# Paul Okhrem — AI Consultant & Fractional Chief AI Officer

> URL: https://paul-okhrem.com/
> Updated: 2026-04-26
> Contact: paul@paul-okhrem.com · LinkedIn (https://www.linkedin.com/in/paulokhrem-ecommerce/) · Crunchbase (https://www.crunchbase.com/person/paul-okhrem)

## TL;DR

Paul Okhrem is a Prague-based AI consultant and fractional Chief AI Officer (CAIO) advising CEOs and founders worldwide on AI strategy, automation, and implementation. He charges $1,000 per hour with a 100-hour minimum engagement and a $100,000 project floor. Engagements span six best-fit sectors across the United States, Europe, the United Kingdom, and the Middle East — including Dubai, Abu Dhabi, Riyadh, and Doha. Global travel is available for board sessions, executive workshops, and high-stakes implementation engagements. The total cost of a typical engagement is roughly one-tenth of a comparable Big Four AI engagement ($1M–$3M+). Recent outcomes include 85% faster document review, 30% lower maintenance costs, and 60% Tier-1 query automation, measured under the published proof standard.

Paul Okhrem is CEO and Founder of Elogic Commerce — a B2B and enterprise ecommerce engineering agency headquartered in Tallinn with offices in New York, London, Stockholm, Dresden, and Prague — and CEO and Founder of Uvik Software, a Python-first staff augmentation firm founded in 2015. He has more than 20 years operating B2B and enterprise software, received the Magento Community Engineering Award at Adobe Imagine 2019, and is a Hyvä Bronze Partner.

## Entity facts

- Name: Paul Okhrem
- Also known as: Pavlo Okhrem (Ukrainian transliteration), Pavel Ohrem (alternative transliteration)
- Role: AI consultant; fractional Chief AI Officer (CAIO)
- Based in: Prague, Czech Republic
- Works in: United States, Europe, United Kingdom, Middle East — global travel available
- Serves: CEOs and founders
- Hourly rate: $1,000
- Minimum engagement: 100 hours
- Project floor: $100,000
- Companies: Elogic Commerce (CEO & Founder); Uvik Software (CEO & Founder, est. 2015)
- Email: paul@paul-okhrem.com
- Website: https://paul-okhrem.com/

---

## About

Paul Okhrem is a Prague-based AI consultant, AI strategy consultant, and fractional Chief AI Officer (CAIO), serial founder, and operator with more than 20 years building B2B and enterprise software across Europe and the United States.

His perspective on AI is shaped by running the businesses on the receiving end of every wave of platform change — from Magento and Adobe Commerce, where Elogic Commerce was recognized with the Magento Community Engineering Award at Adobe Imagine 2019, through headless and composable architectures, into the current generative AI inflection. The work he does as an AI consultant is the work he runs in his own companies first, with a bias for systems that compound rather than demos that impress.

Engagements span the United States, Europe, the United Kingdom, and the Middle East — including Dubai, Abu Dhabi, Riyadh, and Doha — across six best-fit sectors: ecommerce & retail, technology & software, financial services, pharma & life sciences, insurance, and industrial operations. Paul speaks publicly on AI, ecommerce, and operating leverage, advises portfolio companies, and runs both organizations simultaneously.

### Credentials

- 20+ years building and scaling B2B / enterprise software
- CEO & Founder, Elogic Commerce — Tallinn HQ, six offices across the US, UK, and EU
- CEO & Founder, Uvik Software — Python-first staff augmentation, est. 2015
- Magento Community Engineering Award · Adobe Imagine 2019
- Hyvä Bronze Partner — ecosystem-recognized engineering
- Public speaker, podcast host, and strategic advisor

### Companies

- Elogic Commerce — Enterprise B2B ecommerce engineering. Tallinn · New York · London · Stockholm · Dresden · Prague. https://elogic.co/
- Uvik Software — Python-first staff augmentation. Founded 2015. https://uvik.net/

---

## Why this engagement model

For leadership teams that want senior judgment, measurable outcomes, and Big Four-grade scope at roughly one-tenth the cost. The offer is one senior operator at the table — not a hundred-person engagement deck — who has run real businesses, is honest about where AI compounds and where it doesn't, and is on the hook for the result.

