Use cases
AI Assistant for Microsoft Teams
An AI assistant for Microsoft Teams works inside your channels and DMs to answer questions, draft and triage messages, and act in connected tools like Gmail, Notion, and Linear. Arlo runs every action through policy with reviewer approvals and keeps a full audit trace, so IT and compliance stay in control.
An AI assistant for Microsoft Teams works inside your channels and DMs to answer questions, draft and triage messages, and act in connected tools like Gmail, Notion, and Linear. Arlo runs every action through policy with reviewer approvals and keeps a full audit trace, so IT and compliance stay in control. Nobody has to learn a new app. Your team talks to Arlo where the work already happens.
What an AI assistant in Microsoft Teams does
Arlo is an AI colleague that sits in Teams next to your people. Your team @-mentions it in a channel or sends a DM, and the work happens in the thread instead of across a dozen tabs. It answers from persistent memory and your connected sources, drafts replies and documents for review, triages the messages and requests piling up, and takes action in connected tools when you let it. It also runs scheduled work on its own and sends a morning briefing of what changed overnight.
Concrete Microsoft Teams scenarios
The value is easier to see in a normal workday than in a feature list.
- A project channel asks "where did the Q3 launch land?" Arlo reads the thread, pulls the latest Linear status, and posts a recap.
- A manager DMs "draft a reply to the vendor and create a follow-up task." Arlo writes the email in Gmail and opens a Notion task, both held for your approval.
- An ops lead says "check the renewal date in our contract folder and remind me Friday." Arlo schedules it.
- A new hire drops a policy question in a channel. Arlo answers from connected knowledge sources instead of pinging someone who's heads-down.
Governance and admin controls
This is the part IT cares about, so it's on by default. Every connection resolves through policy before a run starts. Drafts, sends, and tool writes wait for a reviewer you pick. And every tool call, source, and approval lands in an audit trace you can open later.
The Business plan adds what larger orgs ask for: admin policy, roles, SSO, and audit export. You decide what Arlo is allowed to do, who signs off on sensitive actions, and how activity gets logged across the workspace.
Tools with and without an API
Arlo connects to Slack, Gmail, Notion, Linear, GitHub, and 3,000+ tools. Plenty of internal systems have no API at all. For those, Arlo logs in once in a secure browser session and clicks, reads, and fills forms the way a person would, so the legacy portals and one-off internal tools stay reachable from Teams.
Microsoft Teams vs other surfaces
Arlo is one colleague across every surface your team uses. Same memory, same governance. The only thing that changes is where you reach it.
| Surface | Best for | Same memory & governance |
|---|---|---|
| Microsoft Teams | Channel + DM help, IT-governed orgs | Yes |
| Slack | Channel-based collaboration | Yes |
| iMessage & SMS | On-the-go, founders, mobile-first | Yes |
| Phone calls | Live voice tasks and reminders | Yes |
When your team is scattered across tools, Arlo still keeps one set of memory, policies, and audit traces no matter where a request comes in. See how it runs in Slack, or compare roles like an AI executive assistant and an AI personal assistant.
Who benefits most
The fit is strongest for teams already living in Microsoft 365 that care about staying in control.
- Founders who want more done without adding another app to the stack.
- Sales teams triaging follow-ups and CRM updates.
- Realtors juggling clients and documents.
- IT and operations leaders who need approvals and audit export in place before rolling AI out to everyone.
Try Arlo
Bring an AI colleague into Microsoft Teams, plus Slack, iMessage, and calls, with governance on from day one. Sign up to get started, or dig into more in our resources.
Last updated June 19, 2026