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revopsAf the podcast

Episode 52: RevOps Rewired

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In this episode of the RevOpsAF podcast, co-host and RevOps Co-op founder Matt Volm sits down with Mark Lerner, Director of Growth Marketing at DealHub and the author of the newly published e-book RevOps Rewired: Rethinking Revenue for the Digital Age. This is more than a typical book launch interview - it’s a sweeping, nuanced, and tactical exploration of how three seismic shifts have completely redefined the field of Revenue Operations over the past five years.

Drawing from over 100 podcast interviews, real-world anecdotes, and his own experience operating in the CPQ and RevOps trenches, Mark unpacks what’s changed, what’s still changing, and what RevOps leaders need to know to stay not just relevant - but invaluable - in a world that won’t sit still.

“There were three converging paradigm shifts - COVID, the economic correction, and AI - and they all hit one after another. That completely rewired the role and responsibilities of RevOps.” – Mark Lerner

Three Shocks to the System: What Triggered the RevOps Reset

Mark kicks off the conversation by identifying the "origin story" for this new era of RevOps. According to him, the industry didn’t just evolve - it was violently jolted into transformation by three consecutive, overlapping shocks:

  1. COVID-19: Remote work mandates and distributed teams meant that systems, tools, and processes had to function without hallway conversations or shoulder taps. The result? An explosion in the number of tools adopted to make asynchronous work possible - and a newfound reliance on RevOps to stitch it all together.
  2. The Zero-Interest Boom and Bust: The flood of VC funding and cheap capital led to bloated budgets and even more bloated tech stacks. Point solutions proliferated as every team was given carte blanche to “buy the best-in-class tool.” And then, seemingly overnight, the faucet turned off. Suddenly, RevOps wasn’t just responsible for implementing tools - it became the execution arm of budget rationalization, vendor consolidation, and efficiency mandates.
  3. The AI Revolution: AI, once a tool for data scientists and researchers, became accessible to frontline operators almost overnight. But accessibility didn’t equal strategy. While boardrooms demanded “AI transformation,” most operators were left asking: What problem are we actually trying to solve?
“We went from a period of abundance to a period of reckoning. And RevOps was at the center of both extremes.” – Mark Lerner

Tech Stack Bloat, Platform Consolidation, and the Role of RevOps as Architect

During the “growth at all costs” years, companies prioritized speed over integration. The result? A scattered landscape of disconnected point tools with little strategic cohesion. In that environment, RevOps professionals were expected to be:

  • Systems architects
  • Data engineers
  • Process consultants
  • And internal therapists for GTM teams struggling with tool fatigue

But as budgets shrank and CFOs took a red pen to every line item, the mandate shifted from speed to efficiency. Tools that weren’t delivering measurable ROI were eliminated. Point solutions were ripped out. Platform consolidation became the new north star.

“We’ve gone from a tool-for-everything mindset to a do-more-with-less platform approach. That puts even more pressure on RevOps to make those platforms work across multiple teams, workflows, and use cases.” – Mark Lerner

RevOps, once a support function, is now a cross-functional strategic orchestrator - responsible not just for deployment and integration, but also for ongoing platform optimization, user enablement, and cross-departmental ROI measurement.

➡️ Related Reading: Your 2025 RevOps Tech Stack, Simplified

The AI Gap: High Expectations, Low Adoption

One of the most eye-opening observations Mark shares: despite the hype, AI adoption within RevOps remains surprisingly limited.

While AI is making inroads in marketing (e.g. copy generation, ad testing) and product (e.g. support bots, personalization engines), RevOps teams are far more cautious. The reasons are many:

  • AI hallucinations create risks at scale
  • Enterprise teams fear regulatory or security mishaps
  • Many RevOps leaders simply haven’t seen clear, repeatable ROI

That said, there are promising use cases:

  • CRM enrichment and pre-call research
  • Agentic workflows for data entry, record clean-up, or reporting
  • Predictive intelligence on deal health, pipeline gaps, or onboarding friction
“We’re seeing AI interest across the board - but deployment is cautious. Most RevOps pros don’t want to test bleeding-edge tools in the systems that literally run revenue.” – Mark Lerner

➡️ Related Reading:

Build vs. Buy: Is Every Company Becoming a Software Company?

In the current AI landscape, some leaders believe that companies will start replacing SaaS vendors by building internal tools using no-code platforms and generative agents.

Klarna is one of the most famous examples. The company publicly announced that it replaced large portions of its tech stack - including CRM and HRIS - with custom-built AI-powered tools.

Mark sees this as a long-term possibility but a short-term overreaction. For most RevOps teams, building custom tools in-house presents too many unknowns:

  • You don’t benefit from vendor best practices
  • Internal dev resources are scarce
  • Maintenance becomes an internal burden
“Just because you can build something doesn’t mean you should. There’s a reason SaaS companies exist: they’re good at solving one specific problem at scale.” – Matt Volm

Where Do Humans Fit in a Machine-Augmented World?

Despite all the focus on automation, tooling, and AI, this episode ends on a refreshingly human note.

Both Matt and Mark emphasize that human-to-human interaction remains the most valuable currency in revenue operations. In fact, the goal of tech - if wielded correctly - should be to free humans up to do more human things:

  • Strategic planning
  • Cross-functional alignment
  • In-person events
  • Real relationships with customers and peers
“If AI can eliminate the drudgery - clicking buttons, cleaning lists, formatting decks - that creates more space for conversations, collaboration, and community. That’s the goal.” – Matt Volm

RevOps professionals are uniquely positioned to lead this evolution. They sit at the intersection of people, process, and technology - and now, AI. By taking ownership of where AI gets deployed, RevOps can become the tip of the spear for human-centered innovation.

➡️ Related Reading:

Final Thought: RevOps Isn’t Being Replaced - It’s Being Rewired

If you take one thing away from this episode, let it be this: RevOps isn’t dead. It’s evolving. And the professionals who embrace adaptability, cross-functional strategy, and human-centered design are going to be the ones who not only survive the change - but lead it.

“The RevOps pros who win going forward are the ones who ask better questions - not who chase shinier tools.” – Mark Lerner

Want More?

📘 Grab the book: RevOps Rewired by Mark Lerner

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