What does Runbear give an enterprise that Claude alone doesn't?

A per-seat AI license is a private tool. Runbear is a teammate: shared agents that live in Slack, read your stack with per-user permissions, and produce an audit log your security team will accept.

Teams already running Runbear

Snow Lee

Founder, Runbear

We've helped 600+ companies adopt AI. The successful ones didn't pick a smarter model. They put it inside the everyday tools their team already uses. That's why I built Runbear.

Adoption that proves out
60%+/ 30 days
weekly active seats on Runbear (n = 40+ workspaces)

Most teams that bought ChatGPT or Claude Teams plateau under 20% weekly active use after 90 days — three power users, the rest never log in. Runbear crosses 60%+ in the first 30. Same seats, real workflows.

Adoption deltas are Runbear's own onboarding data across 40+ customer workspaces, March 2026.

Three jobs Claude doesn't do for your team. Runbear does all three.

Employees build

Non-technical teams launch their own agents in one click. Configure through chat. No engineering ticket.

Send the marketing campaign report every weekday at 9am

Scheduled · first run tomorrow 9:00 AM

Teams share

One agent, every teammate. Each request runs with the asker's own permissions — no copy-pasting prompts, no shared logins, no leaks.

+9
Sales · CS · Eng
Per-user auth · inherits asker's perms
Audit log · every prompt + tool call
SSO / SCIM · Okta · Google · Azure

CFOs see proof

One dashboard: which agent saved which team how many hours, last week. Plus a read-only audit of every workflow that repeats.

The three moments

You don't open Runbear. Runbear shows up.

Claude waits to be asked. Runbear watches the work and contributes when work happens.

When a customer escalates
A churn-risk word hits #cs-escalations. Runbear pulls the account history, drafts the response, and pings the owner before anyone has to refresh Zendesk.

When your meeting ends
Runbear posts a summary, action items, and a follow-up email draft to your DMs. The follow-up is half done before the next call.

When an order arrives by email
Runbear parses the order, checks inventory, drafts the confirmation, and pings the right approver. The rep sees finished work, not raw email.

Three example triggers. Your team configures the rest in chat.

Give every team their own named teammate.

Each one comes with its own permissions, tools, and tone — some answer privately, some take action publicly, all stay in the channel where the work already happens.

Runbear works inside Slack. It reaches into the 12 tools your team already pays for.

Reads from Notion, writes to Linear, looks up your CRM, pulls Fireflies summaries — all from inside the channel where the question was asked.

• Per-user auth agent inherits the asker's permissions
• Real-time webhooks no polling, no stale answers
• Bring your own tool wire any internal API in chat

Find your team. Find what changes Monday morning.

Or read the hub for Claude for Teams— the shared-agent identity model these team patterns are built on.

Why not just use Claude?

Claude is your AI assistant. Runbear is your team's AI teammate.

Everything but workflow analysis is GA today. Already on Claude? We run on top of it. See the full comparison

For your CFO

Customer Success team (15 CSMs, 40+ accounts each)

Saved $170K Investment $5K

Time reclaimed
4 hrs / CSM / week × 15 × 48 = 2,880 hrs / year

FTE recovered
~1.4 FTE
Saved ~ $170,000 / year (at $120K fully loaded per CSM)
Runbear investment $4,788 / year (Business, annual)
Net ROI year 1
9x to 35x

Sales Ops team (5 analysts)

Saved $78K Investment $5K

Time reclaimed
5 hrs / analyst / week × 5 × 48 = 1,200 hrs / year

FTE recovered
~0.6 FTE
Saved ~ $78,000 / year (at $130K fully loaded per analyst)
Runbear investment $4,788 / year
Net ROI year 1
~16x

Across the company (50+ employees)

Saved $300K Investment $10K

Agents in production
30+ named agents across 5 teams (CS, Sales Ops, HR, Support, Eng)

Time reclaimed
~6,000 hrs / year, cumulative

FTE recovered
~3 FTE
Saved ~ $300,000 / year (sum across teams)
Runbear investment
Enterprise (custom)
Net ROI year 1
25x+ at typical deployment

Numbers above are illustrative; sources span customer production data and benchmarking models. Your team's math will differ.

When the agent gets it wrong.

About 15% of knowledge questions and 30% of customer-facing tasks need a human. Three ways to keep the agent honest: corrected, gated, or stopped. No Jira tickets needed.

Per-message corrections

Edit any reply in Slack; correction syncs back to the agent's knowledge.

Topic gates

Lock agents to specific channels or topics. Configure with one toggle.

Human-in-the-loop

Set approval gates on sensitive actions — refunds, deletes, sends.

Audit logs cover every prompt, tool call, reply, and correction. SIEM-exportable.

Where Runbear gets it wrong

We're honest about the 15 to 30% the agent shouldn't handle.

Ambiguous, judgment-heavy questions

Stale or contradictory source material

Drift into the wrong channel

What it gets right, consistently

Repetitive knowledge work: 'is this a known issue', 'what did we promise this account', 'where's the doc on X', 'open a Linear ticket from this thread'. About 70 to 85% of incoming volume in a typical CS or sales-ops team.

Enterprise plan

Real partners, not just seats.

Dedicated CSM

Shared Slack channel

99.9% uptime SLA

SSO, SAML, and SCIM

Custom DPA and security review

Custom volume and invoicing

Team and Business plans get SOC 2 Type II, per-user auth, and standard support. Enterprise adds everything above.

Go deeper

Where to read more next.

Enterprise AI Chatbot vs ChatGPT/Claude: What's the difference?
For teams that already share Slack
Pricing built for shared agents

Bring a real workflow. Runbear wires it live, ships it to your Slack by end of call.

Most enterprise pilots ship a first working agent inside a 30-minute call. No engineering required, no procurement gate to start.