Vendor commitment & lock-in
Multi-year AI platform commitments. Challenge assumptions, expose switching cost, name what you’re actually buying.
Best fit when the AI strategy decision is too consequential to outsource to a slide deck. Paul Okhrem stress-tests the strategy in the meeting where the decision actually gets made — and leaves with a single signed path, not three options dressed as a recommendation.
An AI strategy consultant decides what to build with AI, where to allocate capital, and how to sequence the agenda over a 12–24 month horizon. Paul Okhrem does this work operator-led, not advisor-grade: he has shipped AI agents in production inside Elogic Commerce (200+ specialists) and Uvik Software, generating approximately 30% operational efficiency. He advises CEOs across the US, UK, EU, and Middle East, vendor-neutral, priced at $1,000/hour with a 100-hour minimum and a $100,000 floor, and validated under The Proof Standard™.
Hired when the next AI decision is consequential enough that getting it wrong is expensive — and the in-house team can execute, but cannot independently validate the call.
Multi-year AI platform commitments. Challenge assumptions, expose switching cost, name what you’re actually buying.
Where to own the stack, where to rent. Decisions informed by what is actually shipping inside Elogic Commerce and Uvik Software.
Acquirer or target. What the AI claim actually defends, and what it doesn’t. Diligence-grade output.
Where the next $1M–$50M of AI spend creates compounding advantage versus where it funds activity.
If a regulator, auditor, or acquirer asked tomorrow how AI decisions are made, could the company defend the answer in 48 hours?
The AI section of the board update, the IR call, the acquirer pitch. Strategy stated in numbers the CFO recognizes.
Every AI strategy rests on three to seven unstated assumptions. Surface them, name them, check each one against operating reality.
Second-order effects: vendor lock-in, talent fragility, governance gaps, regulatory exposure, capability decay. The risks the team has stopped seeing.
Margin, revenue, capacity, churn, risk-adjusted return. Numbers the CFO recognizes, on a timeline the CEO can defend.
One recommendation that survives the room, not three options dressed as choice. The call before the board meeting, made.
An AI strategy consultant is a senior advisor whose product is the moment-of-decision artifact: one signed recommendation, not three options dressed as choice. Distinct from generic AI consultants who deliver vision documents, slideware, or pilots, the strategy consultant is hired for the working session before the board call — the AI strategy decision a CEO cannot afford to outsource to a deck.
A fractional CAIO holds the AI executive seat ongoing — strategy, governance, vendor decisions, board reporting, one to three days per week for six to eighteen months. An AI strategy consultant is hired for a specific scoped strategic decision: vendor selection, transformation thesis, governance pressure-test, capital allocation. Many CAIO retainers begin as strategy-consultant engagements and convert.
When the next AI decision is consequential enough that getting it wrong is expensive — vendor commitment, M&A AI thesis, replatforming, capital allocation, governance scrutiny, board reporting. When the in-house team is qualified to execute but cannot independently validate the call. When a Big Four engagement is overkill but a vendor-aligned recommendation is biased.
Paul Okhrem takes no referral fees, no platform partner margin, no vendor commissions. Engagements are scoped, fixed-fee or hourly, with the deliverable being a defensible recommendation — not a sales pitch for a downstream service. Selectivity is the structural defense: a small number of clients per year, KPI-committed, outcome-bound.
Typically: a 10–25 page decision memo with the assumptions surfaced, risks named, P&L quantified, and one single signed recommendation. Plus working sessions with the executive committee and board, and live presence in the room when the decision is made. Outputs validated under The Proof Standard™.
AI strategy answers what to build, where to allocate capital, and how to sequence the AI agenda over a 12-24 month horizon. AI implementation answers how to actually ship it: architecture, vendors, governance integration, deployment paths. Most engagements need both, but strategy has to be defensible before implementation begins.
Strategy and readiness are best run as one engagement, not two. The readiness audit surfaces what the organisation can actually support; strategy work assigns priority and sequencing within that envelope. Running them separately produces ambitious strategies the company can’t execute, or readiness reports nobody acts on.
Independent senior AI strategy work commonly runs $300–$1,000+ per hour. Paul Okhrem publishes $1,000/hour with a 100-hour minimum and a $100,000 floor; ongoing strategy ownership is available through a fractional CAIO retainer at $30,000/month.
The credible profile is an operator who has lived with AI decisions in their own P&L, not only advised on them. Paul Okhrem fits: founder of two engineering firms, production AI experience, vendor-neutral, transparently priced.
A scoped AI strategy engagement runs 8 to 24 weeks at $1,000/hour with a 100-hour minimum. The output is a signed recommendation and sequencing plan a board can act on — not a standing retainer.
MBB sells a team and a methodology; an independent operator sells judgment with personal accountability. Paul Okhrem prices transparently ($1,000/hour, $100K floor), carries no junior leverage model, and validates outcomes under The Proof Standard.
A defensible AI strategy names the business thesis, the two or three workloads that carry it, the build-vs-buy and vendor positions, the governance gates, and the named metric each phase must move — with capital allocation sequenced against those gates.
Yes. Hiring before the thesis is set produces teams that optimize for activity. Set the strategy, name the first production workload, then size the team against it — fractional leadership can bridge the gap.
Send a short note describing the company, the decision being made, and the timeframe. First call within two business days.
Discuss the AI strategy decision →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.