Commentary

AI Reads The Room: Personalizing Emails At Scale For Enterprise Brands

AI continues to creep into the email marketing process. The latest news is that Stensul has introduced a tool for enterprise brands to send personalized campaigns at scale. 

Several vendors have come out with AI solutions for small businesses. This one addresses big companies. 

Stensul takes numerous elements, including production workflows and approvals, and connects them to AI agents and teams. The goal is to help marketers produce and manage the variations needed and to create campaigns “that reach more audiences and create more opportunities to convert,” says Manlio Carrelli, CEO of Stensul. 

The new features, which debuted on Tuesday, include the following:

  • Agentic email assembly through MCP
  • Brand voice guardrails
  • Figma-(the design platform)-to-email production at scale.
  • AI translation capability 

Why bother with all this?

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“Marketers have long understood the promise of 1:1 marketing: more relevant messages that give each customer a strong reason to act,” Carrelli explains.   

Separate from the Stensul product, a new survey from Ping Identity shows only 5% of consumers say they are comfortable with AI taking actions that they have approved, while only 3% feel the same about routine transactions that have no final approval. 

They are comfortable using AI for:

  • Low-stakes support—27% 
  • Recommendations—29%

As for financial transactions, 42% would let an AI agent spend $100, and no more. And 22% would not allow any financial transactions, whatever their size. 

What are people worried about? 

Of the 11,000 consumers surveyed worldwide, 71% fear that AI agents acting for them could misrepresent their personality and/or values. And 47% feel that constantly checking an AI agent’s work is a bigger hassle than the agent making a mistake.  

“Consumers are open to AI doing more, but they want a say in how far it can go,” said Darryl Jones, vice president of consumer segment strategy at Ping Identity. “The more responsibility we give AI, the more important it becomes to be clear about what it can do, what it can access, and who remains in control.”

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