Direct answer

How do you decide between a composable or integrated AI approach?

The decision hinges on two factors: how critical the feature is, and how much control you need. For core IP or high-stakes workflows that are your competitive edge, you need a more integrated approach with deeper production hardening. For ancillary features where speed to market is key, composition can work. You must be ruthless about classifying which features require which approach.

18 Mar 2026
ai_solutions

Short answer

The decision hinges on two factors: how critical the feature is, and how much control you need. For core IP or high-stakes workflows that are your competitive edge, you need a more integrated approach with deeper production hardening. For ancillary features where speed to market is key, composition can work. You must be ruthless about classifying which features require which approach.

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How do you decide between a composable or integrated AI approach?

The decision hinges on two factors: how critical the feature is, and how much control you need. For core IP or high-stakes workflows that are your competitive edge, you need a more integrated approach with deeper production hardening. For ancillary features where speed to market is key, composition can work. You must be ruthless about classifying which features require which approach.

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