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SaaStr · AI at work3 min read

AI now does much of the sales grunt work, so sales bosses matter more

AI agents now handle much of the first-contact sales and support work, but companies still need a revenue leader to decide what AI does and what people do.

By the Dashline deskSource: SaaStr
AI now does much of the sales grunt work, so sales bosses matter more
Photo: SaaStr

About 10 months into AI that actually works for sales, the busywork is moving to software, and the person running sales matters more, not less. That is the argument from SaaStr, a software business community, based on its own company and on leaders from Vercel, Anthropic, Owner and Klaviyo.

What changed

AI agents are programs that carry out a task on their own. SaaStr says they have taken over much of the SDR job. An SDR is a sales development rep, the person who sends first emails to possible customers. Agents have also absorbed first-line support, part of customer success, and chunks of marketing and finance operations.

SaaStr runs with 3 humans and 20+ agents. Its human sales team is down to 1.5 people, through attrition with no layoffs. Revenue is higher than before. Its agents send around 3,200 emails a month. A good human SDR at its size sent 75 to 285.

What the examples show

  • Vercel cut a 10-person lead team to one person using an agent that costs about $5,000 a year. The other nine moved to higher-value roles.
  • In a survey of 560+ companies, 36% had cut SDRs, 14% had cut sales engineers, and 28% had grown account executives.
  • Vercel's support agent handles 93% of its case load. Klaviyo's agents resolve 50% to 70% of issues before a human steps in.

Anthropic went further. It built a self-serve path for enterprise buyers, and four months later 54% of new enterprise customers were closing that way. Its Sales job openings still grew about 60% in five months, from 72 to 117. SaaStr cautions that few companies have demand like that, so no one should plan around 54%.

Why the sales boss matters more

SaaStr says its reps do about the same job they did two years ago. The gains came from decisions above them: which work goes to agents, which leads go to which person, and when an agent's output can be trusted. Its own leaders now spend about 8 hours a day working with agents, up from about 30 minutes a year ago.

Its finance and operations agent, 10K, shows how trust gets built. It handled three deals under supervision, then ran the fourth alone. SaaStr reports one wrong invoice since.

Where AI falls short

Easy work moves first. Pylon, a support software company, saw one large customer deflect about 50% of tickets with no change in headcount, because the tickets AI handled were the easy ones. Humans still decide which customers get a personal call or a hands-on review, especially around renewals.

What to do

The lasting value for a business owner is in sorting the work. Decide which sales and support tasks can go to AI with a person checking, and which should stay with people. Then name one owner for the revenue number those tasks feed.

The takeaway

AI can take over much first-contact sales and support work, but someone must still decide what it does, how it is checked, and where people go.

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