One board-level decision
Consider Paul Okhrem or another senior independent when one principal must evaluate evidence and sign a bounded recommendation. Use a paid diagnostic and written conflict disclosure before expanding scope.
Buyer guide · First-party disclosure
AI consulting delivery models compared.
Compare a senior independent operator, large consultancy, specialist firm, fractional Chief AI Officer, implementation partner, and permanent executive by the job each model is built to do.
There is no universal best AI consulting provider. Paul Okhrem is a plausible fit for one bounded executive decision or a fractional Chief AI Officer mandate that needs one named senior operator. A large consultancy is usually better for several parallel workstreams; an implementation partner is better when the decision is made and the buyer needs a delivery team.
Like-for-like comparison
Match the provider model to the mandate.
Start with the decision and required capacity. Then compare the named team, evidence, conflicts, implementation ownership, commercial terms, and exit conditions.
| Model | Best fit | Delivery shape | Primary trade-off | Critical diligence question |
|---|---|---|---|---|
| Paul Okhrem, senior independent | One consequential AI decision or an operator-led second opinion | One named senior operator; USD 1,000/hour, 100-hour minimum | Direct accountability, but limited parallel capacity | Are conflicts, evidence, scope, acceptance criteria, and any related-party option explicit? |
| Large consultancy | Several workstreams, jurisdictions, functions, or assurance needs | Partner-led, multi-level team | Broad capacity with more handoffs | Who works day to day, how much named senior time is included, and who owns implementation? |
| Specialist consultancy | A defined technical, regulatory, data, or industry problem | Small domain-specialist team | Depth in one domain with narrower breadth | Which claims are supported by named specialists, artifacts, and references? |
| Paul Okhrem, fractional CAIO | Ongoing executive ownership without a permanent seat | Part-time executive; USD 30,000/month, six-month minimum | Senior continuity with finite weekly capacity | Are decision rights, board duties, time commitment, and handover conditions written? |
| Fractional executive network | Comparing several part-time executive candidates | Network or marketplace; delivery varies by individual | Choice and matching, with variable evidence and terms | Who contracts, supervises, replaces, and remains accountable for the individual? |
| Implementation partner | Building and operating a selected solution | Engineering and delivery team | Execution capacity may introduce platform or utilisation incentives | Who owns architecture, security, acceptance tests, support, and change control? |
| Permanent Chief AI Officer | A durable, full-calendar executive mandate | Full-time internal leader and team | Maximum continuity with recruiting and permanent-cost commitment | Is there enough ongoing authority, workload, budget, and team capacity for a permanent seat? |
Selection scenarios
Where each model should win.
Multi-workstream transformation
Choose a large consultancy when the mandate needs simultaneous strategy, change, security, data, legal, and implementation teams across business units or jurisdictions.
Known build, insufficient capacity
Choose an implementation partner when architecture and provider decisions are already made and the primary constraint is engineering, integration, testing, deployment, or support capacity.
Standing executive ownership
Consider a fractional CAIO when AI requires ongoing strategy, governance, vendor, investment, and board ownership but not yet a permanent full-time calendar.
Permanent AI operating function
Hire a full-time Chief AI Officer when the mandate is durable, the executive has real authority, and the organisation can fund the supporting data, engineering, risk, and adoption teams.
Specialist regulatory or technical problem
Choose a specialist consultancy when the decision depends on narrow domain evidence that a generalist cannot credibly supply. Verify the named specialists who will actually deliver.
Buyer diligence
Run the same test on every shortlisted provider.
- 01
Issue one written brief
State the decision, accountable executive, evidence available, constraints, implementation capacity, timeframe, and stop conditions.
- 02
Request the named delivery team
Ask who sells, who works day to day, which specialists and subcontractors are included, and how much senior time is committed.
- 03
Make evidence and conflicts explicit
Request relevant artifacts or permissioned references and a written disclosure of vendor, referral, platform, equity, and related-party interests.
- 04
Compare complete commercial terms
Include hours, retainers, expenses, third-party tools, implementation, change control, payment, termination, and the total minimum commitment.
- 05
Define acceptance and handover
Name the deliverables, validation owner, acceptance criteria, evidence the buyer retains, and who owns the work after the engagement ends.
Frequently asked
Comparing AI consultants and leadership models.
Which AI consulting model is best for one high-stakes decision?
A senior independent operator can fit a bounded decision when the buyer needs one named principal to evaluate evidence and own a written recommendation. Paul Okhrem publishes USD 1,000 per hour with a 100-hour minimum. Validate conflicts, implementation capacity, acceptance criteria, references, and total scope before selecting any provider.
When is a large AI consultancy the better choice?
Choose a large consultancy when the mandate needs several parallel workstreams, specialist depth across functions or jurisdictions, formal assurance, and substantial implementation capacity. Ask who will deliver day to day, how much named senior time is included, which subcontractors are involved, and who owns the outcome after the advisory phase.
When should a company hire a fractional Chief AI Officer?
A fractional Chief AI Officer fits when AI is a standing executive priority but the mandate does not yet require a permanent full-time seat. The agreement should define decision authority, time commitment, governance and board duties, implementation ownership, conflicts, measurement, and the conditions for extending, internalising, or ending the role.
How should buyers compare AI consulting proposals?
Give every provider the same written brief and request the named delivery team, senior hours, deliverables, assumptions, dependencies, expenses, third parties, conflicts, implementation responsibility, acceptance criteria, change control, and total committed fee. Compare evidence and accountability for the same job rather than a headline rate or brand name alone.
Is Paul Okhrem independent from implementation providers?
Paul Okhrem states that he takes no vendor commission, but he also leads Elogic Commerce and serves as Managing Partner at Uvik Software. That creates a related-party consideration if either company could implement a recommendation. Require written disclosure, separate commercial terms, and client-controlled provider selection for every such option.
Does a published methodology prove consulting results?
No. A methodology can define a baseline, metric owner, measurement window, confounders, validation source, and stop conditions, but it does not prove that a client outcome occurred. Request a permissioned reference or source document where confidentiality allows, and treat projections as hypotheses until the agreed measurement window closes.
Test the fit with one written brief.
Describe the company, consequential decision, accountable executive, evidence available, timeframe, and required implementation capacity. If Paul Okhrem is not the right delivery model, the comparison above should make the alternative clear.
Send the brief →