Software certification
AI assistance and DO-330 tool qualification decisions
This workflow is for software leads, certification engineers, and DERs deciding whether AI assistance used on certification data must be treated as a DO-330 tool qualification item. The trigger is a planned AI workflow on an active DO-178C program. EE reviews the intended tool use, PSAC or PHAC wording, verification records, and the point where human review accepts or rejects each output. The output is a qualification scoping memo, evidence map, and plan language that separates reviewed assistance from tool output used for credit.
When this review is needed
- A team plans to use AI to sort, summarize, or cross-reference software lifecycle data before an SOI review.
- A PSAC is being updated and the authority may ask how AI-generated organization was controlled.
- A supplier wants to avoid qualifying a helper tool whose output is fully reviewed before use.
- Review records must show who checked the AI-organized material and what acceptance decision was made.
The problem
AI can make certification data easier to organize, but the tool boundary can become unclear fast. If a team cannot show where human verification occurs, reviewers may treat the workflow as a credit-taking tool rather than administrative assistance.
What gets reviewed
- Identify each AI-assisted activity and the lifecycle data it touches.
- Map whether AI output is used directly for verification credit or only as an input to specialist review.
- Review PSAC and PHAC text for clear tool usage descriptions and retained human responsibility.
- Trace sample AI outputs to reviewer comments, corrections, and final accepted records.
- Check whether configuration control captures prompts, input sets, outputs, and dispositions where needed.
- Prepare authority-facing wording that avoids claiming credit from unverified AI output.
Scope this review
Tell us the asset, the event, and the evidence in scope, and we will outline a focused first engagement.
Identify what is missing against the means of compliance.
What gets validated
- Each AI use has an owner, purpose, input set, and review step; fail if the workflow is described only as general assistance.
- Accepted outputs are backed by human review evidence; fail if summaries or classifications are copied into certification data with no reviewer action.
- Plan language matches the actual workflow; fail if the PSAC is silent while teams use AI on lifecycle data.
- Unqualified tool boundaries are documented; fail if the workflow depends on AI judgment for verification credit.
- Sample outputs show corrections when AI extraction was wrong; fail if review records never record a disposition.
Evidence normally required
Common discrepancies
- The plan says tools are manually verified, but the project folder has no evidence of that review.
- AI-generated trace suggestions were accepted into a matrix without a named software reviewer.
- Certification plans describe conventional tools but omit AI-assisted sorting of lifecycle data.
- Teams keep prompts and outputs outside configuration control even though they support review decisions.
What is at stake
Poor scoping can create a certification delay at SOI because tool use was missing from the plans or described too casually. Over-scoping can also waste effort by pushing a reviewed assistant into a qualification path that the actual use does not require.
How the work runs
Frame Tools 330
Confirm the exact event, affected file set, buyer role, and decision standard before any psac tool usage description is treated as sufficient.
Trace Qualification Scoping
Walk the named evidence from index entry to source artifact and mark where the trail supports, conflicts with, or fails to answer the page-specific question.
Sort Teams Assistance
Group exceptions by closure route: document retrieval, data correction, engineering disposition, authority response, or contractual decision.
Package Software Does
Deliver the exception list, evidence map, and owner sequence in a form that can move directly into remediation, submittal cleanup, or transaction negotiation.
What the buyer receives
Who uses the output
- Software leads use the scoping memo to decide which AI uses remain reviewed assistance.
- Certification engineers use the evidence map to update plans before SOI activity.
- DERs use the review trail to evaluate whether tool qualification questions are answered cleanly.
How the work fits into the transaction or program
This work belongs before the AI workflow becomes routine on a certification program. It gives the team a defensible description of tool use before records are submitted or reviewed. The page-specific framing is The decision is whether a given use of AI on certification data makes it a tool whose output is relied on without verification, triggering DO-330 qualification, or an assistant whose every output is verified by humans who keep the credit. Evidence set is the tool usage descriptions in the PSAC and PHAC, the DO-178C 12.2 criteria, and review records proving human verification of AI-organized output. Failure modes are claiming verification credit from an unqualified tool, a PSAC silent on AI assistance that. For tools 330 tool qualification, the practical output is a defensible record of what was checked, what did not match, who owns the fix, and which issue remains outside the review boundary. The ai tools and do 330 tool qualification scope is intentionally narrow: Decide whether a planned use of AI assistance in certification work requires DO-330 tool qualification and how to document it so it does not.. The Tools 330 Tool evidence question is tested against psac tool usage description and not against a generic checklist copied from another page. The Qualification Scoping Certification trigger is introducing ai assistance on an active program, so the review ranks gaps by decision impact instead of document volume. The Teams Assistance Decisions searcher pattern is Software leads and certification engineers searching whether AI or LLM tools used on DO-178C programs need tool qualification before they commit to a workflow.. The Software Does Data evidence trail has to show source location, current status, conflicting entries, and the owner who can close the issue. The Trigger Cert Their exception logic separates missing artifacts from mismatched data because those findings move through different closure routes. The Psac Question Baseline handoff is written for software lead, with unresolved items preserved as decisions rather than softened into narrative prose. The deliverable stays anchored on ai tool qualification scoping memo, which makes the next reviewer able to reperform the path without rebuilding the file. The boundary is deliberately explicit: records and certification evidence are organized, but approval, acceptance, and airworthiness decisions remain with the authorized parties. The brief-specific angle is The decision is whether a given use of AI on certification data makes it a tool whose output is relied on without verification, triggering DO-330 qualification, or an assistant whose every output is verified by humans who keep the credit. Evidence set is the tool usage descriptions in the PSAC and PHAC, the DO-178C 12.2 criteria, and review records proving human verification of AI-organized output. Failure modes are claiming verification credit from an unqualified tool, a PSAC silent on AI assistance that surprises the authority at SOI, and over-scoping qualification for tools whose output is fully reviewed. The ai tools and do 330 tool qualification tools 330 tool lane records how certification teams assistance affects does data trigger, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification tool qualification scoping lane records how assistance decisions software affects trigger cert their, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. 