From first look to running loop.
Three stages, each one earning the next — separated by how deep we go into your stack and whether the decision loop is running live.
First Light
Your supplier base, scored in 2–3 weeks. No integration required.
We score your suppliers against proprietary aerospace & defense benchmark data — certifications, on-time delivery, award pricing. You see your operation through the instrument for the first time, before connecting a single system.
Pilot
One decision, running live in your environment. 4–6 weeks.
We connect the systems behind a single high-value decision and run the governed loop on real operations — modeling the consequence and measuring expected against actual.
Production
The decision becomes a governed operating habit. Ongoing.
Deep-SKAI runs continuously as a governed, auditable decision layer above your existing systems — expanding to adjacent decisions as the loop earns trust.
Depth: no integration → connected → continuous · Duration: 2–3 weeks → 4–6 weeks → ongoing
The decision is where the cost and the margin live.
Complex operations don’t fail because leaders lack dashboards. They fail because the right signal arrives late, context is scattered, constraints are unclear, and teams have no fast way to compare options before acting.
One operation. Eight handoffs. No single view.
Your operation is a single chain. Your systems aren’t — each stage runs in its own tool, and no one sees the whole. The cost isn’t in any one link. It’s in the seams between them.
DFARS flow-downs and ITAR/EAR rules interpreted by hand; guardrails live in PDFs.
audit exposureCert status, OTD, and risk scattered across systems; problems surface at receiving.
40%+ have limited or no visibility into Tier-1 supplier performance World Economic Forum · 2025Prices accepted without a defensible basis; margin conceded at award.
13% raw-materials savings captured by a should-cost capability McKinsey · 2025International lanes tracked in separate tools; disruptions surface late.
delay & demurrageCarrier invoices accepted as billed; accessorials never audited.
accessorial leakSupplier and material constraints hit the line as surprises.
line-down riskCommitments made without a live view of what’s actually moving.
missed OTDThe promise to the customer rests on signals no one fully sees.
penalties & lost trustThe seams add up. Supply-chain disruptions cost the average organization 45% of a year’s profits over a decade.
McKinsey
We don’t boil the ocean. Deep-SKAI starts where the data advantage is sharpest — supplier risk and should-cost — and the governed loop extends from there.
The same decision, two ways.
A flight-critical supplier’s AS9100 certification is lapsing and on-time delivery is slipping. Here’s how that decision plays out today — and with Deep-SKAI™.
The lapse surfaces at receiving — or when a delivery is already missed.
Cert PDFs, a delivery spreadsheet, a buyer’s memory. No single picture.
Manual calls, premium freight, re-sourcing under pressure.
Line-down risk, expedite cost, schedule slip — and nothing is logged.
Cert expiry and OTD trend, scored against benchmark data, before it bites.
Ranked against cost, schedule, and compliance limits — ITAR, approved-supplier.
The owner approves; action executes across existing systems, on the record.
Expected vs. actual logged; the next score is sharper.
Illustrative scenario — no named customer. The modeled exposure is directional and qualitative, not a quoted figure.
One governed loop, above your existing systems.
Deep-SKAI connects the full decision loop — so signals become governed decisions, decisions become accountable action, and outcomes make the next decision sharper.
decision layer
Start where the decisions are hardest.
Supplier Intelligence
Your suppliers, scored against proprietary aerospace & defense benchmark data we already hold — including AS9100, NADCAP, and ITAR-registration status — surfacing who needs attention before issues reach production — so the margin a line-down would erase stays in the business.
View detailsShould-Cost Intelligence
Evaluate cost reasonableness against proprietary award-pricing history and negotiate with stronger decision support — so margin you'd have conceded at award stays in the business.
View detailsInbound Carrier & Accessorial Intelligence
Audit inbound freight invoices against contract terms and lane norms — surfacing recoverable and preventable accessorial spend — with an audit-defensible basis for every charge. (Already carries a financial consequence; add only the auditability half for the CFO.)
View detailsDisruption Response
Detect disruptions early and rank response options by service, cost, timing, and risk — within ITAR, export-control, and approved-supplier constraints.
Expedite Reduction
Find preventable expedite patterns and model when acceleration is actually justified.
Production Readiness
Surface supplier, material, and quality constraints before they become schedule misses.
Contract & Compliance Decisions
Turn DFARS flow-downs, ITAR/EAR export controls, and contract constraints into auditable decision guardrails.
It sits above your systems. It doesn’t replace them.
Deep-SKAI connects to the systems you already run — from the engineering BOM to the receiving dock — applies your policies and constraints, and turns what they know into decisions your teams can defend.
… and the partner systems in your ecosystem.
Hard to copy, by construction.
The moat runs across three layers at once — the product, the data underneath it, and the ecosystem it orchestrates.
The governed decision loop
Sense → Decide → Act → Learn, with governance built in, not bolted on — so every decision is an audit-defensible record, not a black-box call. Patent-pending (priority Nov 2024).
Proprietary benchmark data
Aerospace & defense supplier benchmark data since 2017 — certifications, on-time delivery, award pricing. First Light scores against data we already hold.
Orchestration, not replacement
Deep-SKAI orchestrates proprietary supplier intelligence, advanced analytics, and global supply-chain data across a partner ecosystem — expanding over the coming quarters.
More AI models will not close this gap. A copilot that suggests and then shrugs still leaves the decision — and the liability — with you.