Claude for Teams is the shape of AI assistance built around the team, not the browser tab. Runbear ships shared agents into Slack and Microsoft Teams, with per-user permissions on a shared identity and an audit log of every prompt and reply.
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Claude for Teams is the shape of AI assistance built around the team instead of the browser tab. Runbear runs Claude as a named teammate in Slack and Microsoft Teams, with one shared agent serving the whole team, per-user permissions on every stack read, and an audit log of every prompt and reply. Across 40+ customer workspaces, 60%+ of seats are still active weekly at 30 days. That's adoption that compounds, not seat utilization.
Claude Enterprise gives you per-seat licenses. Runbear gives your shared Claude agents per-user authentication, audit logs, and SSO/SCIM — the structural feature your security team will ask for before signing.
Used by Matillion and other Anthropic-customer mid-market SaaS teams.
One named teammate the team @-mentions in Slack and Teams — not 15 private chat tabs that never share state. Capacity-priced, so adoption is what compounds, not seat utilization.
Shared identity, per-user permissions. The agent reads Notion, Drive, Salesforce, GitHub with the requester's own access — never a god-mode service account.
Every prompt and reply, attributed to the original requester, exportable to your SIEM. Legal and security review on Day 1, not Day 90.
Okta, Azure AD, Google Workspace. Auto-provision and auto-deprovision so off-boarding flows through the same identity layer as the rest of your stack.
Hours reclaimed, FTE recovered, dollars saved — broken down per named agent on a dashboard your CFO can defend.
Runbear lives in your CS channels. It surfaces churn signals before they hit the renewal call, drafts QBRs from your product-usage data, and gives non-technical CSMs leverage on 40+ accounts each.
Across 40+ customer workspaces, Runbear powers the shared AI teammate inside teams as varied as 12-person CS shops and 200-person engineering orgs. The same shared-agent model serves HR teams answering benefits questions, on-call engineers correlating alerts, and AEs prepping deal briefs. The team's adoption curve runs steeper than the seat curve: 60%+ of seats stay active weekly at 30 days, because the agent is in the channel the team already lives in, not in a browser tab no one opens.
We watch teams try personal Claude first. A few power users hit it hard. The rest of the team never opens it. Three months later the seat-utilization chart looks like the chart we expected from any per-seat AI license: a long tail of dead seats with a small group carrying the math.
Then the same teams move to Runbear. The agent shows up in #cs-questions, in #ask-people, in the deal channels people already live in. Adoption flips. The team that wouldn't open a browser tab for the AI assistant will answer in the same Slack channel they already use for everything else.
Two years of data across 40+ workspaces says the same thing. Teams that adopt Runbear inside their team's existing channels keep 60%+ of seats active weekly at 30 days. The pattern is the assistant going to the team, not the team going to the assistant.
When the agent doesn't know, it says so. Across our customer workspaces, about 15% of knowledge questions hit a "route to a human" path within 30 seconds. Another small slice return the wrong answer and get a thumbs-down from the channel. Both go into the correction loop: the agent reads the team's response, asks a follow-up if needed, and updates its handling for the next time the same shape of question shows up. The agent doesn't get smart on its own. The team's corrections make it smart.
Kick off client projects with contractors and experts who ramp up instantly. The team's context is in Slack from day one.
Every client team gets a named agent with the context the engagement needs. Onboarding new collaborators stops being a tax.
Customer success, support, and engineering share one teammate in Slack. Adoption stays above 60% weekly at 30 days.
Most teams ship a first working agent inside a 30-minute call. No engineering required, no procurement gate to start.
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