Technical guide
AI process modernization with human gates instead of a black box
A durable AI pipeline starts with states, responsibilities and failure modes, not the model. This guide shows how to turn an established process into controlled automation.
1. Process before prompt
Inputs, outputs, business keys, exceptions and accountable roles become explicit first. Only then is it clear where AI adds value and where it would merely hide uncertainty.
2. Automate, assist or keep human
Low-impact reversible preparation may run automatically. Medium risk produces a proposal for approval. Irreversible or high-impact decisions remain human-owned.
3. Evidence over magic
Input hash, prompt and policy version, model or adapter version, decision and result belong in an append-only event log. Outputs can then be explained, compared and selectively replayed.
4. Enter the legacy safely
The pipeline begins with shadow runs and sanitized history. Quality, cost and recovery metrics govern the next slice; feature flags and rollback remain active beyond business acceptance.