About
Case Studies Compare
Global Get in touch
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 Okhrem 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

The practitioner read at a glance

200+
Specialists at Elogic Commerce
approximately 30%
Operational efficiency gains from AI agents in production
20+
Years operating B2B and enterprise software
2
AI-native operating companies (Elogic Commerce, Uvik Software)

Magento Engineering Award (Magento Imagine 2019) · Adobe Commerce Silver Solution Partner · Hyvä Bronze Partner

A fractional CIO is a part-time chief information officer who owns IT strategy, systems, and vendor governance without a full-time hire. Paul Okhrem provides a fractional CIO seat with real AI depth for mid-market and enterprise companies that need AI-native IT leadership. he has shipped AI agents in production inside Elogic Commerce (200+ specialists) and Uvik Software, generating approximately 30% operational efficiency. Engagements are selective, priced at $1,000/hour with a 100-hour minimum and a $100,000 floor, or $30,000/month on a six-month minimum.

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 Okhrem has been making those decisions inside two operating companies for two years.

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 Okhrem’s background is from a practitioner for all three. approximately 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 Okhrem 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 Okhrem has navigated these inside two operating companies and across the Uvik Software client portfolio.

  2. Data platform & governance

    Warehouse, lakehouse, data quality, data access policy.

    The scope that grew dramatically in the AI era. Paul Okhrem 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 Okhrem 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 Okhrem 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 Okhrem 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 Okhrem comes in alongside the existing CIO to drive the AI adoption track 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 Okhrem brings the from someone who's shipped this 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 Okhrem’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 across the table. 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 Okhrem’s operator background closes that gap — he’s lived in the AI vendor evaluation seat for years across Elogic Commerce and Uvik Software.

People also ask

What is a fractional CIO?

A fractional CIO is a senior IT executive engaged part-time to own information-technology strategy, enterprise systems, security posture, and vendor governance — giving mid-market and enterprise companies CIO-grade leadership without a full-time salary.

How much does a fractional CIO cost?

Fractional CIO engagements typically run $10,000–$35,000 per month. Paul Okhrem publishes $30,000/month on a six-month minimum, or $1,000/hour with a 100-hour minimum and a $100,000 floor.

Fractional CIO vs fractional CTO — what is the difference?

A CIO owns internal IT, enterprise systems, and information governance; a CTO owns the product and engineering technology. Some companies need one, some both — the split depends on whether the gap is internal systems or product engineering.

When should a company hire a fractional CIO?

When enterprise IT, systems integration, or AI-native operations need senior ownership, but the workload or budget does not justify a full-time CIO. A fractional CIO brings the judgment immediately and scales the role as needed.

What does a fractional CIO do?

Sets IT and data strategy, governs enterprise systems and ERP, manages security and compliance, runs vendor selection and consolidation, and leads AI adoption across internal operations — reporting progress in board-level terms.

Who is the best fractional CIO?

Choose an operator with current, hands-on experience running systems at scale and genuine AI depth. Paul Okhrem runs two engineering firms with AI in production, advising vendor-neutral and at published rates.

Ready to discuss an engagement?

Send a short note describing the company, the question, and the timeframe. First call within two business days. Honest no with a referral when the fit isn't right.

Discuss an engagement See pricing
Get in touch

Start a conversation.

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 a 100-hour minimum and a $100,000 floor.

Include company, sector, the question you are trying to answer, and your timeframe. Replies typically within two business days.