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Use cases

Start with one high-value decision.

Each use case maps the same loop — a decision pattern, the data it needs, and the business consequence it protects.

Supplier Intelligence

Score suppliers against proprietary aerospace & defense benchmark data we already hold — delivery history, risk indicators, certifications (AS9100, NADCAP, ITAR registration), and award pricing — so teams see which suppliers need attention before issues become production problems.

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Decision pattern
Which suppliers to act on, and how.
Data needed
Delivery, risk, compliance, spend.
Consequence
Fewer production-stopping surprises.

Should-Cost Intelligence

Evaluate cost reasonableness against proprietary award-pricing history and market context — so procurement teams negotiate with stronger decision support.

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Decision pattern
Is this price defensible?
Data needed
Parts, materials, market, history.
Consequence
Margin protected at negotiation.

Inbound Carrier & Accessorial Intelligence

Audit inbound freight invoices against contract terms, lane norms, and reasonableness — the same should-cost discipline pointed at the carrier invoice instead of the part quote.

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Decision pattern
Pay, dispute, or prevent this accessorial?
Data needed
Carrier invoices, contract terms, lanes.
Consequence
Accessorial leak recovered & prevented.
In development

Disruption Response

Detect shipment, production, supplier, or lane disruptions early — and rank response options by service, cost, timing, and risk consequence, constrained to ITAR/export-control-eligible and qualified (AS9100, approved-vendor) suppliers so a fast re-source never creates a compliance breach.

Decision pattern
How do we respond, fast?
Data needed
Shipments, lanes, production, risk, export-control status.
Consequence
Service held, cost contained, ITAR intact.
In development

Expedite Reduction

Identify preventable expedite patterns and model when acceleration is justified — versus when better upstream decisions would protect margin.

Decision pattern
Expedite, or fix upstream?
Data needed
Expedite history, lead times, cost.
Consequence
Freight spend structurally lower.
In development

Production Readiness

Surface supplier, material, documentation, quality, and logistics constraints — before they become schedule misses.

Decision pattern
Are we ready to build?
Data needed
Materials, quality, docs, logistics.
Consequence
Schedules held, rework avoided.
In development

Contract & Compliance Decisions

Convert DFARS flow-downs, ITAR/EAR export controls, AS9100 requirements, and contract obligations into decision guardrails — improving auditability and execution consistency.

Decision pattern
Does this action stay in policy?
Data needed
Contracts, DFARS/ITAR clauses, policy.
Consequence
Audit-ready, consistent execution.

Start small. Prove the decision creates value.

Pick one high-value decision pattern, connect the minimum data needed, and model the consequence before expanding.

To explore the platform, or get started with a First Light engagement…

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