Mid-market CEOs ($50M–$500M)
Building a digital operating model for the next decade. AI-native, ERP-aware, commerce-led. Cannot afford Big Four overhead, will not accept boilerplate strategy.
Most digital transformation programs run on slideware and stall on operating reality. Paul Okhrem runs operator-led transformation engagements: replatforming, ERP integration, B2B commerce, and AI-native operating model design — with executive oversight from someone who currently runs the businesses you're trying to look like.
Magento Engineering Award (Adobe Imagine 2019) · Adobe Solution Partner · Hyvä Bronze Partner
Best fit for mid-market and enterprise companies where digital transformation is a P&L decision, not an IT initiative. Particularly strong for B2B commerce, ERP-heavy industries, and operators with ambition larger than their internal capability stack.
Building a digital operating model for the next decade. AI-native, ERP-aware, commerce-led. Cannot afford Big Four overhead, will not accept boilerplate strategy.
Multiple transformation workstreams running in parallel. Need a senior independent who can stress-test the architecture and sequence.
Operating partners who need transformation oversight on portfolio companies. AI integration, commerce posture, and exit-readiness baked in.
Most digital transformation consultants are former Big Four advisors who never operated a transformed business. Paul currently runs two — and ships AI agents in production inside both.
Every transformation now lives or dies on the AI integration plan. AI Revenue Architecture, Commerce Intelligence Layer, agentic readiness — see AI Growth Readiness Audit™.
Salesforce Commerce Cloud, Adobe Commerce, Shopify Plus, BigCommerce, commercetools, headless. Build-vs-buy calls anchored in delivery reality through Elogic.
SAP, NetSuite, Microsoft Dynamics 365, Visma, Odoo, Infor, Epicor. The integration layer is where transformation programs most often die.
Team structure, vendor governance, build-vs-buy discipline, board reporting. Senior judgment, not theatre.
The transformation ends with your team owning the operating model. No vendor lock-in, no rebuild dependency.
Diligence support, integration architecture, AI-readiness in the data room. Operator skepticism on vendor claims.
| Option | Annual cost | Time to value | Best for |
|---|---|---|---|
| Big Four (Deloitte, Accenture, EY, PwC) | $1M–$5M+ per program | 8–16 weeks to first deliverable | Regulated sectors, audit-defensible scale |
| Paul Okhrem (operator-led) | $100K–$1.5M (engagement total) | 2–4 weeks from contract | Mid-market and enterprise where speed and senior judgment matter |
| Vendor-aligned solution architects | Bundled with platform license | Within vendor scope | Companies that have chosen platform — need execution |
| Internal hire (Chief Digital Officer) | $300K–$700K total comp + 6–9 month hire | 6–9 months from search start | Sustained scale with permanent mandate |
| Phase | Weeks | Output |
|---|---|---|
| 1. Diagnose | 1–2 | Capability map, leverage hypothesis, constraints register |
| 2. Prioritize | 2–3 | Sequencing decision with economic case |
| 3. Design | 3–6 | Architecture, governance, evaluation, 12–24 month roadmap |
| 4. Implement | 6–16+ | Production systems live, instrumented, owned by the client team |
Send a short note describing the company, the transformation question, and the timeframe. First call within two business days. If the fit is right, scoping document follows within five.
Discuss an engagement →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.