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Fractional executive · AI-driven

AI-driven fractional CIO.
Information systems and data platforms governed by an AI-fluent operator — not a pre-AI IT veteran.

Paul Okhrem takes one to three fractional CIO engagements per year for mid-market and enterprise companies adopting AI in information systems. The fractional CIO category has been dominated by IT veterans whose careers were built before LLM systems existed; they govern infrastructure well and AI poorly. Paul has run internal AI deployment at Elogic Commerce and Uvik Software for two years — the operating context most fractional CIOs lack. Outcomes are validated under The Proof Standard™.

$25K/month from 1–3 days/week 6–18 month engagement AI-fluent

Best fit when the fractional CIO must understand AI as a first-class tool, not a future risk. Most fractional CIOs are excellent at IT governance, vendor management, and infrastructure — the traditional CIO scope. The category gap is CIOs who can decide which AI tools deserve internal adoption, which AI vendors are defensible, and how AI reshapes data governance and security posture. Paul has been making those decisions inside two operating companies for two years.

What it is

What does a fractional CIO actually do?

A fractional Chief Information Officer is a senior IT and information systems executive embedded part-time at the leadership table — typically one to three days per week over six to eighteen months — owning the information systems, data platform, vendor governance, and IT investment decisions a company is too lean to justify a full-time CIO for.

The fractional CIO model fills the gap between “company has an IT manager” and “company can justify a full-time CIO at $300K-$500K fully loaded.” In 2026, that gap is widening rather than closing — AI adoption is forcing information systems decisions on companies that haven’t needed a CIO seat at the executive table before, and the buying decisions are too consequential to delegate to an IT manager and too expensive to defer until a permanent hire lands.

The fractional CIO seat is structurally a real seat: weekly executive team participation, board-level IT reporting where required, vendor selection authority within budget, security and compliance posture ownership. The structural difference from a traditional CIO is committed time (one to three days per week instead of five) and committed duration (a six to eighteen month engagement window). Pricing reflects that — typically $12K-$45K per month versus $300K+ fully-loaded annual cost for a permanent CIO at this seniority.

The output is executive-grade IT decisions, not delivery work. The fractional CIO does not configure systems, does not manage individual IT staff day-to-day, does not own ticketing or service desk operations. The output is the information systems strategy a CEO and CFO would otherwise need to navigate without senior judgment in the room — vendor selection, AI integration into operations, data platform decisions, security posture, regulatory readiness.

When to hire one

Three scenarios where a fractional CIO is the right answer.

Each scenario has alternatives. The fractional CIO is correct when the alternatives don’t fit the operating reality.

Outgrowing the IT manager

Symptom: $20M-$80M revenue, IT decisions piling up at the COO or CFO level, the IT manager is excellent operationally but the role increasingly requires executive judgment on AI, data platforms, and vendor commitments.

Alternative: promote the IT manager, hire a permanent CIO, or defer.

Why fractional first: the company often hasn’t yet defined what a great CIO hire looks like for its specific industry and stage. A fractional engagement clarifies the role definition, sets up the operating cadence, and produces a brief for the eventual permanent search.

CIO without AI fluency

Symptom: existing CIO is excellent at infrastructure, security, and vendor management — but openly cautious on AI adoption, and the company is making AI-shaped commitments across operations.

Alternative: replacing the CIO, or training the existing one.

Why fractional alongside: Paul comes in alongside the existing CIO with explicit AI-decision authority on internal AI deployment and data platform decisions. CIO retains operational ownership; fractional CIO owns AI-shaped IT decisions. Lower-friction than replacement.

PE-backed integration

Symptom: private-equity sponsor has acquired or merged companies. IT systems consolidation, AI governance for the combined entity, and vendor rationalization are simultaneously on the agenda.

Alternative: dedicated full-time integration CIO from PE’s playbook.

Why fractional sometimes fits better: integration phases are time-bounded by definition. A fractional CIO with a six to twelve month integration scope and a clean exit at the end aligns better with the integration timeline than a permanent hire who needs a path beyond integration.

Pricing reality

How much does a fractional CIO cost?

The market range for a senior fractional CIO in 2026 is roughly $12,000 to $45,000 per month for one to three days per week of executive time. Rates are slightly lower than fractional CTO market rates because demand is somewhat lower, not because the work is lighter.

The lower end ($12K-$18K/month). Typically a senior IT director or CIO from a small enterprise who has stepped out to consult. Strong on operations and vendor management. Variable on AI fluency — many in this range are still in “learning AI” mode personally.

The middle ($18K-$30K/month). Former CIO from a successful exit or industry rotation. Pattern-recognition on enterprise IT problems is strong. AI fluency varies widely — some have led AI integration in IT, others have observed it from the sidelines.