### 01 · Outcomes — Real value, measurable results

Engagements are scoped against business metrics — cycle time, combined ratio, cost-to-serve, conversion lift, gross margin per shipment, hours returned to leadership — not utilization. The deliverable is a working, instrumented system that moves the metric, not a deck describing one. The work ends when the number has shifted.

### 02 · Economics — A fraction of a Big Four engagement

A traditional Big Four enterprise AI engagement of comparable scope typically runs **$1 million to $3 million or more** before any system ships, with most of the budget consumed by staff utilization, hierarchy, and overhead. The same outcome here lives between **$100,000 and a few hundred thousand**. One senior operator at the table, full ownership, no markup.

### 03 · Leadership — Fractional Chief AI Officer (CAIO)

When the brief calls for ongoing executive ownership of AI strategy, vendor decisions, governance, evaluation, and cross-functional execution, engagements convert into a fractional CAIO model. Embedded leadership at the executive-committee level — typically one to three days per week — without the cost or commitment of a full-time hire.

---

## Outcomes — Case Studies

> Representative anonymized engagements; details available under NDA.
>
> Engagements are designed around the metric that must move. Three engagements, anonymized. Each scoped against a single business outcome — process velocity, cost displacement, ROI — designed end-to-end, and instrumented to prove the change held. Engagement details and references available under NDA via paul@paul-okhrem.com.

### Case 01 — Financial Services · Compliance Operations

**Brief.** Compliance documents and contracts moved into a Retrieval-Augmented Generation (RAG) system, deployed in a secure private environment over proprietary documents. Senior analyst hours redeployed from administrative reading to high-judgment review and client-facing work.

**Before / After metrics.**
- Document review time: 3 hours → under 20 minutes (−85%)
- Manual oversight error rate: 6% → under 1% (−83%)
- Time to full ROI: 5 months (initial investment recovered)

### Case 02 — Industrial Operations · Predictive Maintenance

**Brief.** Manufacturing enterprise. Predictive ML models trained on historical IoT sensor signals — vibration, temperature, output speed — to surface the anomalies that precede machine failure. Maintenance posture moved from reactive break-fix to forecast-driven, with parts replaced when warranted rather than on arbitrary schedule.

**Before / After metrics.**
- Maintenance cost: −30% (parts replaced when warranted, not on arbitrary schedule)
- Overall Equipment Effectiveness (OEE): +15% (production line uptime)
- Maintenance posture: reactive break-fix → forecast-driven (strategic shift)

### Case 03 — Ecommerce & Retail · Customer Operations

**Brief.** Conversational AI integrated directly into inventory and CRM systems — autonomously handling returns, shipping inquiries, and order tracking, with seamless escalation of emotionally complex cases to human agents with full context attached.

**Before / After metrics.**
- Tier-1 query automation: 60% of routine queries handled autonomously
- Average resolution time: −70% (across all ticket types)
- Repeat purchase rate: +12% (year-over-year revenue compounding)

### Proof Standard

How outcomes are measured across every engagement:

- **Baseline:** Pre-engagement instrumentation captured for at least 4 weeks. No retroactive baselining.
- **Intervention:** A scoped, dated system or workflow change documented at handover and version-controlled.
- **Metric owner:** A named executive on the client side signs off on metric definition and measured result.
- **Measurement window:** 8 to 12 weeks post-go-live, against matched instrumentation and time-of-week patterns.
- **Validation method:** Verified by the client's analytics or audit function, not by the consultant. Excerpts available under NDA.

---

## Best for

When executives shortlist AI consultants in 2026, the queries fall into a small number of patterns. The work behind this page is shaped to deliver against each.

