Wingman360 vs ChatGPT, Claude and Gemini for aviation work

ChatGPT, Claude and Gemini are general assistants that answer from their training and, when they search, from the open internet, and they can read documents you upload into a conversation, a project or a notebook. Wingman360 Teammate is an aviation assistant that answers only from documents your organisation has approved, shows the paragraph each answer came from, and drafts compliance documents for review. The two kinds of tool overlap on a narrow strip of regulatory work and are built for different jobs on either side of it. This comparison sets out where each one belongs, using OpenAI's, Anthropic's and Google's own published data-handling statements and the requirements an aviation organisation has to meet under EASA and FAA rules, so that the choice is made on facts rather than on the assumption that one tool has to lose.

Where the two kinds of tool overlap and where they do not

Why the source matters more than the model

The four ways a general assistant fails on regulatory questions are described in Can AI be trusted for aviation compliance documentation?: invented references, the wrong revision, a blurred hierarchy between implementing rules, acceptable means of compliance and guidance material, and mixed jurisdictions. None of them is a defect of any particular model, and switching from ChatGPT to Claude or Gemini does not change them. They follow from answering out of a corpus that nobody in your organisation controls. Uploading the Easy Access Rules into a conversation fixes the first two for that conversation and leaves the organisation exactly where it was: forty engineers, forty uploads, forty revisions.

The regulations put the obligation on the organisation, on both sides of the Atlantic. Point 145.A.45 makes an EASA maintenance organisation responsible for holding and using applicable current maintenance data and for keeping the data it controls up to date. 14 CFR 145.109(d) requires an FAA certificated repair station to maintain the documents and data required for its work "in a format acceptable to the FAA" and states that they "must be current and accessible when the relevant work is being done". Part-IS asks the organisation to identify every system and interface through which its information flows and to assess the risk. A tool that satisfies those points has to be one the organisation controls, at the revision the organisation has approved, inside the boundary the organisation has assessed. That is a description of a controlled knowledge base with citations, not of a chat window.

How much the system around the model carries can be measured. The RDB-1 Regulated Document Benchmark gave the same files, brief and template to models on Wingman360 Teammate and to a frontier model on a general agent tool, and scored the technical report each produced against the sources. The general agent tool scored 66 out of 100; the best local model on Wingman360 Teammate scored 74, level with the best cloud model on the same harness. The difference came from the harness, not from the size of the model.

What ChatGPT, Claude and Gemini are better at

• Everything outside the corpus. Explaining an unfamiliar concept, drafting an email to a supplier, writing a script to reformat a spreadsheet, summarising a published accident report.
• First contact with a regulation. Reading a long document faster, asking what a section is about, getting a plain-language overview before opening the text. Treat the result as orientation, not as a citation.
• Breadth and speed of adoption. No setup, no procurement, no administrator. For a team that wants to learn what language models can do, any of the three is the right first tool.

What Wingman360 Teammate is built for

• Questions with a controlled answer. Which procedure covers this, which clause a finding cites, who is authorised to release this component, at the revision the organisation actually works to, with the paragraph shown.
• Documents the authority reads. Compliance matrices, safety assessments, exposition amendments and operations documents, produced as drafts in the organisation's own template for a nominated person to review and sign.
• Organisations whose data cannot leave. Design organisations, defence suppliers, operators handling customer data under contract, anyone whose Part-IS assessment concludes that an external interface is a risk to avoid.

Using both

The practical arrangement is two tools with a line between them. ChatGPT, Claude or Gemini, on a business plan with training off, for general work and for anything that is public. Wingman360 Teammate for anything that touches approved documents, controlled records or documents that will be submitted to an authority. The line is written into the procedure that describes AI-assisted drafting, which every organisation that uses either kind of tool for compliance work should have, and which the Part 145 and CAMO guide describes.