Mio launches shared AI worker for teams with 3,000 integrations

Mio describes itself not as an AI assistant but as "the first AI worker the whole team shares." The product, in beta since July, plugs into Slack as a native bot — tag @mio in any channel and it responds like a colleague. The company says the beta has saved thousands of hours and completed tens of thousands of tasks, though it has not published official performance metrics or a comparison baseline.

Onboarding takes roughly 30 seconds: connect the existing stack and Mio gains access to more than 3,000 tools through built-in integrations — Notion, Linear, GitHub, HubSpot, Google Workspace and others. From there users can ask it to prepare a meeting brief pulling CRM notes, emails and recent threads; fix a website bug by reading the error, drafting a fix and opening a pull request; summarize project status by scanning Linear, Slack and Notion; or send a scheduled weekly update that lands directly in a private message.

The model acts only when prompted or on a predefined schedule, never on its own initiative. Sensitive actions wait for human approval before execution. Mio also learns team preferences and business context over time, becoming more accurate the more it is used, according to the company. The announcement offers no technical detail on the learning architecture or how data is retained.

Existing tools "create more work," the company argues, because they hand execution back to the user. Mio tries to invert that: instead of answering questions, it carries out end-to-end actions — updating documents, writing code, updating CRM, coordinating calendars, researching companies before a call, and posting meeting summaries with action items to the general channel. The promise: "your best employee, always up to date, never interrupting, and getting sharper the more you use it."

The release does not disclose who is behind the product, what the pricing model will be, which language models power the system, or what privacy and security guardrails exist for sensitive enterprises. There is also no mention of SLA, Hebrew support, or an on-premises deployment option. Until technical details and independent benchmarks appear, Mio remains a product announcement, not a proven capability.