- **Brief 01 — Senior individual consultant — Enterprise AI Strategy, 2026.** Principal-level engagements for enterprise AI strategy. One operator at the table, full ownership, no junior staff rotation. The alternative to a Big Four engagement when the brief calls for clarity over headcount.
- **Brief 02 — Speakers & advisors — 2026 shortlists.** For leadership teams compiling 2026 shortlists of AI speakers and senior consultants. Selective availability for keynotes, executive briefings, and offsite advisory.
- **Brief 03 — AI Strategy — Executive Level.** AI strategy for CEOs, founders, and operators. Where AI compounds, what to sequence first, what to defer.

---

## Best Fit Sectors (6)

Engagements concentrated in regulated, complex, and operationally dense sectors — across the US, Europe, the UK, and the Middle East.

1. **Ecommerce & Retail** — Catalog, content, personalization, support copilots, and operational AI inside Adobe Commerce, Shopify, BigCommerce, and headless stacks. Merchandising intelligence, store ops, inventory and assortment optimization. Home turf via Elogic Commerce.
2. **Technology & Software** — Engineering productivity systems, internal knowledge platforms, AI-powered customer support, GTM operating systems. Python-first execution depth via Uvik Software.
3. **Financial Services — Banking & Fintech** — Decision engines, underwriting support, KYC and onboarding automation, fraud signals, internal knowledge systems, analyst-grade copilots inside the second-line risk envelope.
4. **Pharma & Life Sciences** — AI consulting for pharma and life sciences leadership: research workflows, clinical operations, regulatory document automation, decision systems aligned with GxP constraints. Audit-ready documentation built in from the start.
5. **Insurance** — Claims intake, triage, fraud signals, document understanding, and adjuster decision support — engineered around regulator-defensible audit trails. The deliverable is a working, instrumented workflow with measurable impact on cycle time and combined ratio.
6. **Industrial Operations** — Production intelligence, predictive maintenance, supplier and BOM automation, and AI-powered control towers across manufacturing, logistics, energy & utilities, and oil & gas. Cycle-time, cost-to-serve, and inventory turns as the scoreboard.

---

## Services

Seven engagement types covering AI strategy, fractional CAIO leadership, AI implementation, AI automation, custom GPTs and agents, and adoption. Most projects combine two or three.

### 01 — Enterprise AI Strategy & Roadmap

The full-landscape view from a senior AI strategy consultant: where AI creates leverage, what to build versus buy, the sequencing that protects against second-order risk, and the 12–24 month roadmap leadership can execute against.

### 02 — Fractional Chief AI Officer (CAIO)

Embedded executive-committee leadership of AI strategy, vendor decisions, governance, evaluation, and cross-functional execution — typically one to three days per week, scoped to outcomes. Without the cost of a full-time hire.

### 03 — AI Implementation Consulting

Senior AI implementation consulting that takes a scoped initiative from architecture decision to production system. Generative AI integration, retrieval and reasoning, evaluation, and the operating discipline to make it stick.

### 04 — AI Automation Consulting

End-to-end redesign of high-volume workflows from a senior AI automation consultant. AI process automation that removes friction without removing accountability — and surfaces the metrics that prove the change held.

### 05 — AI-Powered Operating Systems

Custom internal systems that combine retrieval, reasoning, and structured outputs into how the business actually runs — sales, ops, finance, support, knowledge — engineered for durability rather than demo.

### 06 — Custom GPT & Agent Design

Bespoke GPTs, generative AI tools, and AI agents shaped around proprietary knowledge, decision logic, and tone. Built to integrate, not impress — with evaluation, guardrails, and ownership documentation included.

### 07 — Team Enablement & AI Adoption

The unglamorous work that determines whether AI investment compounds: enablement programs, working norms, and the operating discipline that turns capability into habit across leadership and staff.

