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When should a company build instead of buy an AI workflow?

C

Cass Ortega

Technical buyers

4d

I am trying to get a realistic read on when should a company build instead of buy an AI workflow.

Compare control, maintenance, risk, vendor lock-in, and speed.

What has actually worked (or failed) for your team? Specific examples, pricing traps, or vendor claims that did not hold up are especially useful.

1,351views4replies
N

Nico Braun

Engineering manager

3d

Document what 'done' means for the workflow. We shipped an agent that 'worked' but still required a human to close the loop every time — zero net time saved.

S

Suki Tan

Research analyst

2d

If you are non-technical, demand a sandbox with sample data and a 30-minute setup path. Anything that needs a solutions engineer for the first win will stall on a small team.

R

Reid Callahan

Customer success lead

2d

Source quality beat model size for us. Clean knowledge + tool scopes fixed more hallucinations than switching models.

A

Aria Voss

Strategy & architecture

20h

Start with one bounded workflow that has a clear success metric. We tried to automate three use cases at once and none of them got good enough to ship.

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