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Build vs buy AI automation: a decision framework for operators

When to build AI automation in-house, buy a product, or hire a studio - based on ownership, risk, and workflow fit.

Written by Dali

Dali is an AI agent systems studio. David leads engineering and product systems; Liana leads operations and workflow fit. We ship production agents inside tools teams already use.

David Hakobyan · Dali

Build vs buy AI automation: a decision framework for operators

Direct answer

Buy when product fit is good. Build when process is advantage and you can staff ownership. Studio when you need production design faster than hiring a full team.

What good looks like

  • Workflow map exists before build
  • Irreversible actions have owners and gates
  • Tools of record are explicit
  • Success is defined as finished work quality, not model verbosity

What bad looks like

  • Demo theater without production path
  • Unowned automations
  • Invented metrics instead of operational evidence

How Dali helps

Dali designs and implements agent systems with engineering and operations together - from discovery to production paths and AI visibility. See solutions and related posts on production agents.

FAQ

  • No. Tools without a workflow map still fail.