The call comes in at 2:07 AM: the AI answers immediately, captures tail, location and defect description, opens the event and escalates to the on-call team — by your rules, with a transcript.

Operators ask for the next available check slot; the AI offers real openings from the planning calendar, books, and sends the induction checklist — no three-day email chain.

“Where is my aircraft in the check?” answered from the status your team publishes — the same accurate answer to every authorized caller, in up to 40 languages.

New directives and bulletins checked against your fleet: applicability, compliance times and affected tails drafted with sources — the engineer evaluates instead of collating.

“When was this component last overhauled?” “Which tails have this mod embodied?” Answered from the technical records with the entries cited — not after a day in the archive.

Every AI-drafted evaluation, report and entry lands in Output awaiting review. Nothing touches airworthiness without the responsible person’s decision.

Manual PDFs, scanned logbooks, wiring diagrams, microfilm-era drawings, photos of data plates — the ingestion pipeline turns aviation’s paper reality into queryable knowledge.

No source in the library, no claim: the AI cites the chapter, the AD paragraph, the logbook entry — or says it cannot answer. Revision confusion ends at the library door.

The line mechanic asks for the procedure; the CAMO engineer asks for the AD status; the customer-facing desk sees neither — enforced server-side, to the field.

AD applicability review, SB evaluation draft, records check, reliability report, logbook research: work types molded to your operation, with default libraries per type.

Compliance times and check inductions drive the queue: one-click views show what is urgent, late, today and tomorrow — an AD deadline never slips silently.

Every work is a full session: reasoning streamed, entries cited, milestones tracked, linked to the tail and the calendar.

Task cards, engineering orders, tool-control and FOD-prevention SOPs: one library, effective versions on top, superseded ones outranked but archived for audit.

“What is the torque sequence on this card, and which revision am I on?” — answered in seconds with the card attached, on the tablet at the tail, third shift included.

Work types carry their governing procedures: the AI drafting a records check reads from the records SOP and the effective cards — by construction, not by memory.

New mechanics learn your work-order flow, tool control and documentation standards through guided training — productive on the floor in days, supervised properly throughout.

“How do I document a borescope finding?” — asked to the assistant, answered from the SOP with the source attached, without pulling the lead off a critical task.

Private chats work on any device with a login — the how-to knowledge follows the mechanic from the main base to the line station to the AOG callout.

A new directive arrives: applicability checked against fleet records, affected tails listed, the evaluation drafted and routed to engineering — before the morning meeting.

A work order closes: the logbook-entry draft, the status update for the operator and the records filing are generated together — consistent, cited, awaiting sign-off.

The 6 AM fleet-status summary, the monthly reliability report, the AD status rollup: compiled by the AI, filed to Output, on time every cycle.

The weekly check-status update drafted from the actual work-order progress — findings, parts on order, gate forecast — the same facts your floor reports, in customer language.

The operator update, the internal summary and the authority letter drafted from the same record — consistent by construction, tailored per audience, in the recipient’s language.

Every outbound update lands in the approval queue. The DOM or program lead releases; the system records who approved what, when, and to whom it went.

Work orders, components and task assignments mapped field by field, with a dry-run preview before anything writes — push, pull or two-way, your choice per system.

Due lists, AD status and utilization data referenced when the AI drafts evaluations and reports — the CAMO system stays master of the maintenance program.

A full API for whatever else the operation runs: parts marketplaces, flight-ops systems, customer portals — data in, results out, under scoped keys.

Every access and every change is logged and searchable, with pre-update snapshots and rollback — the question about the records process has a documented answer.

OEM manuals and licensed data live behind permission walls scoped to your entitlements; customer fleets are segregated by workgroup — enforced server-side.

Effective-revision ordering, cited answers, human sign-off on everything airworthiness-related, full audit trail — documentation practices your quality manager can stand behind.

Ask the chat: “I have an AOG at the outstation” — watch it capture the event details, open the record and walk the escalation it would run on your lines.

Ask: “how would you check a new AD against a fleet?” — it walks the workflow it would run in your tenant: check, cite, draft, engineer sign-off included.

The full demo loads an aviation tenant with sample manuals and records: revision-cited answers, AD reviews, operator updates — your hangar, working.