition
Engagement ends when the outcome metric has moved against the proof standard published at start — not on a calendar date. The proof standard is set in week one and signed off by the CEO.
Concurrent engagements
Selective. No more than two concurrent fractional CAIO engagements at a time, by design. The role requires depth, and depth requires bandwidth.
Outcomes
Recent fractional CAIO outcomes.
Three recent engagements (anonymized; full case studies and the proof standard methodology on the homepage Outcomes section):
Financial services compliance operations
RAG-based document review system. Cycle time 3 hours → under 20 minutes (−85%). Error rate 6% → under 1% (−83%). Return on investment in 5 months from go-live.
Industrial operations predictive maintenance
Sensor data pipeline plus ML forecasting. Maintenance cost down 30%. Overall Equipment Effectiveness (OEE) up 15%. Reactive maintenance posture replaced with forecast-driven scheduling.
Ecommerce customer operations
Tier-1 customer query automation. 60% of incoming queries handled without human escalation. Resolution time down 70%. Repeat purchase rate up 12% over the engagement window.
Each outcome was measured under the proof standard — baseline, intervention, metric owner, measurement window, validation method — published before engagement start.
First 30 days
What the first 30 days of a fractional CAIO engagement look like.
Compressed onboarding designed to land a working operating model and a published proof standard inside the first month.
- Week 1. CEO alignment session, leadership team introduction, board reporting cadence established. Existing AI work — projects, vendors, team — mapped and qualified.
- Week 2. Proof standard drafted with CEO sign-off. AI risk inventory started. Vendor pipeline reviewed and triaged. Outstanding contracts pulled for review.
- Week 3. Operating model proposal — team structure, reporting lines, capability allocation, budget. Reviewed with the CEO and CFO. Initial hiring needs scoped.
- Week 4. First quarterly AI strategy document delivered to the CEO and (if relevant) the board. Engagement scope refined based on first-month signal. Proof standard finalized and signed off.
For the broader 30-day milestone view, see the First 30 Days infographic on the homepage.
FAQ
Fractional CAIO — frequently asked questions.
How is a fractional CAIO different from a consultant?
A consultant delivers recommendations and exits. A fractional CAIO joins the operating cadence — board meetings, leadership team meetings, vendor reviews, hiring panels — and signs off on outcomes. The engagement does not end when the deck is delivered; it ends when the metric has moved against the proof standard published at start. Different commitment, different authority, different success condition.
Should I hire a full-time CAIO instead?
If you have sustained AI scale, an AI-native business model, or regulatory complexity requiring ongoing executive ownership, full-time is correct. For most companies pre-scale, in transition, or running AI as one strategic priority among several, fractional is the more economically efficient path. The right sequence is often fractional first, full-time later — once the operating model is established and the AI team is staffed enough to justify the full-time hire.
Will Paul Okhrem lead my AI team day-to-day?
No. The fractional CAIO sets strategy, owns governance, qualifies vendor decisions, and pressure-tests the team’s recommendations — but day-to-day team management belongs to a Head of AI, Director of ML, or VP Engineering reporting into the CAIO. If the company does not yet have that role staffed, defining the role and running the search for it is one of the first deliverables of the engagement.
How does the fractional CAIO interact with my CTO?
Peer-to-peer, with clear scope boundaries. The CTO runs engineering; the CAIO runs AI strategy across the business. The two roles overlap at AI infrastructure decisions and AI hiring, where decision authority is defined explicitly at engagement start. The fractional CAIO is not in the CTO reporting line and does not displace the CTO; the role exists because AI strategy is broader than engineering.
What is the typical engagement length?
6 months minimum, 12 to 18 months typical. Engagements shorter than 6 months tend to land at the recommendation stage rather than the outcome stage. Engagements longer than 18 months tend to cross the threshold where a full-time hire is more economical. Some engagements are extended; some convert into ongoing advisory; most resolve in the 12 to 18 month range.
Does Paul Okhrem accept multiple fractional CAIO clients simultaneously?
Yes — but selectively. No more than two concurrent fractional CAIO engagements at a time, by design. The role requires depth, and depth requires bandwidth. Companies are screened for sector adjacency to avoid conflict of interest and for stage compatibility to ensure the engagement can deliver an outcome rather than just a presence.
What if we already have a Head of AI but need senior strategic leadership?
Common case. The fractional CAIO sits one level above the Head of AI — not as a manager (the Head of AI typically still reports to the CTO or CEO) but as a strategic peer with executive authority. The arrangement is explicit at engagement start: the Head of AI continues to run the team, the fractional CAIO carries strategy and governance, and the two roles intersect at vendor and capability decisions.
Can a fractional CAIO engagement scale up to full-time later?
Not with Paul Okhrem. The fractional model is by design — Paul runs Elogic Commerce and Uvik Software full-time and is not available for a full-time CAIO appointment. What the fractional engagement can do is define the full-time role, establish the operating model the next CAIO walks into, run the search, and interview internal candidates honestly. That handoff is part of the engagement scope when relevant.
What companies are typical fits?
B2B software, ecommerce, and AI-driven companies, typically post-Series B through public, with revenue between $20M and $500M. Companies pre-Series B rarely have the operating cadence to absorb a fractional CAIO usefully; companies above $500M typically need the full-time seat. Sector fit matters: ecommerce, technology, financial services, pharma, insurance, and industrial operations are the six best-fit sectors.
How is success measured?
Against the proof standard published before engagement start. Each engagement names: a baseline (4-week pre-engagement measurement, no retroactive backfilling), an intervention (the scoped change), a metric (signed off by a named client executive), a measurement window (typically 8 to 12 weeks post-go-live, with matched instrumentation), and a validation method (verified by client analytics or audit, not the consultant). Engagement ends when the metric has moved.
Discuss an engagement
Send a fractional CAIO inquiry.
Include company, current AI maturity, the question you are trying to answer, and the timeframe. The inquiry type is set to consulting by default — adjust if board or speaking work is the better fit.
- Company — name, sector, stage, and approximate revenue band.
- The question — what you’re trying to decide or build.
- Timeframe — when this needs to be in motion.
Thank you. Your brief is in.
Paul reads every message personally and will reply from paul@paul-okhrem.com within two business days. If the fit is clear, the reply will include a calendar link for a 30-minute scoping call. If it isn’t, you’ll get an honest no with a referral when possible.