AXISTANT (AXIS AI) puts GPT in the pocket of a large organisation's staff, behind their company Microsoft sign-in. The first screen makes two promises before anything else: answers that are quick and reliable, and conversations that stay inside the organisation and are never used to train outside models.
The chat stays simple: one field, a model chip and a Web Mode switch at the top, and a plus button for everything else. Take a photo, pick images or files, create an image from a prompt, or start a Deep Research run that comes back as a sourced report you can export as a PDF and share. Answers stream in with their sources, code arrives in its own block, and any text can be highlighted and copied. Chat history lives in a side menu, where old threads can be found again or deleted.
Most of the work is in the user journey behind those screens. It maps what happens when sending fails, when content won't load, when the rate limit is hit or the sign-in token is revoked. It also covers the network dropping, or switching from Wi-Fi to cellular, in the middle of a streamed answer, both before and after a conversation exists on the server. Each case ends in a clear message and a way back, so nobody loses a half-written question.