What Google's AI Team Gets Wrong About Agentic Workflows (They're Missing This)
The Value Engine

What Google's AI Team Gets Wrong About Agentic Workflows (They're Missing This)

B2Upper-intermediateNovember 13, 202616 min
  • One speaker
  • Technology

Google's AI team is betting billions on agentic workflows, but they're missing a crucial piece that could make or break this technology for actual businesses. While everyone's talking about AI agents that can "think" and make decisions, most companies are still struggling with basic automation. The gap between the hype and reality is massive. Agentic workflows promise to bridge that gap by creating AI systems that can adapt and reason through complex business processes, not just follow rigid if-then rules. But here's what Google and other big tech companies aren't telling you: the cost and complexity might not be worth...

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With traditional tools like Zapier or A&N, you create a rigid workflow.

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B2

B2 · Upper-intermediate

Comfortable if you already follow TV news

A1 7%A2 38%B1 38%B2 13%C1 5%
  • 82% of the words are B1 or easier.
  • 145 words a minute: a natural pace.
  • 127 harder words (B2 and up) in the whole episode.

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0:00

So imagine you're setting up an automation to handle customer support tickets. With traditional tools like Zapier or A&N, you create a rigid workflow. If the ticket contains the word billing, send it to the finance team. If it says technical, route it to IT.

0:11

Simple enough, right? But then a customer writes in saying, I can't access my account and my credit card was charged twice. Where does that go?

0:17

Your automation breaks because it doesn't know how to handle something that's both technical and billing related. You end up with tickets sitting in limbo, customers getting frustrated and you manually sorting through the mess.

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