What AI Should Know Before an Aviation Draft
Authority, organisation type, source revision, evidence, your role and the output. The context AI needs before it drafts a finding, procedure or matrix.
Dionysis KefalasUpdated 6 min read
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"Prepare a compliance note for this requirement."
An AI tool will answer that in seconds, and the answer will read well. It will also have guessed at least six things: which authority applies, what kind of organisation this is, which source and revision to use, what evidence exists, who is asking, and what the note is for. A sentence that fits a Part-145 quality procedure may be wrong for a CAMO process. A study note is not an OM amendment. A finding sounds strong until the sampled record fails to support it.
The fix is not a cleverer prompt. It is the same intake a competent colleague would ask for before starting.
The six things AI needs before it drafts
- Authority and framework. EASA, another authority, or a customer or contractual standard. Say which rule set applies.
- Organisation type. Part-145, CAMO, operator, Part-147, or an independent professional working for a client. The same topic has a different answer in each.
- Source and revision. Regulation, AMC, GM, the approved exposition or a local procedure, and which revision. Say whether the tool may use anything beyond what you supply.
- Evidence. What was actually sampled or recorded, and what is only reported or assumed.
- Your role. Preparing, reviewing or approving; for your own notes or for a company-controlled record.
- The output. The artifact you need (finding, procedure section, matrix, CAP, reply) and who will review it.
Most weak AI drafts in aviation come from one of these being missing. The blocks below turn them into intake you can copy, fill in and paste before the request.
Intake: audit finding
TASK Draft an audit finding for my review
AUTHORITY EASA / other:
ORG TYPE Part-145 / CAMO / operator / other:
REQUIREMENT Source, section, revision (quote if you can)
AUDIT SCOPE Area, activity, date
SAMPLE What was sampled, how many
OBSERVED What was seen or not found
EVIDENCE Record refs, photos, interview notes
CLASSIFY BY Which procedure defines finding levels
STATUS Draft observation or intended finding?
REVIEWER Who checks before issue
RULES Do not classify. Mark assumptions.
Without the requirement and the sample, the right output is a list of questions, not a finding. Can AI draft aviation audit findings safely? covers what the draft should look like once the intake is there.
Intake: procedure section
TASK Draft a procedure section for review
DOCUMENT MOE / CAME / OM / local procedure, revision
PURPOSE Why this section exists or is changing
SCOPE Who and what it applies to
ROLES Who does what, by title
INPUTS Documents, data, forms needed
STEPS Current practice, in rough order
RECORDS What is recorded, where, by whom
INTERFACES Other procedures or departments
REFERENCES Requirements the section must meet
ROUTE Document control and approval route
RULES Flag assumptions and open questions
The route matters even at draft stage: it tells the tool the output is a proposal for document control, not text for the manual. More in how aviation AI prepares procedure drafts.
Intake: compliance matrix
TASK Draft a compliance matrix, not a summary
AUTHORITY Rule set and amendment in force
REQUIREMENTS Which paragraphs, or the full list
MANUAL Exposition and revision to map against
COLUMNS Requirement / manual ref / evidence /
gap / owner / status / reviewer note
EVIDENCE What evidence exists, and where
STATUS Proposed only; reviewer sets final status
RULES Leave a cell blank rather than guess
Naming the columns is what stops a matrix coming back as three paragraphs. The method behind the columns is in how to build an aviation compliance matrix.
Intake: corrective action plan
TASK Structure a CAP for review
FINDING Finding text, verbatim, with reference
ISSUED BY Internal audit / authority / customer
CONTAINMENT What was done immediately
CORRECTION What was fixed in the sampled case
ROOT CAUSE What is known, and how it was found
ACTION Proposed corrective action
OWNER Name or role, due date
EVIDENCE What will show completion
EFFECTIVE How and when effectiveness is checked
RULES Challenge "staff reminded"-type wording
If root cause is still open, say so. The tool should then produce root cause questions, not a finished cause. See how to write an aviation corrective action plan.