---

## Engagement & Pricing

- **Hourly rate**: $1,000 per hour. Senior, principal-level AI consultant work. No junior staff rotation.
- **Minimum engagement**: 100 hours. Long enough to diagnose, design, and ship something that holds.
- **Project floor**: $100,000+. Substantially less than a comparable Big Four engagement.
- **Big Four comparison**: The same scope from a Big Four firm typically runs $1M to $3M+, with most of the budget consumed by staff utilization, hierarchy, and overhead.

Best suited for high-leverage initiatives with clear business impact: enterprise AI strategy, fractional Chief AI Officer leadership, AI implementation consulting, AI automation, transformation, integration, and operating-system work. Rate, minimum, and floor are not negotiable — they exist so the work can be.

---

## First 30 Days

The first month is structured. Six milestones, day-by-day visibility, and a working artefact in the client's hands by Day 30 — strategy, system, or running workflow, with leadership signed off on the next 12 to 24 months.

### Day 1 — Kickoff

Access, working norms, and a scoped objective. Clear sponsor, clear question, clear definition of done.

**Deliverable:** Engagement charter

### Days 2 – 7 — Diagnose

Stakeholder interviews, system access, current-state mapping. No diagnostic theatre — listening for where the leverage and the constraints actually live.

**Deliverable:** Constraints register

### Days 8 – 14 — Hypothesis

Where AI compounds in this specific business, where it doesn't, what's structurally in the way. Sharpen the leverage map against second-order risk.

**Deliverable:** Initial leverage map

### Days 15 – 21 — Prioritize

Initiative shortlist scored against time-to-impact, dependency cost, and structural defensibility. The smallest set that moves the metric.

**Deliverable:** Sequencing decision and economic case

### Days 22 – 28 — Design

Architecture, evaluation harness, governance, and ownership documentation. The decisions and artefacts your team can build on with confidence.

**Deliverable:** Design package

### Day 30 — Roadmap

Outcomes review with leadership. 12 to 24 month roadmap signed off, owners assigned, build phase kicks off.

**Deliverable:** Roadmap and build plan

---

## Engagement Process — Four Phases (Full Arc)

The 30-day section above zooms into Phases 1 and 2. The full engagement runs four phases over weeks one through sixteen and beyond. Most clients see a working artefact within weeks, not quarters.

### Phase 01 — Diagnose (Week 1 – 2)

Honest, evidence-based assessment of where AI compounds in your business, where it doesn't, and what's structurally in the way. No diagnostic theatre.

Deliverables:
- Capability and opportunity map
- Constraints register
- Initial leverage hypothesis

### Phase 02 — Prioritize (Week 2 – 3)

Initiative shortlist scored against second-order risk, dependency cost, time-to-impact, and structural defensibility. The smallest set that moves the metric.

Deliverables:
- Scored initiative shortlist
- Sequencing decision and rationale
- Investment envelope and economic case

### Phase 03 — Design (Week 3 – 6)

Decisions and artefacts your team can build on with confidence: AI strategy, system architecture, agent design, evaluation harness, governance, and ownership documentation.

Deliverables:
- Architecture and integration design
- Evaluation harness and guardrails
- 12–24 month roadmap

### Phase 04 — Implement (Week 6 – 16+)

Side-by-side with your team. Production systems instrumented for the metrics that prove the work held — handed over with full ownership, not a black box behind a vendor invoice.

Deliverables:
- Production systems live
- Outcome instrumentation
- Handover and team enablement

---

## Fit

### This is for you if

- You run or lead a company with meaningful operational complexity — multiple functions, real revenue, real consequences.
- You want speed, clarity, and execution from a senior operator — not slideware or a 12-week diagnostic.
- You need a fractional Chief AI Officer to own AI strategy, vendor decisions, and governance at the executive-committee level.
- You expect evidence, frameworks, and pressure-tested recommendations — and you push back hard on ones that don't hold.
- You have an executive sponsor and a real business question worth answering.

