FDE model essential for AI application startups
The guests argued that AI application startups must utilize forward-deployed engineers (FDEs) to build flexible horizontal platforms rather than rigid, opinionated SaaS products.
The argument
Because enterprises refuse to change their established operational procedures for new software, startups must deploy FDEs directly into customer environments. This close feedback loop allows the product team to build horizontal primitives (workflows, SOPs, integrations) that adapt to the customer's unique operations.
The thesis, stress-tested
✓ What validates it
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▸ Risks discussed
- ▸High operational overhead of maintaining FDE teams
- ▸Potential margin compression if custom work is not successfully productized
Hear it yourself
"So example, freight forwarding, Koonenago, they are serving customers, very large customers. I cannot name who. But imagine that you are a big customer of Koonenago and you ask, hey. Where is my shipment? What happens now is an agent has to turn around and go find it. That go find it is very complex. You need that coordination. You need basically an orchestration agent that is okay. This is an air shipment, so obviously relates to airlines. Who is the airline on this shipment? Okay. Let me go to the airline's website. So we have browsing agents that go and scrape the website of the airline."