Intake: certificate or recency note
TASK Prepare a readiness note for my records
CERTIFICATE Type and issuer
SCOPE Categories, ratings, limitations
DATES Issue, expiry, last recurrent
RECENCY Relevant recent experience, if any
RECORD Personal note or company record?
OUTPUT Reminder list / CV line / renewal checklist
RULES Do not infer validity. Mark unknowns.
The tool can organise dates and list what to check. Whether a certificate, rating or authorisation is valid is for the issuer and the rules that govern it.
Intake: reply to an authority or customer
TASK Draft a reply for my review
FROM Authority / customer, and their reference
ISSUE Their text, verbatim
DEADLINE Date the reply is due
FACTS What has been done, with dates
EVIDENCE What will be attached
POSITION Accept / partly accept / clarify
SIGNATORY Who signs and sends
TONE Formal, factual, no commitments beyond
what is listed under FACTS
RULES Do not add actions or dates I did not give
This is the intake where guessing does most damage. A tool that "helpfully" adds a commitment creates an obligation the organisation never agreed to.
Ask only enough to control the risk
Nobody wants an assistant that turns every request into an interrogation. For a low-risk explanation, two questions may be enough: which authority, and who is the audience. For a procedure draft, the set is larger. For a finding, the requirement and the sample are non-negotiable.
The test for each question is whether a wrong guess would change the output in a way the reviewer might miss. If it would, ask. If not, state the assumption and move on.
A good assistant can offer the choice itself:
- "I can give a general explanation now, with assumptions labelled."
- "Or I can ask a short intake and prepare a review-ready draft."
That gives speed when speed is safe and structure when structure is needed.
What a good assistant should ask back
Even with the intake, a well-built tool should push back when something is missing or odd: a source revision that looks old, evidence that does not support the proposed wording, a request that drifts from drafting into deciding. If you ask for a finding to be closed, a manual amendment approved or an aircraft released, the right response is to stop at preparation and say who decides. Where that line sits for each kind of task is covered in the human review gate.
If you skip the intake, the output should say so: a general note with assumptions listed, not something dressed as a review-ready draft.
In Avioverse
Some of this intake is carried for you in Avioverse. Each conversation keeps its regulation boundary (EASA, FAA or both), Metis can draw on the records and context you have saved in the workbench (depending on your plan), and modules such as Audits and Procedures supply the structure a finding or procedure needs. Metis can ask when a gap matters. The draft still goes to a competent person before it is used.
Frequently asked questions
What should I tell AI before it drafts aviation work?
Six things: the authority and framework, the organisation type, the source document and its revision, the evidence you actually have, your role in the task, and the output you need with who will review it.
What questions should aviation AI ask first?
It should ask about the applicable authority, regulation or procedure source, organisation type, evidence available, intended output, audience and review or approval boundary.
Does giving AI more context make the output safe to use?
No. Good context reduces hidden assumptions and makes the draft easier to check. It does not remove all risk, and the output still needs review by a competent person before it is used.
Should aviation AI always ask many questions?
No. It should be proportional. A simple explanation needs fewer questions than a finding draft, procedure draft, compliance matrix or official record preparation.
Does asking questions make AI slower?
It can add a short step, but for professional aviation work it improves quality. The goal is to ask only the questions needed to control the output.
What if I do not have all the context?
Say so. Ask for the output to be labelled as a general note, with assumptions listed and missing items marked, rather than letting the tool fill the gaps with confident wording.
Related
- Human-in-the-Loop AI for Aviation: The Review GateArticle · 9 min
- Can AI Draft Aviation Audit Findings Safely?Article · 9 min
- How Aviation AI Prepares Procedure DraftsArticle · 8 min
- How to Build an Aviation Compliance MatrixArticle · 7 min
- How to Write an Aviation Corrective Action Plan (CAP)Article · 8 min
- Can You Use ChatGPT for EASA Compliance Work?Article · 6 min
Written by Dionysis Kefalas. Retired Hellenic Air Force Captain and founder of Avioverse. About the author
Metis prepares answers from the EASA regulation library with numbered sources you can open, so you check the rule text before you rely on it. Opens in October 2026.