Latest Release Highlights

This matters because teams can make powerful AI tools available to the right people without turning every model or agent on for everyone.

This matters because spreadsheet questions often need exact calculations, filtered rows, grouped results, and reusable exports rather than a short text summary.

This matters because teams can tailor SimpleChat to local workflows without sending users to a separate unauthenticated site.

This matters because users can find and reason about Tableau assets without manually switching between systems for every lookup.

This matters because repeatable document work can move from one-off chat prompts into reusable personal or shared group automation.

This matters because many setup and metadata fields are easier to draft by voice, especially longer agent instructions or document descriptions.

This matters because common M365 tasks can become part of an agent-assisted workflow instead of requiring manual copying between apps.

This matters because users no longer need to decide whether chat or workspace upload is the right path before they start working with a file.

This matters because some documents need more than plain text extraction to answer accurately, especially forms, tables, scanned PDFs, and image-heavy files.

This matters because workspace documents can stay closer to authoritative file shares instead of depending on repeated manual uploads.

This matters because large conversation histories should not slow down everyday chat startup.

This matters because collaboration often crosses workspace boundaries, but shared documents still need review and clear ownership.

This matters because users can understand their own activity and manage everyday preferences without needing an admin to change global settings.

This matters because analytics data can be queried from SimpleChat without giving every user direct database tooling.

This matters because users can hide multiple sensitive ranges in a message without losing control over previous masks.

This matters because architecture diagrams, process diagrams, and email files often contain important context that should not be trapped outside workspace search.

This matters because specialized agents can stay focused on the knowledge they were designed to use.

This matters because web-grounded answers are more useful when they are based on reviewed source pages instead of snippets alone.

This matters because links are a natural way to bring external context into a chat, but they need bounded, policy-aware handling.

This matters because multi-turn document conversations should remember the source trail you already built instead of making you start over every prompt.

This matters because important results should become durable files when users need reports, decks, summaries, or workspace knowledge.

This matters because image creation can become part of the conversation flow without forcing users to send one image request at a time or accept unapproved generated media.

This matters because large workspaces are easier to navigate when users can choose the browsing mode that fits the task.

This matters because useful assistant suggestions become one-click follow-up actions while users stay in control before sending.

This matters because visual identity helps users understand whether a response came from a selected model or an agent.

The fastest way to learn a new workflow is usually inside the workflow itself, with the right controls highlighted as you go.

Visible processing cues reduce uncertainty while the system is working and make delays easier to interpret.