REVENUE OPERATIONS

Illustration: Morning Brew Inc., Photos: Unsplash, Adobe Stock

Valerie Chapman, a B2B content creator and founder of Ruth AI, says she couldn’t run her business without her chief of staff, Hazel, who has access to all four of Chapman’s email accounts, analyzes Chapman’s correspondence, and tells her which messages are most important.

“[Hazel is] able to tell me where I’m leaving money on the table, what opportunities I could take and leverage to something bigger,” Chapman told Morning Brew.

Hazel is an agentic team member Chapman built via Hyperagent, a platform for users to build agents that can do “powerful work,” per the company’s website. And for Chapman and other Hyperagent users we talked with, the platform helps them boost revenue because the agents they create replace potential human hires and save them the costs of (human) salaries—rather than compensating a human, they can pay compute costs.

This allows content creators and small businesses to build their own agentic “employees,” which many larger businesses have already done. The platform takes its niche seriously, too: Since it launched in February, Hyperagent has partnered with numerous content creators, taught creators and small business owners how to use the technology, and conducted games that award customers with compute credits.

Team spirit

Hyperagent isn’t the only AI company that Chapman has partnered with—she’s also worked with Anthropic, Microsoft, and Granola. But what sets Hyperagent apart for her, she said, is that she can create agents that can all have different job functions and work together as a team. In addition to Hazel, she plans to build another agent named Juniper that will help her with content ideas.

“[Juniper] would just continuously be researching what’s happening within that particular sector, in the content space,” Chapman said. “The plan is eventually to have a few different ones that all work together, so they are able to delegate the same way a team would.”

Even though AI is massively helpful for Chapman in running her business and creating content, she doesn’t let it have total free rein, especially when it comes to financials and revenue.

Read more on why some content creators are choosing Hyperagent.—TC

      

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CUSTOMER SUCCESS

Illustration: Morning Brew Inc., Photo: Adobe Stock

A new report from customer success and growth platform ChurnZero looks at how AI is impacting SaaS customer growth, with nearly 600 respondents having a positive outlook on the technology.

The biggest takeaway is that customer success teams are using AI for administrative tasks, with 81% using the tools to reduce time spent on manual tasks like logging, summarizing, or updating records. Other highlights from the report include:

• 32% are using AI in a tactical capacity in limited use cases, while 31% are embedding it in some workflows, 12% say it’s a core enabler of their GTM strategy, and 4% say AI is deeply embedded.
• In terms of tasks, 50% said AI helps personalize outreach, 48% said it helps teams prioritize the right customer actions faster, and 46% said AI makes it easier to act on data without needing analyst support.
• Customer success teams are less likely than sales teams to ask AI to solve problems at 32% of responders compared to sales at 48%.
• 37% of surveyors said AI execution is the biggest gap for CS teams in where their teams are today and where they need to be, followed by data quality at 25% and process, structure and alignment at 18%.
• More than half (53%) of CS leaders are optimistic about AI.
• Despite swift AI adoption, almost half (49%) of teams say they don’t have a consistent way to measure AI.

“When we asked nearly 600 customer success and revenue leaders what AI is doing for their teams, the picture that emerged was positive,” said YouMon Tsang, CEO and co-founder of ChurnZero in the report. “It could have gone either way. Almost everyone is using AI, mostly on administrative tasks, but they are using it… Fear, uncertainty, and doubt haven’t left, but at least there are no AI deniers anymore.”

Going forward: The report advises that teams shouldn’t measure AI as a category, rather they should pick one workflow and set quotas.

“AI adoption isn’t the outcome. Business impact is,” said Cat Lang, SVP of global customer success and professional services at Outreach, in the report. “Leaders need to move beyond measuring how much their teams use AI or how many hours it saves and start measuring what changes because of it.”—LI

      

IT OPERATIONS

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Is there a way to keep data constantly AI-ready—even when the next AI trend is largely unknown?

Ramon Thomas, a strategic advisor at IT services and consulting company World Wide Technology, told IT Brew that “data is the crux of all AI initiatives,” while acknowledging that many organizations have historically struggled with data quality in general.

Poor data quality can lead to a “garbage in, garbage out” situation where poorly structured, undefined data ingested by an AI model leads to poor results, according to Thomas.

According to a 2026 Cloudera report, only 7% of respondents (which included people involved in their organization’s data decisions, and whose organizations were actively exploring, testing, or running AI projects) said their organization’s data is completely ready for AI adoption. Over one-quarter (27%) of those surveyed said their data is either not very or not at all ready.

Eryn Brodsky, practice lead for servers, storage, and platforms within the hybrid infrastructure organization at CDW, said that while certain industries like finance and healthcare are ahead on the data maturity and quality curve, she estimated that the “majority of people” are unsure what the breadth of their data looks like or where it’s stored.

“Start there, because if you don’t take the time, you’re going to end up having a challenge in the future,” Brodsky said.

Find out what makes data ready for AI.—CN

      

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active pipeline

Stat: $20,000. That’s how much some colleges, like Emory & Henry University, are lowering tuition prices to boost enrollment. (CNBC)

Quote: “It all adds up to an economy that’s resilient on paper but doesn’t resonate with most Americans because of both the loss of purchasing power and the lack of healthy churn.”—Diane Swonk, KPMG chief economist on the recent jobs report (the Washington Post)

Read: AI costs too much. The reckoning is here. (Forbes)

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