Business ownership
Choose the sponsor, workflow owner, value measure and funding decision for each use case.
Paul Okhrem helps CEOs and leadership teams define how AI work is owned, funded and run. Agree the responsibilities, shared capabilities and review gates your teams need to take useful AI from isolated projects into normal business operations.
Personal consulting: USD 1,000/hour, 80-hour minimum, USD 80,000 engagement floor. Scope and availability are agreed before work begins. Published fees and terms.
Your teams have AI pilots, subscriptions and delivery partners. The next decision is how that work should run across the company: who chooses priorities, releases funding, accepts risk and supports a system after launch.
I help CEOs, COOs and technology leaders design that operating model. You work directly with me on the decisions and the handover. Your people retain the responsibilities we agree for their functions.
Choose the sponsor, workflow owner, value measure and funding decision for each use case.
Agree what teams share: data access, evaluation, security review, platforms and approval evidence.
Name who monitors performance, handles exceptions, pays running costs and can pause the system.
A proposed design for discussion. The right responsibilities depend on your organization and the signed scope.
The result is a set of working decisions your leadership team can use. The scope selects the records you need and the people who must accept them.
Download an illustrative AI decision-rights worksheet (CSV). It is a planning example to adapt with your team, not a client record or an agreed mandate.
For the detailed control framework, use AI governance consulting. This engagement connects those controls to the way people, funding and delivery work together.
An enterprise AI operating model needs to fit the decisions and risks in the business. I compare the practical consequences before proposing an organization chart.
| Model | Useful starting point | Question to resolve |
|---|---|---|
| Centralized AI team | Scarce expertise or common infrastructure needs coordinated ownership. | Can business teams get timely decisions and retain responsibility for adoption? |
| Federated business teams | Units have different workflows and enough capability to own delivery. | Which security, data and evaluation standards must still be shared? |
| Shared hub with business owners | Teams need common support while retaining control of their use cases. | What does the hub provide, and who settles disagreements about priorities? |
Generative AI and agents add further questions about data access, human review and actions a system may take. Those questions belong in the operating model alongside conventional machine-learning and automation work.
Review measures can include approval time, unresolved ownership, adoption, running cost and value against an agreed baseline. Targets are set from your evidence; this page does not promise a throughput or financial improvement.
Start with AI strategy consulting to prioritize investments and agree the value case.
Operating model consulting defines how your people make, fund and carry out the recurring decisions.
A fractional Chief AI Officer provides ongoing personal executive involvement within an agreed part-time mandate.
AI vendor selection advisory evaluates the options against your workflow, evidence and commercial constraints.
This is a consulting engagement with Paul Okhrem. Software engineering, daily operational coverage and specialist assurance are assigned and priced separately where needed.
Consulting is USD 1,000 per hour with an 80-hour minimum and USD 80,000 engagement floor. The written scope defines the work, outputs and acceptance criteria. Read the published fees and terms.
For a useful first brief, describe the business units involved, one or two AI workflows, where decisions stall and who will sponsor the changes. Paul works from Prague with international clients; meeting times, on-site work and any travel are agreed before starting.
Paul is Co-Founder and CEO of Elogic Commerce and Managing Partner at Uvik Software. Any related-company proposal is disclosed and separately contracted. Your team controls implementation-provider selection.
It defines how an organization owns, funds, governs and runs AI work. Paul Okhrem helps leaders agree decision rights, shared capabilities, delivery gates and ongoing owners. The work connects strategy and governance to everyday operating responsibilities.
Not necessarily. A central team is useful only if it solves a capability or coordination need. Compare a central, federated or shared structure against your current teams, systems and decisions before creating another function.
Yes. The scope can include generative AI and agentic systems alongside existing analytics and automation. It must specify data access, permitted actions, human review, incident ownership and the evidence needed before wider use.
No. The consulting scope designs and hands over the operating model. Ongoing executive ownership is a separate fractional CAIO mandate, published at USD 30,000 per month for a six-month minimum, with up to 30 hours per month.
The schedule depends on the agreed scope, stakeholder access and the work needed to test the design. Consulting has an 80-hour minimum and USD 80,000 floor. The proposal confirms the timetable before work begins.
Paul Okhrem is a Prague-based AI transformation consultant and fractional Chief AI Officer for mid-market and enterprise companies. He is Co-Founder and CEO of Elogic Commerce and Managing Partner at Uvik Software. He has built B2B and enterprise software since 2009.
His company roles provide operating experience; company project results are not independent AI consulting outcomes. Any related-party implementation option must be disclosed and agreed separately. Read the evidence and measurement method.

Tell Paul what you need to decide, who owns the decision and when you need to act. Review his background and published terms.