Product direction · Automatic event-driven replanning and fuller decision memory are roadmap capabilities. Current run history and configured review flows are described separately.
Decisions that remember why they were made.
Every run is kept, with its inputs and its results.
Today, every VYAN run is kept as a version: the facts it used, the policy in force and the results it produced. Anyone can see what was decided, on which data, and compare it with what came next.
A decision system of record.
What was known
What was chosen, and why
What happened
Every assumption stayed in range. The decision still reopened.
Single-number alerts miss the change that matters. Demand drifts down a little, yield up a little, freight up a little: each stays inside its band, while together they push the economics of a commitment past its guardrail.
Decision memory will keep each consequential commitment under watch on its combined economics. When a guardrail is crossed, the decision returns to its owner with what changed, the value now exposed, the alternatives still open and the time left to use them. When a headline does not apply, the record keeps why no action was taken.
Wait while learning pays. Commit before the options expire.
Every consequential commitment runs on two clocks: uncertainty resolving as information arrives, and options expiring as lead times, capacity and supplier windows close.
Where VYAN is going: decision memory that recognizes the commitment frontier, the point beyond which waiting erodes the available response, and recommends whether to commit, wait or hedge.
Learning, not blame: where value was lost or preserved.
A write-off is rarely one function's fault. Lower demand and a stronger crop met commitments already made. Decision value leakage traces where enterprise value was lost or preserved as uncertainty, decisions and execution interacted.
Judged against a dated record rather than the latest forecast, an option that expired unused can still be sensible protection, and a lucky purchase can still have carried too much risk. Luck is not judgment; a good memory keeps them apart.
When a planner overrides, the system should learn whether it helped.
Where VYAN is going: override value tracking compares each override with what the recommendation would have delivered, on consistent terms, and engages decision makers when overrides reveal a missing constraint, market intelligence or objective.
Improvements to models or policy are proposed and validated before they are applied. Not every override becomes a model update.