Updated May 2026. Reading time: 9 minutes.

AI for Teams: How AI Fellows Work in Slack and Microsoft Teams

A FellowHire fellow lives where your team already lives. Slack or Microsoft Teams. Each fellow is custom-built for one role and serves the whole team. Here is what that means, how the two platforms compare, and how to pick the right one for your team.

What it means for AI to live in your team's workspace

Most AI tools sit in their own tab. You open the tab. You log in. You ask a question. You copy the answer back into Slack or Teams to share it with the team. Then you close the tab and forget about it.

A FellowHire fellow lives in your team's workspace. There is no new tab to open. There is no new login. The fellow is a user in your Slack or Microsoft Teams, and your team talks to it the way they talk to each other.

This sounds small. It is not. The friction of switching tools is what kills AI adoption. If your team has to leave the place they are working to ask the AI a question, they will use it once and never come back. If the AI is already in the channel, they will use it every day.

A fellow that lives in your workspace also keeps shared context. What your account exec asked it this morning is something your founder can build on this afternoon. The fellow remembers because it is a shared team resource, not a per-person assistant.

Slack vs Microsoft Teams: which one for your team?

The honest answer is that most teams already know which one they use. If your team lives in Slack, that is the answer. If your team lives in Teams, that is the answer. FellowHire fellows work in both.

If you are picking from scratch, here is the practical read.

Slack

  • Common at startups, agencies, and tech-first teams
  • Wider third-party app ecosystem
  • Simpler bot user model
  • Channel-based by default, low setup friction
  • Per-workspace pricing
Read the full guide →

Microsoft Teams

  • Common at enterprises, regulated industries, and Microsoft 365 shops
  • Bundled with M365 license
  • Tenant-level admin controls
  • Stronger out-of-the-box compliance posture for some sectors
  • Microsoft Teams app store with Microsoft-specific governance
Read the full guide →

Both platforms work for FellowHire fellows. Pick based on where your team already is. If you use both, your fellow can live in both.

What an AI fellow does in your team chat

A fellow is not a chatbot. It does the work end to end. Here are concrete examples from four different fellows, all running inside Slack or Teams.

Sales Fellow

Casey

A new lead drops into the #sales-inbound channel. Casey pulls the company info, scores the lead against your ICP, drafts the first outreach email in your tone, and posts it back in the channel for the AE to review. The AE hits "send". Casey logs the activity in HubSpot.

Paralegal Fellow

Quinn

An attorney drops a client intake into the #intake channel. Quinn summarizes the matter, pulls the right service agreement template from your library, fills in the client-specific details, and flags any clauses that need attorney review. The attorney reviews and sends.

Executive Assistant Fellow

Hayden

A founder drops a calendar mess in the DM. Hayden looks at the conflicting holds, suggests the cleanest reschedule, drafts the reply emails, and waits for the founder to approve before sending.

Customer Success Fellow

Sage

A renewal date approaches. Sage pulls the customer's usage data, drafts a renewal-readiness summary in the #cs channel, flags churn signals, and suggests a renewal play. The CSM uses it to drive the renewal conversation.

Each fellow runs in the same Slack or Teams workspace your team already uses. The team sees the work happen. The fellow learns from the team's feedback in the channel.

Permissions and scoping in shared workspaces

A fellow in your Slack or Teams is a user in your workspace. The whole team can talk to it. That matters because role-specific work is rarely a one-person job. The Sales fellow serves the AE, the SDR, the sales manager, and the founder. The Paralegal fellow serves every attorney in the firm. Treating the fellow as a shared resource is the point.

Shared does not mean unscoped. A fellow only sees the channels you invite it to. If you put the Sales fellow in #sales and #sales-inbound, that is what it sees. If you put the Paralegal fellow in #intake and #matters, that is what it sees. The fellow does not crawl the rest of your workspace.

Each fellow runs with its own permissions. The Sales fellow has a HubSpot scope. The Paralegal fellow has a Clio scope. Permissions are role-specific and minimum-needed by design. No fellow gets workspace-wide read access.

When your team adds a new channel, you decide which fellows belong there. Most teams keep fellows narrow on day one and expand scope over the first month as trust builds.

Security in shared team channels

Security in a shared workspace looks different from security in a single-user tool. The fellow handles team data, not personal data. The bar is higher. We treat it that way.

Channel-level access. Audit trails on every fellow action. Role-scoped permissions for every integration. The fellow never sees a channel it was not invited to. The fellow never connects to a tool you did not authorize.

FellowHire is SOC 2 and ISO 27001 compliant. Encrypted in transit (TLS 1.3) and at rest (AES-256). No-training enterprise agreements with OpenAI and Anthropic.

AI fellow vs siloed AI tool

AI fellow in Slack or Teams

  • Lives where your team already works
  • Custom-built for one role, used by the whole team
  • Shared team context across every conversation
  • Channel-scoped permissions, audit trails on every action
  • One predictable annual price for the whole team

Siloed AI tool

  • Lives in its own tab with its own login
  • Generalist by design, one user at a time
  • Per-user context, no team-shared memory
  • Workspace-wide scopes are common, audit trails are not
  • Per-seat pricing that scales with team size

The siloed model works for personal-productivity AI. It does not work for team-based work. Team-based work needs a fellow in the team's workspace.

Choosing the right fellow for your team

Pick the role first. The platform comes second. Most teams have one role that is buckling under volume. That is the role that gets the first fellow.

Common starting roles for our customers: Sales, Support Engineer, Paralegal, Executive Assistant, Customer Success, Market Researcher. Each is a single person or small team being asked to do too much. Each has a clear playbook. Each maps cleanly to a fellow.

Once the role is picked, we install the fellow in the platform your team uses. Slack or Teams. Same fellow, same training, same outputs.

Frequently asked questions

No. Most teams use one or the other already. Whichever your team uses is where the fellow goes. If your team uses both, your fellow can live in both.

Only the channels you invite it to. The fellow does not crawl the rest of your Slack or Teams. You control which channels each fellow joins.

Yes. That is the point. Anyone in the channels the fellow is invited to can talk to it. The fellow is a shared team resource, not a per-person tool.

Slack AI and Microsoft Copilot are general-purpose assistants. They help one user with one prompt at a time. A FellowHire fellow is role-specific and team-shared. Different jobs, different bets.

FellowHire is SOC 2 and ISO 27001 compliant. Encrypted in transit (TLS 1.3) and at rest (AES-256). No-training enterprise agreements with OpenAI and Anthropic. Read more.

About a week. Day one is scoping. Days two through seven are custom build. By day eight the fellow is in your workspace and starting to work.

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Bring on a fellow.

Tell us the role and the platform. We will scope, build, and ship in about a week. Slack or Microsoft Teams. Your team's workspace, your team's tools, your team's tone.