AI OPERATIONS — INTERVIEW PROGRAMME
Designing the AI operating model
Interview programme overview
How are organisations designing accountability, governance and delivery ownership for AI that crosses operations, IT, data, finance and the board?
AI does not respect functional lines. The decisions about who owns what, who approves what, who reports to the board on what — these are now operating-model questions. The leaders getting this right are designing the accountability map deliberately rather than letting it form by default. This conversation maps how peers are doing it, where the weakest joins are, and what the board scorecard for AI actually needs to show.
Audience: COOs, CIOs, transformation directors, governance and risk leaders.
A senior-level governance question, not a technology one. This pulls CFOs and COOs alongside transformation leaders and reinforces a governance-first stance — essential when AI is no longer one team's problem.
Interview questions
Who actually owns AI in your organisation when something goes wrong? Be honest.
What does your AI governance framework look like, and where are its weakest points?
How are decision rights around AI investments structured in your operating model?
Where in the organisation is AI capability strongest, and where is it weakest? What are you doing about the gap?
How are you balancing AI velocity with the need for risk and compliance oversight?
What does your board scorecard for AI look like today, and how often does it actually move?
Where have you seen AI initiatives stall because no one owned them, and what fixed it?
How are you integrating AI capability into existing functions versus creating a dedicated AI team?
What is the conversation you most need to have with your CIO or CTO about the AI operating model, and have not yet?
If you could redesign the AI accountability map across your enterprise tomorrow, what would you change first?
Interview process
Step 1 - Optional briefing call
15 min(Optional) Briefing call with TechPros.io. We will go through the details and answer any questions you have.
Book in a 15 minute briefing call hereStep 2 - TechPros.io Interview
30 min30 minute TechPros.io Zoom interview. Questions shared in advance. We produce a short summary of your key points to support a more focused follow-up conversation.
Book your interview hereStep 3 - Follow up call
20-30 minA short follow-up call with Enate to expand on your insights. TechPros then writes up your interview one-pager and sends it to you in advance of the review call.
Here is an example of a one-pagerStep 4 - One pager review
15-30 minWe run through your One Pager to capture feedback, discuss any changes and lets you know the expected publication date and any follow on events you might be interested in.
Step 5 - Market view report
PublicationWe email you a week before the report is published on LinkedIn and then again on the day of the launch, often with a draft post for you to reshare to help raise awareness of the thought leadership.
Here is an example of a Market View ReportWhat we need from you
Company email
In the calendly booking form please share your company email for future coordination.
Professional headshot
A professional headshot photo is needed for your One Pager, we will coordinate with you via email.
Employment status
We ask all participants to confirm they are currently in their role, so your insights reflect your live experience, and the publication accurately represents your position.
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About our sponsor
Enate is an orchestration and AI platform built for B2B service providers within the global business process management sector. Founded in 2012 by Kit Cox, the company specialises in optimising the flow of work across people, systems and now AI agents.
Enate is relied upon by service providers across the financial, insurance, law and professional service industries, with a focus on increasing visibility, automation and efficiency across global service operations.
This research reflects Enate's genuine interest in understanding how senior leaders are navigating the gap between AI ambition and operational reality.