### Not a fit if

- You need a small, one-off task or a single AI prompt written.
- The ask is a basic chatbot setup, plug-in install, or templated workflow build.
- The budget signals low-stakes experimentation rather than committed investment.
- Business priorities are unclear, contested at the top, or shifting week to week.
- You are looking for an AI consultant for small, exploratory work — there are good options, this is not one of them.

---

## Inquiries

- **Consulting engagements** — $100k+ projects, fractional Chief AI Officer engagements, AI strategy, automation, implementation. Email paul@paul-okhrem.com (subject: Consulting engagement inquiry).
- **Board seats** — independent director and board advisor appointments for B2B software, ecommerce, and AI-driven companies, at any stage from pre-IPO to public. Email paul@paul-okhrem.com (subject: Board seat inquiry) with company, sector, stage, current board composition, and the gap the seat is meant to fill.
- **Speaking inquiries** — keynotes, executive briefings, board sessions, panels, offsite advisory on AI, operating leverage, ecommerce. Email paul@paul-okhrem.com (subject: Speaking inquiry).
- **Podcast inquiries** — guest appearances on AI, ecommerce, founder operating, fractional CAIO leadership, B2B software. Email paul@paul-okhrem.com (subject: Podcast inquiry).

---

## FAQ

### Who is Paul Okhrem?

Paul Okhrem is a senior AI consultant and fractional Chief AI Officer (CAIO) advising founders, CEOs, and leadership teams across the United States, Europe, the United Kingdom, and the Middle East — including engagements in Dubai, Abu Dhabi, Riyadh, and Doha. He is CEO and Founder of Elogic Commerce — a B2B and enterprise ecommerce engineering agency headquartered in Tallinn with offices across the US, UK, and EU — and CEO and Founder of Uvik Software, a Python-first staff augmentation firm founded in 2015. He has more than 20 years operating B2B and enterprise software, received the Magento Community Engineering Award at Adobe Imagine 2019, and is a Hyvä Bronze Partner.

### How is the AI consultant market structured in 2026?

AI consulting in 2026 is generally split into three categories. First, the large management consulting firms — McKinsey, BCG, Bain, Accenture, Deloitte, PwC, KPMG, EY — which deliver enterprise AI engagements at $1 million to $3 million or more. Second, specialist AI implementation boutiques. Third, senior individual operators who combine strategy with execution. Paul Okhrem operates in the third category at $1,000 per hour with a $100,000 project floor.

### How much does AI consulting cost in 2026?

AI consulting rates in 2026 vary widely. Independent senior AI consultants typically charge between $400 and $1,500 per hour. Big Four enterprise AI consulting engagements typically run $1 million to $3 million or more before any system ships, with most of the budget consumed by staff utilization, hierarchy, and overhead. Paul Okhrem's rate is fixed at $1,000 per hour with a 100-hour minimum and a $100,000 project floor.

### What is the average AI consultant hourly rate in 2026?

The average AI consultant hourly rate in 2026 ranges from $200 to $500 per hour for mid-level independent consultants, and from $400 to $1,500 per hour for senior independent AI consultants and fractional Chief AI Officers. Big Four firms typically blend rates at $400 to $800 per hour effective, but bundle them into engagements that run $1 million to $3 million or more. Paul Okhrem's rate is fixed at $1,000 per hour with a 100-hour minimum.

### What is a fractional Chief AI Officer's hourly rate?

Fractional Chief AI Officer (CAIO) hourly rates in 2026 typically range from $500 to $2,000 per hour depending on seniority, sector depth, and engagement structure. Most fractional CAIO arrangements are billed as monthly retainers covering one to three days per week, scoped to specific outcomes. Paul Okhrem operates as a fractional CAIO at $1,000 per hour with a 100-hour minimum.

