Hot Take: Where Is AI Actually Driving Outcomes?

RevOps leaders at the RevOps AF conference share how AI is driving real outcomes, from analytics at scale and rep productivity to shorter sales cycles and smarter customer engagement.

Lenny Ohm
Head of Marketing
July 13, 2026

Where is AI actually driving measurable business outcomes?

That's the question Ryan Rich, COO and Co-founder of Accord, posed to a group of revenue leaders during a recent discussion on the real-world impact of AI.

While use cases continue to evolve, participants agreed that the greatest value isn't coming from flashy demos or standalone tools. It's coming from AI's ability to eliminate complexity, improve decision making, and help customer-facing teams spend more time doing what humans do best.

For Ryan Milligan's team at QuotaPath, AI is driving greater efficiency across the organization by "taking out the things that aren't unique to a human, and letting humans focus on where they add a lot of value and close a lot more revenue on a per person basis."

Lauren Hughes, VP of Revenue Effectiveness at Justworks, has seen a similar impact. After reshaping her team around AI and technical skill sets, she says, "I've deliberately built back with very specific AI and technical roles and skills. And our output is insanely better. Our business partnership with the customer-facing team leaders that we work with is amazing. The recognition we have across the sales and customer success floor is through the roof."

Where AI is driving outcomes

  • Increasing rep productivity
  • Automating repetitive work
  • Delivering analytics at scale
  • Surfacing market intent and buying signals
  • Improving customer context and preparedness
  • Shortening sales cycles
  • Increasing pipeline and revenue opportunities

AI works in these scenarios because it can summarize customer context, surface relevant signals, identify potential challenges, and equip sellers with the information they need before every interaction. When customers feel understood earlier in the buying process, conversations become more relevant, engagement happens sooner, and sales cycles move faster.

Conclusion

The common thread? AI's greatest strength isn't in replacing people, it's in amplifying what people do best. By removing complexity and surfacing the right insights at the right time, AI enables customer-facing teams to spend less time searching for answers and more time building relationships, solving problems, and driving revenue.

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