The upper end ($30K-$45K/month). Multi-time CIO or operating CTO/CIO with current production AI deployment experience. Common engagement profile: PE-backed integrations, regulated-industry AI rollouts, data platform consolidations with AI governance scope.

Paul’s pricing: $25,000/month for the standard one to three days per week engagement, with a six-month minimum. Position fits the upper-middle of the market — the rate reflects current operator status (CEO/Founder of Elogic Commerce and Uvik Software, both shipping AI in production) plus the AI-driven specialization.

Buyer economics on the fractional CIO model are straightforward when the alternative is a full-time hire: a permanent CIO at this seniority runs $250K-$400K base plus equity. Fractional engagement at $300K annual without equity dilution and without a 6-month ramp lands meaningfully favorably for the company. The economics flip if and only if the role fundamentally requires five-day-a-week presence — at which point the full-time hire is correct, and the fractional engagement’s diagnostic value (clarifying what the permanent hire should look like) is its primary contribution.

Why AI-driven CIO

The fractional CIO market is built on pre-AI assumptions.

Most fractional CIOs available today were senior IT executives in the 1990s and 2000s — ERP rollouts, datacenter migrations, IT outsourcing, cybersecurity programs. The category is excellent at the IT scope it was built for. AI is a different scope.

Three things change in the AI-driven CIO seat. First, vendor decisions: every IT vendor is now “AI-powered” in their marketing — the CIO has to evaluate which claims are real and which are wrappers. Second, data governance: AI assumes access to data the company hasn’t historically governed centrally; the CIO inherits the data governance scope. Third, internal AI deployment: the operations functions (finance, HR, customer service, IT support) are being rebuilt around AI agents — the CIO governs what gets deployed, with what controls, and at what risk.

Paul’s background is operator-grade for all three. ~30% operational efficiency improvement at Elogic Commerce and Uvik Software, measured under The Proof Standard™, came largely from internal AI deployment in exactly the operations the CIO seat owns. Vendor decisions across AI infrastructure, data tooling, and SaaS replacements have been made before, with documented outcomes.

The fractional CIO product Paul sells is information systems leadership for the AI era, not retrofitted IT veteran credentials.

What the role covers

The fractional CIO seat at your company.

Each engagement is scoped to the specific information systems decisions the company is making over 6 to 18 months. The role is the active CIO seat for the engagement window, not a placeholder.

  1. Information systems strategy

    The roadmap for the systems your company actually runs on.

    ERP posture, CRM strategy, internal tooling consolidation, replatforming decisions, the make-or-buy calls on internal applications. Paul has navigated these inside two operating companies and across the Uvik client portfolio.

  2. Data platform & governance

    Warehouse, lakehouse, data quality, data access policy.

    The scope that grew dramatically in the AI era. Paul brings active vendor benchmarks across data platforms (Snowflake, Databricks, BigQuery, native cloud warehouses) and the operator perspective on what works versus what looks good in a sales demo.

  3. IT vendor governance

    SaaS audit, AI vendor evaluation, contract negotiation, consolidation calls.

    Most mid-market companies have accumulated 80 to 200 SaaS subscriptions, of which roughly half are redundant or underused. The fractional CIO drives the consolidation while introducing AI vendors that genuinely change operating economics. Paul keeps an active vendor map across consulting and operating engagements.

  4. Internal AI deployment

    AI agents in finance, HR, customer service, IT support — with governance.

    The decisions that compound: which operations get AI-augmented first, which vendors, what controls, what audit trail. Paul has shipped these inside Elogic Commerce and Uvik Software with measurable operational impact — not pilot programs that never got past the deck.

  5. Security & compliance posture

    SOC 2, ISO 27001, NIST AI RMF, GDPR, sector-specific frameworks.

    The compliance scope expanded by AI. Paul represents IT and AI governance to auditors, board audit committees, and acquirers in due diligence. The output meets institutional standards for the audit trail, not just the executive summary.

When to hire

Three patterns of when this engagement makes sense.

  1. You have outgrown an IT manager and AI is forcing the next decision.

    Mid-market companies (typically $50M–$500M revenue) where the IT manager has been running the function effectively but the company now needs senior governance over AI vendor decisions, data platform investment, and internal AI deployment. A fractional AI-driven CIO buys 6 to 18 months of senior judgment while the company decides whether to hire a full-time CIO.

  2. Your CIO is excellent at infrastructure but cautious on AI.

    The most common 2026 pattern in regulated industries. The existing CIO is appropriately careful about AI risk. The board is pushing for AI adoption at pace. Paul comes in alongside the existing CIO to drive the AI adoption track specifically, while the existing CIO retains the broader IT seat. Engagement letter defines the boundary.