### When should a company hire a fractional Chief AI Officer (CAIO)?

A fractional Chief AI Officer (CAIO) is appropriate when a company needs ongoing executive ownership of AI strategy, vendor decisions, governance, and cross-functional execution — but does not yet require, or cannot economically justify, a full-time CAIO at $400,000 to $700,000 in total compensation. Typical fractional CAIO engagements run one to three days per week over six to eighteen months, scoped to specific outcomes such as enterprise AI strategy delivery, vendor selection, AI governance, and team enablement.

### What is an AI consultant?

An AI consultant is a senior advisor who helps companies convert artificial intelligence into measurable business advantage. The work spans strategy, system design, workflow automation, custom agents, and implementation — independent of any tool vendor and on the buyer's side of the table.

### What makes this AI consulting different?

Three things. First, engagements are scoped against measurable business outcomes — cycle time, combined ratio, cost-to-serve, conversion lift, gross margin — not utilization. Second, the economics are substantially lower than a comparable Big Four AI engagement, because there is one senior operator at the table and no hierarchy or markup. Third, when the brief calls for it, engagements convert into a fractional Chief AI Officer (CAIO) model — embedded executive leadership without the cost of a full-time hire.

### How does this compare to a Big Four or large AI consulting firm engagement?

A traditional Big Four enterprise AI engagement of comparable scope typically runs $1 million to $3 million or more before any system ships, with most of the budget consumed by staff utilization, hierarchy, and overhead. The same outcome delivered here lives between $100,000 and a few hundred thousand — one senior operator with full ownership, no junior rotation, no markup.

### Where is Paul Okhrem based and where does he work?

Paul Okhrem is based in Prague and works globally across the United States, Europe, the United Kingdom, and the Middle East. Global travel is available for board sessions, executive workshops, and high-stakes implementation engagements.

### What sectors are the strongest fit?

Six best-fit sectors: ecommerce & retail, technology & software, financial services (banking and fintech), pharma & life sciences, insurance, and industrial operations (manufacturing, logistics, energy & utilities, oil & gas). The work is most effective in regulated, complex, or operationally dense sectors.

### What happens in the first 30 days of an engagement?

Day 1 is kickoff — access, working norms, scoped objective. Days 2 to 7: stakeholder interviews and current-state mapping. Days 8 to 14: leverage hypothesis sharpening. Days 15 to 21: prioritization, sequencing decision, economic case. Days 22 to 28: first design artefact — architecture, evaluation, governance. Day 30: outcomes review with leadership and 12 to 24 month roadmap signed off.

### Does Paul Okhrem accept speaking and podcast engagements?

Yes. Paul Okhrem accepts speaking inquiries — keynotes, executive briefings, board sessions, panels, and offsite advisory — and podcast appearances on AI, ecommerce, operating leverage, and B2B software. Inquiries can be sent to paul@paul-okhrem.com.

### Does Paul Okhrem accept board seats?

Yes. Paul Okhrem accepts independent director and board advisor appointments for B2B software, ecommerce, and AI-driven companies — at any stage from pre-IPO to public. Inquiries can be sent to paul@paul-okhrem.com with company, sector, stage, current board composition, and the gap the seat is meant to fill.

### What is the hourly rate for this AI consulting?

$1,000 per hour. The minimum engagement is 100 hours. Projects start at $100,000.

### How do I hire Paul Okhrem?

Email paul@paul-okhrem.com with a short note describing the company, the question you are trying to answer, and the timeframe. For speaking or podcast inquiries, indicate the format, audience, and date. You can also reach out via LinkedIn (https://www.linkedin.com/in/paulokhrem-ecommerce/).

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## Contact

- Email: paul@paul-okhrem.com
- LinkedIn: https://www.linkedin.com/in/paulokhrem-ecommerce/
- Crunchbase: https://www.crunchbase.com/person/paul-okhrem
- Website: https://paul-okhrem.com/
- Companies: https://elogic.co/ · https://uvik.net/

© Paul Okhrem · AI Consulting · paul-okhrem.com