AI in Sales: From Cost-Cutting to Strategic Growth

Apr 1, 2026 · The Official SaaStr Podcast
🎧 PodShort 42 min squeezed to 2 AI SprinklerAS Sales Tech New
Episode artwork
Greg
Chief Customer Officer at Agent Force for Salesforce
Ashley
Co-founder at Momentum
Marcelle
VP Sales at Mangomint
The Official SaaStr Podcast
42 min squeezed to 2
Full episode from The Official SaaStr Podcast
Quotable Moments

Sellers want to sell, if you give them the tool that's going to to help them, they will figure it out, but don't leave it to them to figure it out. Have a strategy around it. Make sure you're getting the right training, making the right education.

GregChief Customer Officer at Agent Force for Salesforce
08:57

What's really beautiful about that is we don't use PLG in the traditional motion, where it's like, you get in, you sign up, you're all on your own. It's really a tool to tell the sales team how quickly and how engaged this customer is.

MarcelleVP Sales at Mangomint
06:50

The CIO that gives her data away to AI, is fired. Right? Like that's a big difference, and also you got to think about the psyche of those folks.

GregChief Customer Officer at Agent Force for Salesforce
22:14
Key Insights
  • AI rollouts are often bumpy, with data not in a perfect place and existing processes requiring significant re-evaluation and rewriting.
  • The primary goal of AI in sales is not just to cut costs or headcount but to drive revenue growth.
  • AI application in sales is harder than in service or operations because sales relies heavily on human sellers, and sales data/processes are often less structured.
  • To successfully implement AI in sales, organizations need to foster a culture where the workforce is 'agentic,' understanding and leveraging AI tools rather than just having licenses.
  • Current AI workflows are often human-assisted and will remain so for some time, focusing on automating tedious tasks to free up humans for more personalized, creative engagement.
  • Significant internal resistance to AI adoption comes from legal, compliance (CIOs), and general team members due to concerns about data, IP, and the need for behavioral change. Strong internal champions are crucial.
  • AI can provide 'instant value' by automating tasks that were previously time-consuming and often neglected, such as transforming uploaded customer logos or enriching leads, enabling sales teams to act faster.
  • Rather than immediately raising quotas, companies should use AI to make existing sales teams incredibly efficient and allow them to achieve higher performance, thereby increasing overall capacity and motivation.
Metrics Mentioned
  • 68 VP level and above attendees (SaaStr Annual 2026 conference)
  • 36% CEOs and founders (SaaStr Annual 2026 conference attendees)
  • 25% AI-first professionals (SaaStr Annual 2026 conference attendees)
  • 80% inbound, 20% outbound (Marcelle's company (Mangomint) lead distribution)
  • 15 minutes per deal saved (Estimated time savings from using Momentum AI at Marcelle's company)
  • 16 hours a month (Equivalent to 15 minutes per deal saved for AEs at Marcelle's company)
  • 20 wins (Monthly quota for AEs at Marcelle's company)
  • 40% (McKinsey stat: 40% of financial services customers want increased outreach from their firm)
  • 7x ARR to OTE ratio (Achieved in very SMB sales with payment processing integration by Marcelle's team, described as 'crazy')
  • 35 deals a month (Top-performing individual sellers at Marcelle's company)

RevBots.ai View:

  • AI Sprinkler stage: AI tools are bolted on to automate tasks but lack full integration.
  • ARM stage: AI orchestration replaces legacy stack, focusing on strategic revenue growth.
  • Tab Hopper stage: Manual processes hinder AI adoption; foundational data integrity is crucial.
  • SaaS Hoarder stage: Multiple tools create complexity; AI adoption requires streamlined workflows.
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