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™.
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.
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.
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.
-
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.
-
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.
-
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.
-
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.
-
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.
Three patterns of when this engagement makes sense.
-
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.
-
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.
-
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.
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.