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.
Synthetic walkthrough
From decision context to governed operating design
A delayed shipment of critical synthetic resin threatens production at two plants. The incident owner must choose how to protect service without creating an unsafe substitute, an unauthorized commitment, or hidden harm elsewhere in the network.
This worked example is synthetic. It illustrates Decisagent's decision-first method; it is not advice, a product claim, or evidence that a deployment achieved an outcome.
Choice set
- Continue and monitor
- Expedite the existing shipment
- Reallocate available inventory
- Use a qualified substitute
- Defer lower-priority commitments
Fit boundary
Signals of a useful fit
- A named incident owner and recurring intervention process
- Current inventory, demand, supplier, logistics, and quality state
- Explicit cost, service, and recovery alternatives
- Bounded, reversible interventions
- Observable effects over hours, days, and weeks
Conditional or poor-fit signals
- Conflicting inventory records
- Missing quality approval
- Customer priority is implicit or disputed
- The proposed commitment is broad or irreversible
- Several concurrent disruptions make local attribution unreliable
Evidence contract
| Evidence | Time and freshness | Fail-closed behavior |
|---|---|---|
| Inventory position and open orders | As-of time and refresh age for each site and in-transit order | Do not recommend a quantity transfer or release when stock or units conflict |
| Demand and service commitments | Effective demand horizon and contractual priority | Escalate when customer or allocation precedence is unresolved |
| Supplier and logistics status | Current promised dates, capacity, carrier status, and confidence | Treat unconfirmed recovery dates as ranges; do not represent them as commitments |
| Substitute quality and eligibility | Current approval for exact item, site, process, and market | Prohibit unsafe or unapproved substitution |
| Cost and recovery scenarios | Decision-time assumptions and scenario version | Abstain when material costs or downstream effects cannot be bounded |
Objectives and tradeoffs
Balance service continuity and recovery speed against expedite cost, quality, equitable scarcity, contractual commitments, and network resilience.
Authority boundary
Default to a DA-3 governed proposal. External action requires a named human approval or exact preauthorization for supplier, item, site, value, duration, channel, and rollback conditions.
Abstention and escalation
- Inventory or orders are stale or conflicting
- Substitute quality or eligibility is unknown
- The response transfers material harm across customers or sites
- The action exceeds any approved item, site, supplier, value, duration, or reversibility limit
Required human review
- Incident owner for the network response
- Quality owner for substitution
- Procurement or supplier owner for commitments
- Customer or commercial owner when scarcity changes service obligations
What not to automate
- Unsafe substitution
- Contract change or supplier commitment beyond policy
- High-impact allocation of scarcity across customers
- Irreversible production changes without explicit authorization
Outcome horizon and evaluation
Verify action integrity immediately, service and recovery over 24–72 hours, and downstream cost, quality, and network effects over two to four weeks.
- Retain the evidence and expected effect available at decision time
- Compare actual service recovery, incremental cost, quality, and downstream effects with the declared scenario
- Separate decision quality from execution, supplier, demand, and transport changes
- Record override, exception, and reduced-authority triggers
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.
Reviewed relevant products
No product relationship has crossed human review for this decision. Candidate seed links are intentionally excluded.