  3. You’re in PE-backed integration and AI governance is in scope.

    Post-acquisition integration where the IT scope spans multiple acquired entities and AI governance has to be standardized across them. Paul brings the operator-grade view of how to consolidate without breaking existing operations — with AI as a first-class consolidation lever, not a separate workstream.

Frequently asked

About the fractional CIO engagement.

What is an AI-driven fractional CIO?

An AI-driven fractional CIO is a part-time Chief Information Officer who treats AI as a primary tool for transforming information systems, data platforms, and internal operations — not as a separate buzzword bolted onto traditional IT. The fractional CIO category was historically dominated by IT-veteran fractional executives. The AI-driven variant exists because mid-market and enterprise companies increasingly need someone who can decide where AI replaces, augments, or governs existing IT systems.

How much does a fractional CIO cost?

Paul’s fractional CIO retainers start at $25,000 per month for one to three days per week, six to eighteen months. The fractional CIO mode is priced slightly below the fractional CTO mode because the engagement scope is narrower — focused on information systems, data, and IT vendor governance rather than the full engineering org.

How is a fractional CIO different from a fractional CTO?

Fractional CTOs own engineering — building products, scaling engineering teams, system architecture for products and platforms. Fractional CIOs own information systems — internal IT, data infrastructure, vendor management, IT governance, security posture, and AI adoption across internal operations. Some companies have one role, some have both. The CIO seat is more relevant for companies whose primary technology challenge is operational rather than product.

What kind of companies hire a fractional CIO?

Mid-market companies ($50M to $500M revenue) that have outgrown an IT manager but don’t yet justify a full-time CIO. Enterprise companies between CIOs. PE-backed companies in the post-acquisition integration phase. Family businesses making the AI transition without a tech-native executive in the room. The common pattern: the company has real IT spend, real vendor complexity, real data assets — and needs senior governance without a full-time hire.

What does a fractional CIO actually do?

Information systems strategy and roadmap. IT vendor governance — what to keep, what to replace, what to consolidate. Data platform decisions — warehouse, lakehouse, data governance, data quality. AI adoption across internal operations (finance, HR, ops, customer service). Cybersecurity posture and compliance frameworks (SOC 2, ISO 27001, NIST AI RMF). Board reporting on technology risk and AI risk. Hiring senior IT and data leaders. Coordinating with the CTO if one exists, or owning the full technology seat if not.

Why an AI-driven fractional CIO specifically?

Most fractional CIOs available in the market come from IT-veteran backgrounds. They’re excellent at the traditional CIO seat — vendor management, IT governance, security, infrastructure. They’re often weaker on AI-driven decisions: which AI tools deserve internal adoption, which AI vendors are actually defensible, how AI changes data governance posture, how to evaluate AI-driven SaaS replacements for legacy systems. Paul’s operator background closes that gap — he’s lived in the AI vendor evaluation seat for years across Elogic Commerce and Uvik Software.

When should you hire a fractional CIO versus a permanent CIO?

The fractional CIO is correct when the workload doesn’t require five-day-a-week presence and the company hasn’t yet defined what the permanent CIO role looks like for its specific stage. Permanent hire signals: an IT organization of 25+ people, daily executive participation required, the role requires owning team culture as a primary deliverable, or the company is post-Series C with a stable executive structure. Fractional often serves as the diagnostic that clarifies which the company actually needs.

Can a fractional CIO replace a full-time CIO?

For mid-market companies with stable IT leadership underneath the executive layer, yes — particularly when the CIO seat is primarily about strategic IT investment decisions, vendor governance, and security posture rather than day-to-day operational ownership. For companies in active digital transformation requiring continuous executive presence, no — that role requires full-time engagement.

Where does Paul Okhrem take fractional CIO engagements?

Paul is based in Prague and takes fractional CIO engagements globally, with active client geography across the United States (New York hub), the United Kingdom (London), continental Europe, and the Middle East. Engagements run hybrid — one to two on-site days per quarter, with the rest of the executive participation by video. See where Paul works globally.

Does a fractional CIO own AI strategy?

An AI-driven fractional CIO owns AI strategy specifically as it relates to information systems and internal operations — AI integrated into ERP, CRM, finance systems, customer service, and IT operations. For company-wide AI strategy spanning product, GTM, and customer-facing AI, the right role is a fractional Chief AI Officer rather than a CIO. Read more on the fractional CAIO engagement.

What is a CIO versus a CTO?

The CIO traditionally owns information systems serving the business internally — ERP, CRM, finance systems, employee productivity tools, IT operations, and increasingly the data platform. The CTO traditionally owns technology serving the customer externally — product engineering, infrastructure for customer-facing systems, R&D. The boundary blurs in companies where data platforms, AI, and customer-facing systems are tightly coupled. Some companies have both seats; some have one CTO who covers both; some have a CIO with no separate CTO.