AI's next frontier: fixing revenue execution gaps that kill deals

Jul 21, 2026 · Topline
🎧 PodShort 24 min squeezed to 2 Ai sprinklerAI Sales Tech
Episode artwork
Adam Liszka
Co-founder and CEO at Airspeed
Topline
24 min squeezed to 2
Full episode from Topline
Quotable Moments

Our goal is to have authentic conversations with leaders, founders, CEOs, executives, investors, in go-to-market, and figure out how they solve specific challenges over the last 12 to 24 months and what we can learn from that as the common layman.

Sam JacobsHost, Topline Spotlight
00:29

I think the biggest blocker is still data and insights to to actually doing things. And we we we want to close this gap as much as possible.

Adam LiszkaCo-founder and CEO at Airspeed
03:17

The problem with go-to-market tech these days is that so many different categories are blurring over into each other.

Sam JacobsHost, Topline Spotlight
04:02
Key Insights
  • The 'execution problem' in go-to-market (GTM) arises when reps say 'I'll follow up on that' but then fail to act, leading to lost deals and inaccurate forecasts.
  • Revenue execution is seen as the new frontier of AI, focusing on how AI can help sales teams execute tasks more quickly and effectively.
  • Many companies in the GTM tech space are deferring the ownership of the user interface (UI) to large language models (LLMs) like Claude or OpenAI, focusing instead on middleware.
  • Raising a $20 million Series A in the current economic climate demonstrates significant traction, indicating that investors are discerning despite headlines suggesting easy money.
  • The world's understanding of AI's direction has matured, leading to increased urgency for companies to invest in AI solutions, especially over the last year and a half.
  • To successfully transition from founder-led sales to a scalable company, the first critical step is ensuring all data is captured, especially product, customer, and sales conversations.
  • The modern Turing test for AI is not just about conversation, but giving an AI system an agent $100k to run a business and seeing if it can turn it into a profit.
  • AI will likely run much of the 'back-end' operations, data crunching, and data structuring within organizations, rather than entirely replacing human-run companies.
Metrics Mentioned
  • $20 million Series A funding round (Airspeed recently closed this funding round.)
  • Six-figure deal (Airspeed's first six-figure deal was closed through a serendipitous meeting at a GTM conference.)
  • North of a couple million in ARR (Airspeed achieved this ARR through founder-led sales.)

RevBots.ai View:

  • AI Sprinkler teams bolt on execution AI but miss workflow redesign: Airspeed focuses on task completion over insights.
  • SaaS Hoarders drown in unused data: structured capture of customer conversations is prerequisite for scaling.
  • ARM orgs will demand AI that passes the $100k business test: execution beats conversational flair for revenue ops.
  • Founder-led sales hit limits fast: transition requires systematized data before hiring sales teams.
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