Decision Models: The Control Layer for Governed AI Engineering
Generating software is becoming cheap. Trust it is not. Each agentic workflow, starting from a coding agent to a release pipeline, is a combination of small decisions determining what work has been received, and which agent is responsible, whether this command can run or is the change ready to ship. Today these are usually made by a large language model prompted to choose, which is costly and slow, or by a human reviewing, which doesn’t scale.
This article describes a third option: decision models, small, calibrated models built to decide rather than to generate, and Decision Intelligence, the layer that makes their answers governable. It is a companion to our earlier piece, Beyond Copilot,[4] which argued that engineering is becoming intent-driven and that autonomy must be matched by governance. Decision models are one of the mechanisms that make that match practical.
LLMs generate. Decision models decide. Decision Intelligence...
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