41 - 44 Great Queen Street, London, WC2B 5AD
Other
Jennifer explores why interim transformation operators have become essential for portfolio companies that need to move quickly from AI experimentation to measurable results.
After our PE Perspective: From Hype to EBITDA: Operationalising AI for Value Creation event, one thing is abundantly clear:
AI isn’t waiting for anyone.
Across the room, the same themes kept surfacing: data will never be “ready,” governance feels unclear, boards are demanding visible progress, and senior leaders still feel the pressure to “have an AI project” even when they don’t yet have a problem worth solving.
But what really struck me was this:
Execution is the differentiator. Not experimentation. Not PR. Execution.
And today, execution in AI transformation requires a capability that many portfolio companies simply don’t have in-house nor can they hire for fast enough.
That’s where the interim transformation operator comes in.
The advantage:
The panel spoke repeatedly about the scarcity of truly differentiated AI talent, the risk of mis-investing, and the urgent need to start messy rather than wait for perfect. Portfolio companies need people who can:
Time is compressed capital, and AI is now a value-creation lever that can’t afford a two-year learning curve.
Interim AI operators are built for exactly this pace.
They remove ambiguity. They cut through noise. They create structure where there is none.
And they get portfolio companies to actual EBITDA-linked impact, not innovation slides.
This is the same shift we’ve seen in traditional interim
We don’t use interims to “hold the fort.”
We use them to move multiples.
The same applies now to AI:
We need operators who can unlock revenue in six months, not six quarters.
Who can integrate AI into operations, workflows and supply chains not run experiments on the side.
Who leave the portfolio company genuinely stronger than they found it.
The takeaway:
Stop asking, “What’s our AI project?”
Start asking, “Who can deliver AI-driven value creation, right now?”
The gap between firms who experiment with AI and those who operationalise it is widening fast.
And in this market, the right interim transformation operator isn’t a nice-to-have.
They’re your edge.
Portfolio companies often can’t hire fast enough for the pace PE demands. Interim AI operators bring the expertise needed to execute quickly – they can walk in and start delivering value immediately, without the months-long recruitment process. They’re built for compressed timelines and can typically deliver measurable results within six months rather than six quarters.
AI transformation needs a different skill set. You need someone who can navigate messy data, build governance from scratch, and drive cultural adoption – not just implement technology. Most companies don’t have this mix of capabilities internally, and AI projects fail when they’re treated like standard IT rollouts. The focus has to be on business outcomes, not just proof-of-concept demos.
They focus on execution, not experimentation. Interim operators prioritise what will actually move the needle – integrating AI into operations, building sustainable capabilities, and creating governance structures that work. They cut through ambiguity, reduce friction, and drive toward measurable EBITDA impact rather than running endless pilots that never scale.
The main issues are: data is never perfect, governance is unclear, boards want to see progress fast, and there’s pressure to “have an AI strategy” even without a clear business problem to solve. Add to that a shortage of real AI talent and the risk of investing in the wrong initiatives, and you see why so many companies are stuck in experimentation mode rather than execution.
Because everyone’s experimenting, but few are executing. The companies that can operationalise AI – actually integrating it into their business and showing EBITDA impact – are pulling ahead. Interim transformation operators provide the execution capability that turns AI from a nice-to-have innovation project into a genuine value driver within PE holding periods.
Interim operators work at PE pace. They’re designed to unlock value in months, not years—typically delivering revenue impact or operational improvements within six months. They achieve this by bringing proven frameworks, eliminating the usual delays, and focusing relentlessly on outcomes rather than process.
Stop asking “What’s our AI project?” and start asking “Who can actually deliver this?” The right interim operator makes the difference between firms that experiment with AI and firms that operationalise it. Focus on finding people who can translate AI into ROI, build real capability, and leave the portfolio company stronger—not just more innovative-sounding.
Renoir’s Interim talent platform exists for investors and ambitious businesses, where expertise, insight, and people come together to create lasting impact. We add value as your dedicated interim and fractional talent partner.
We work across the full lifecycle of leadership needs, helping Private Equity, Venture, and Enterprise clients navigate complex growth, transformation, and investment strategies. Connect with Jennifer Brook-Botfield at jen.brook-botfield@renoirinterim.com to learn more.
