Vendor commitment & lock-in
Multi-year AI platform commitments. Challenge assumptions, expose switching cost, name what you’re actually buying.
AI strategy consulting · For CEOs & boards · From the operating side
AI strategy consultant for CEOs.
Best fit when the AI strategy decision is too consequential to outsource to a slide deck. Paul 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.
Where this fits
The AI strategy decisions a CEO can’t outsource to a deck.
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.
Build vs. buy on AI infrastructure
Where to own the stack, where to rent. Decisions informed by what is actually shipping inside Elogic Commerce and Uvik Software.
M&A AI thesis
Acquirer or target. What the AI claim actually defends, and what it doesn’t. Diligence-grade output.
AI capital allocation
Where the next $1M–$50M of AI spend creates compounding advantage versus where it funds activity.
Governance challenge
If a regulator, auditor, or acquirer asked tomorrow how AI decisions are made, could the company defend the answer in 48 hours?
Board reporting & AI thesis
The AI section of the board update, the IR call, the acquirer pitch. Strategy stated in numbers the CFO recognizes.
How it works
The four-step decision framework.
Argue against the assumptions
Every AI strategy rests on three to seven unstated assumptions. Surface them, name them, check each one against operating reality.
Expose the hidden risk
Second-order effects: vendor lock-in, talent fragility, governance gaps, regulatory exposure, capability decay. The risks the team has stopped seeing.
Quantify the P&L impact
Margin, revenue, capacity, churn, risk-adjusted return. Numbers the CFO recognizes, on a timeline the CEO can defend.
Force clarity on one path
One recommendation that survives the room, not three options dressed as choice. The call before the board meeting, made.
Why from someone who's shipped this
Why the strategy work is operator-led, not advisor-grade.
- AI agents in production inside Elogic Commerce (200+ specialists) and Uvik Software, generating ~30% operational efficiency gains
- Magento Community Engineering Award, Adobe Imagine 2019
- Decisions Paul advises on are decisions he has lived with the consequences of inside his own P&L
- Outcomes validated under The Proof Standard™ — the published five-component measurement protocol
Frequently asked
Common questions about this engagement.
What is an AI strategy consultant?
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 call — the AI strategy decision a CEO cannot afford to outsource to a deck.
How is this different from a fractional CAIO engagement?
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 actually try to break, capital allocation. Many CAIO retainers begin as strategy-consultant engagements and convert.
When should a CEO hire an independent AI strategy consultant?
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.
How is independence guaranteed?
Paul 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.
What does an engagement output look like?
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™.
What is the difference between AI strategy and AI implementation?
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.
How do you do AI strategy and readiness assessment together?
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.
Discuss this engagement.
Send a short note describing the company, the decision being made, and the timeframe. First call within two business days.
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