The AI ROI clock hero background

AI OPERATIONS — INTERVIEW PROGRAMME

Interviews Open
Sponsored byEnate logo

The AI ROI clock

Interview programme overview

When CFOs start scrutinising AI ROI in 2027, what survives the cut, and what is being protected by getting evidence on the table now?

The CFO conversation about AI is shifting fast. The 2026 budget is generous; the 2027 conversation will not be. Operators who can quantify what AI is delivering — in language a CFO will fund — are protecting investment that will not survive a margin squeeze otherwise. This is the room to compare what is working, what is creeping up unnoticed, and what the next 12 months of evidence needs to show.

Audience: CFOs, finance directors, COOs, commercial directors.

Speaks to the political reality of AI funding. It frames adoption now as the route to demonstrable ROI before the scrutiny tightens — and gives the room language to defend AI funding before the next downturn argues against it.

Interview questions

1

What is the most common CFO question about AI you cannot yet answer convincingly?

2

How are you measuring AI ROI today, and what would you change if your CFO asked tomorrow?

3

Where is AI spend creeping up faster than you expected — token costs, agent infrastructure, or somewhere else?

4

What is the AI initiative you would defend most strongly in a margin squeeze, and why?

5

How are your AI vendors and consultancies structuring their commercials — are they aligned with your outcomes, or with their effort?

6

What does your CFO need to see in 2026 to keep funding flowing through 2027?

7

Where do AI productivity gains actually show up in your P&L? How long did it take to see them?

8

How are you separating AI spend that compounds (foundations, data, capability) from AI spend that does not (one-off pilots)?

9

What would you tell a peer who is being asked by their board to commit to AI ROI numbers they do not yet believe?

10

If your AI budget was cut by 50% next year, which initiatives survive and why?

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 here

Step 2 - TechPros.io Interview

30 min

30 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 here

Step 3 - Follow up call

20-30 min

A 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-pager

Step 4 - One pager review

15-30 min

We 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

Publication

We 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 Report

What 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.

About our sponsor

Enate logo

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.