The execution layer for supply chain operations. It turns a stream of signals into decisions, applies policy, and keeps a traceable record of why each call was made - so an operation can move from dashboards that tell you what happened to a system that acts, at a pace you control.
Part of Automatiqa Lab - open-source experiments where operations meet the algorithm.
A supply chain data model that ties signals, decisions, policy, and trace together, with a heartbeat that keeps the loop alive and maturity levels that let autonomy grow only as fast as trust does. Signals come in, decisions go out, policy decides what is allowed, and every step leaves a record you can audit.
Work in progress, built in public. The build log lives on alxsidr.io. Project page: automati.qa/the-orchestrator.
MIT.