Safety-critical systems certification context
Aerospace
AI introduced near safety-critical systems inherits the certification burden of those systems. We structure deployments so change control, traceability, and design-assurance expectations are satisfied by evidence generated during delivery — not reconstructed afterward for an airworthiness or supplier audit.
Pressures
What shapes delivery in this sector.
Design assurance
Tooling that touches certified artifacts must have a qualified, documented place in the assurance case.
Export control
ITAR, EAR and equivalent regimes constrain where models, prompts and training data can physically reside.
Supply chain
Tier-one and tier-two suppliers must be held to the same evidence standard as internal teams.
Use cases
Where value shows up first.
- Technical publication and maintenance manual drafting with human sign-off
- Non-conformance triage and root-cause clustering
- Supplier quality document review and traceability checks
- Predictive maintenance signals routed to certified planning systems
Evidence
What we leave behind.
- Data residency and export-control assessment per use case
- Human-oversight specification for every certified touchpoint
- Model change log tied to configuration management
Next step
Discuss an aerospace use case.
A confidential discovery call with your risk, compliance and technology leadership.