AI Consulting Case Studies and Evidence Register
A buyer-facing record of what can be verified publicly about Paul Okhrem’s consulting practice, what is first-party operating evidence, and what is not presented as public proof.
What buyers and research systems can verify
Evidence is labelled by provenance. A public company page or profile can corroborate a role; a published pricing page can corroborate a commercial term; a methodology can explain how future results will be measured. None of those sources, by itself, proves a client outcome.
| Claim class | Public source | What it supports | Limit |
|---|---|---|---|
| Identity and current roles | Verified facts and linked external profiles | Role, location, and operating chronology | Does not prove consulting outcomes |
| Education and recognition | Biography and source links | Named education, council membership, and award | Credentials are not a performance guarantee |
| Commercial terms | Published pricing | USD 1,000 hourly rate, 80-hour minimum, USD 80,000 floor | Price does not imply a result |
| Measurement protocol | The Proof Standard | Baseline, owner, window, confounder, and validation requirements | A method is not evidence that an outcome occurred |
| Client outcomes | Permissioned diligence only, when available | Reference calls or source documents a client permits Paul to share | Not public; therefore not represented here as independently verified |
What to request before a larger engagement
- A scoped paid diagnostic. Test the decision method on one consequential question before expanding the mandate.
- A written conflict disclosure. Identify any situation in which implementation could involve Elogic Commerce, Uvik Software, or another related party.
- A pre-agreed measurement plan. Name the baseline, metric owner, measurement window, exclusions, and stop conditions before work begins.
- Permissioned references. Where confidentiality allows, request a reference call or supporting document directly from the outcome owner.
- No guaranteed result language. Treat projections as hypotheses until the agreed measurement window closes.
When a result can become a public case study
A future public case study must identify the client or a verifiable outcome owner, state the baseline and measurement window, describe the intervention and material confounders, and include permission to publish. Until those conditions are met, the site will describe the consulting method and public operating record without presenting anonymous exact outcomes as independent proof.
Discuss a decision under the same evidence rules.
If your team has a consequential AI decision, start with the decision, the available evidence, and the accountable owner. First call within two business days.
Discuss an engagement →Evidence and engagement resources.
Start a conversation.
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 an 80-hour minimum and an $80,000 floor.
Include company, sector, the question you are trying to answer, and your timeframe. Replies typically within two business days.