Decisagent working decision ontology

Supply-Chain Intervention

Choose whether and how to intervene when supply, logistics, quality, or demand conditions threaten an operating plan.

Decision anatomy

Accountable owner

Supply-chain, operations, or fulfillment leader with a named incident owner

Recurrence

Continuous monitoring with event-driven intervention decisions

Reversibility

Mixed; routing changes may be reversible, while expedites, substitutions, and allocations can create lasting effects.

Cost of error

High through service failure, waste, cascading disruption, unsafe substitution, or disproportionate customer impact.

Evidence

  • current demand, supply, and inventory position
  • supplier and logistics status
  • service commitments and priorities
  • scenario costs and recovery times
  • operational constraints and exception history

Alternatives

  • continue current plan
  • expedite or reroute
  • substitute supply
  • reallocate inventory
  • defer or cancel demand

Objectives

  • service continuity
  • recovery time
  • cost
  • quality
  • resilience

Constraints

  • available supply
  • transport capacity
  • quality rules
  • customer commitments
  • authority limits

Uncertainty

  • disruption duration
  • supplier recovery
  • demand changes
  • downstream propagation
  • intervention efficacy

How AI may participate

This is design guidance for the archetype, not a universal maturity requirement or a claim about a particular product.

  • Detect a material service risk and assemble current inventory, demand, supplier, transport, and dependency evidence.
  • Compare interventions such as expedite, reallocate, substitute, defer, or accept the risk under explicit constraints.
  • Recommend a time-bounded response and state which evidence could reverse it.

Authority and retained human judgment

Begin with governed recommendation or proposal. Supplier changes, customer commitments, production changes, and consequential orders require a named approver unless a narrow reversible action is already authorized by policy.

What accountable people still decide

  • Which customers, sites, or commitments absorb scarcity and why.
  • Whether a substitute or schedule change is operationally and contractually acceptable.
  • Whether local optimization creates unacceptable downstream risk elsewhere in the network.

Outcome observability

Operational effects appear over hours to weeks, while resilience and downstream customer effects take longer.

Evaluation and trace

  • Measure service recovery, avoided disruption, incremental cost, and unintended downstream effects.
  • Compare expected and actual conditions at the intervention horizon, retaining the original decision record.
  • Separate the effect of the intervention from demand, supplier, and transport changes that occurred later.

Failure and abstention conditions

  • Abstain when inventory, order, or supplier state is stale or materially conflicting.
  • Escalate responses that transfer harm across customers, facilities, or contractual boundaries.
  • Stop automatic execution when the action is irreversible, exceeds a value threshold, or lacks a rollback path.

Assess your version of this decision

An archetype cannot determine the right authority boundary by itself. Decisagent Fit separately assesses useful AI participation and supportable action authority from your decision context.

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Reviewed relevant products

No product relationship has crossed human review for this decision. Candidate seed links are intentionally excluded.