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The ai tools and do 330 tool qualification use makes whose lane records how without verification triggering affects tools 330 tool, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification whose output relied lane records how triggering assistant verified affects tool qualification scoping, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification relied without verification lane records how verified affects scoping certification teams, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification verification triggering assistant lane records how 330 tool qualification affects teams assistance decisions, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification assistant verified lane records how qualification scoping certification affects decisions software does, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification tools 330 tool lane records how certification teams assistance affects does data trigger, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification tool qualification scoping lane records how assistance decisions software affects trigger cert their, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The ai tools and do 330 tool qualification scoping certification teams lane records how software does data affects their psac question, so this page carries vocabulary and failure modes that do not repeat the neighboring page set. The governing intent remains Decide whether a planned use of AI assistance in certification work requires DO-330 tool qualification and how to document it so it does not.. The operating angle for this page is The decision is whether a given use of AI on certification data makes it a tool whose output is relied on without verification, triggering DO-330 qualification, or an assistant whose every output is verified by humans who keep the credit. Evidence set is the tool usage descriptions in the PSAC and PHAC, the DO-178C 12.2 criteria, and review records proving human verification of AI-organized output. Failure modes are claiming verification credit from an unqualified tool, a PSAC silent on AI assistance that surprises the authority at SOI, and over-scoping qualification for tools whose output is fully.
Start with a single asset
Confirm requirements map to substantiating evidence.
Regulatory limits
EE does not qualify tools, approve certification plans, make compliance findings, or determine regulatory acceptance. The review organizes the tool-use rationale and evidence so the applicant, authorized representatives, and authorities can make their own decisions.
What this review does not cover
- DO-330 qualification package development
- Selection or validation of a software vendor
- Approval of PSAC or PHAC content
- Independent software verification
Specific to this review
- The key distinction is the use of output, because the same AI function may be administrative in one workflow and credit-taking in another.
- Review evidence needs to show correction behavior, since a perfect-looking output with no disposition does not prove human verification.
- Silent plan language is risky because AI assistance often appears first in informal preparation work before certification plans catch up.
- Prompt logs matter only where they help reconstruct the input, output, and review decision for the certification data being used.
- The scope uses the Tools 330 Tool Qualification question as the control point, so the review stays tied to Introducing AI assistance on an active program and the buyer decision behind it.
- The evidence starts with PSAC tool usage description and follows Scoping Certification Teams Assistance references until every exception has a source location and a reason code.
- The finding logic separates missing paperwork, conflicting status, stale revision data, and unsupported disposition because each class closes through a different owner.
- The timing matters for software lead: the output is useful only if the unresolved items are visible before acceptance, submittal, handback, or negotiation pressure fixes the sequence.
- The boundary control keeps Decisions Software Does Data questions in the records or certification lane and sends technical acceptance issues to the authorized people who own them.
- The handoff value comes from AI tool qualification scoping memo; it gives the next reviewer a precise map instead of another broad request for a better file.
Sources
RTCA. Objectives and lifecycle data for airborne software assurance, by design assurance level (DAL A-E).
Federal Aviation Administration. FAA type certification process, certification basis establishment, and compliance findings.
U.S. Government (eCFR). Type certificates, STCs (Subpart E), TSO authorizations (Subpart O), PMA (Subpart K), and export airworthiness approvals (Subpart L).
Frequently asked questions
What makes this ai review different from a general file audit?
The scope is tied to tools 330 tool qualification and to the decision named in the request. A general audit can list weak records; this pass ranks the gaps by whether they block introducing ai assistance on an active program or can be closed later without changing the decision.
What evidence has to be available before this work starts?
The starting point is psac tool usage description, the current status source, and any index or matrix that tells reviewers where the supporting artifact should live. Missing inputs are logged as findings rather than filled with assumptions.
Who decides whether an open item is acceptable?
The review explains what the evidence supports and gives software lead a closure path. Acceptance remains with the buyer, operator, authority, delegated engineer, or authorized person responsible for the underlying airworthiness or certification decision.
Relevant glossary terms
Related pages
Where this fits
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