Standards & Assurance Hub
Controlled obligations, policies, use-case ownership and evidence requirements.
Aviation Intelligence & Capability OS
A standards-aligned operating layer that connects aviation roles, approved knowledge, responsible AI use and measurable workplace outcomes.
Designed for: airport owners, operators, airlines, MROs, ground handlers, cargo operators, ANSPs and aviation service companies.
Start with your organization
Select a profile to see the priorities, use cases and outcomes that matter most.
Selected pathway
The operating model
SVAI AI OS complements existing operational systems. It does not replace certified platforms, approved manuals, the safety management system or accountable human decisions.
Controlled obligations, policies, use-case ownership and evidence requirements.
Role-to-task mapping tied to authorized AI assistance and workplace indicators.
Risk tier, operating limits, accountable owner, approval gates and rollback criteria.
Traceable answers from controlled manuals, procedures and authorized sources.
AI literacy, role laboratories, simulation and supervised workplace application.
Evidence of proficiency, authorization, currency and supervisor validation.
Capability, safety, productivity, service and value indicators in one view.
People learn the task, use AI appropriately, verify its output and remain accountable.
Five-minute diagnostic
Move each control to reflect your organization. The result is directional and intended to start an executive conversation.
Standards alignment
Explore how published positions from aviation regulators and industry bodies inform the SVAI model.
Risk-led opportunity explorer
Filter example use cases by initial assurance tier. Final classification depends on context, authority and the consequences of failure.
Personalize approved learning, practice questions and recurrent development by role.
Structure narrative reports and surface recurring themes for human review.
Retrieve approved procedures with source, revision and effective-date evidence.
Identify patterns, classify findings and prepare traceable corrective actions.
Flag emerging coordination delays and propose human-reviewed recovery actions.
Prioritize interventions using governed condition and failure data.
Support safety-significant decisions only within formal assurance and human authorization.
Present controlled plans and information without replacing incident command.
Assist qualified staff while preserving approved data and release responsibility.
90-day proof of value
A controlled pilot proves workforce capability, operational value and assurance before wider investment.
Objectives, risk appetite, accountable ownership and regulatory constraints.
Roles, critical tasks, competency gaps, baselines and three use cases.
Approved knowledge, training, simulation, oversight and acceptance criteria.
Supervised deployment, outcome measurement and board-level assurance.
Executive conversation starter
Create a concise summary using your selected profile and readiness result.
Primary references
Informed by official sources. Verify the latest edition and applicability before operational use.
AI integration, safety management and workforce development.
Official source ↗Human-centric AI, teaming and assurance expectations.
Official source ↗Incremental AI safety assurance in the aviation ecosystem.
Official source ↗Responsible airline adoption and governed data sharing.
Official source ↗Airport digital transformation and digital culture.
Official source ↗