What AirOS AURA is — and what it is not
AirOS AURA (Aviation Unified Regulated Assistant) is the platform's intelligent layer across maintenance, compliance, document control, and operations. It is not a generic chatbot bolted onto legacy aviation ERP software. AURA is designed for regulated environments where engineers, CAMOs, and safety managers must retain authority over airworthiness decisions.
AURA answers questions against your organisation's live operational data — fleet records, maintenance programmes, controlled documents, and regulatory publications — with responses grounded in traceable sources. Where recommendations affect compliance or maintenance actions, they surface through AI Inbox for explicit human approval before anything is applied.
Architecture: operational data, not isolated prompts
Most aviation AI tools treat each conversation as an isolated prompt. AURA is architected differently:
- Domain-linked context. Queries resolve against AirOS entries — aircraft, work packages, defects, documents, and compliance tasks — scoped to your organisation's permissions and regulatory framework.
- Tool-assisted retrieval. AURA uses structured tool calls to fetch current records, search controlled documentation, and cross-reference regulatory updates rather than relying on static training data alone.
- Streaming with validation. Responses stream in real time while aviation-safe validation checks keep outputs within operational boundaries — no unsupervised certification, dispatch approval, or maintenance release.
- Audit logging. AI-assisted interactions are logged with source references so quality teams and regulators can reconstruct what information informed a decision.
This architecture aligns with EASA AI Roadmap Level 1 and Level 2 principles: AI augments human expertise; accountable persons remain responsible for outcomes.
Safety design and human-in-the-loop controls
Aviation AI must be judged by what it cannot do as much as what it can. AirOS enforces these boundaries in AURA's design:
- No autonomous airworthiness certification. AURA cannot approve maintenance release, certify work, or authorise dispatch. Certifying staff and nominated persons retain sole authority.
- Approve-or-decline recommendations. AI Inbox presents maintenance follow-ups, compliance gaps, and document actions as recommendations — never auto-applied changes. Every approval or decline is recorded with user identity and timestamp.
- Source attribution. Regulatory and operational answers cite the underlying records, publications, or procedures. Engineers can verify AI output against primary evidence before acting.
- Role-based access. AURA respects the same permission model as the rest of AirOS. Users see only the aircraft, documents, and compliance data their role permits.
- Voice assistance with operational context. Hangar voice mode supports hands-free queries during maintenance — but voice interactions follow the same validation and logging rules as text.
These controls are documented in our AI Policy and expanded in the research paper Ethical AI in Aviation.
From EASA update to assigned tasks
When a new airworthiness directive lands, Regulation Intelligence ingests it automatically. AURA analyses applicability against your fleet and maintenance programme, then AI Inbox surfaces recommended actions for your team to approve — maintenance tasks are assigned to the right aircraft with a full audit trail.