AI OPERATIONS — INTERVIEW PROGRAMME
AI vs the broken process
Interview programme overview
When does AI surface unresolved process problems instead of solving them, and what foundations are leaders putting in first?
AI is exposing process problems faster than it is solving them. Workflows that worked under human judgement and informal exception handling break the moment an agent is dropped on top of them. The leaders making AI work in operations are rebuilding the orchestration layer first, mapping the messy reality of how things actually run, and being honest about which processes should not be automated at all.
Audience: Process owners, operations directors, orchestration and BPM leaders.
The strongest fit with the orchestration-before-automation worldview. This conversation lets the room arrive at process foundations as the first AI investment, not the last — and gives leaders cover to slow down on automation until the orchestration layer is right.
Interview questions
What process did you try to apply AI to that turned out to be much more broken than you expected? What did you do?
Where is the gap widest between the process documented in your runbook and what actually happens day-to-day?
How do you know when a process is ready for AI, versus when it needs to be redesigned or retired first?
What foundational process work has paid off the most for your AI strategy in the last 12 months?
Where is exception handling causing the most breakage in your current AI pilots? What is the design problem you are trying to solve?
How are you connecting fragmented systems so AI has clean inputs to work with — buy, build, or wrap?
Who owns each end-to-end process in your operations today, and is that level of ownership clear enough to support AI deployment?
What is the single piece of orchestration infrastructure you most wish you had invested in earlier?
Where are you applying AI inside a workflow versus where AI is doing the workflow itself? How do you decide?
If you were starting from scratch today, knowing what you know about AI, which processes would you skip automating altogether?
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.