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
For Enterprise · Buyer's Hub
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.
No credit card needed
TRUSTED BY LEADING INNOVATORS
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.
Snow, writing this himself. If a sentence here doesn't match something you find in product, email me at [email protected] and I'll fix it.
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.
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.
@SalesOps587 q / wk
@HR412 q / wk
@Support289 q / wk
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.
Reads
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.
Reads
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.
Reads
Three example triggers. Your team configures the rest in chat.
Named agents per team
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.
Private draft
#people-help18
Maya3 min ago
@HR can I expense the conference dinner I had with a candidate last Thursday?
HRAPPNowOnly visible to you
Each agent has its own permissions, audit log, and knowledge sources.
Reads your stack. Writes back to it.
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 authagent inherits the asker's permissions
- Real-time webhooksno polling, no stale answers
- Bring your own toolwire any internal API in chat
Notion
Linear
HubSpot
Gmail
Github
Fireflies
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.
Customer Success
4 hrs / CSM / week back
Renewal drafts, QBR notes, and churn signals from usage and support data, 6 to 10 weeks before the call.
See CS use casesOperations
Monday standup 30 min shorter
KPI digest auto-posted at 8am. Action items pulled out of Slack before anyone meets.
See Ops use casesSales & RevOps
2 hrs / rep / week back
"What's at risk in my pipeline?" answered with each rep's own data — never the whole team's.
See Sales use casesPeople & HR
60–70% of policy pings deflected
New hires DM @HR instead of their manager. The handbook becomes the assistant.
See People use casesEngineering
~40% of oncall pages avoided
The triage agent answers in-channel before anyone gets paged at 2am.
See Eng use casesMarketing
Briefs in 5 min, not 5 days
Pulled from past winners. Weekly performance digest, no spreadsheet copy-paste.
See Marketing use casesWhy not just use Claude?
Claude is your AI assistant.
Runbear is your team's AI teammate.
Identity
ClaudeOne @Claude bot per user
RunbearMultiple named agents per team (@HR, @SalesOps)
Behavior
ClaudeReactive (answers when asked)
RunbearProactive (watches channels, triggers on events)
Auth
ClaudeOne account per person
RunbearPer-user auth on a shared agent
Observability
ClaudePer-user usage
RunbearPer-agent ROI dashboards across the org
Workflow analysis
ClaudeNot in product
RunbearRead-only usage view today; AI-suggested rollout in 2026 H2
Everything but workflow analysis is GA today. Already on Claude? We run on top of it. See the full comparison
Operator's section
What operators measure.
Time returned, escalations honest.
Time saved per task
Weekly status report−12m
Before
15m
After
3m
RFP question−18m
Before
22m
After
4m
Post-meeting follow-up−25m
Before
28m
After
3m
−12 min
weekly status reportdrafted, sources cited
−18 min
RFP questionanswered with the right policy
−25 min
post-meeting follow-upemail drafted, CRM updated
Escalation rate
Knowledge agentshuman
Customer-facing tasks
~15%
knowledge agents routed to a human
~30%
customer-facing tasks escalated
Buyer questions, answered
Everything an enterprise buyer asks before signing.
Direct answers in the first line. Detail on tap.
The pattern · 600+ rollouts
What a working rollout actually looks like.
600+ companies have rolled out AI on Runbear. The pattern we see most often: a CS team or sales-ops lead invites Runbear into one channel, connects 2 to 3 tools, and watches the agent answer the questions that used to route to engineers.
By month two, the agent handles 70–85% of the channel volume, and the team's internal measure of hours reclaimed is the line they take to their CFO.
Pattern aggregated across rollouts. Your team's math will differ.Read named customer stories
For your CFO
What does this look like in dollars.
Customer Success team (15 CSMs, 40+ accounts each)
Saved $170KInvestment $5K
$170K
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
Sensitivity, 25% conversion = ~9x. Claude alone: ~$5K/yr in seats, no shared agents
+ Revenue upside (not in ROI above)
~$200,000 / year retained (2% churn reduction on a $10M book)
Sales Ops team (5 analysts)
Saved $78KInvestment $5K
$78K
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
Claude alone: ~$1.8K/yr in seats, manual prompting only
+ Revenue upside (not in ROI above)
~$150,000 / year incremental (0.5% win-rate lift on $30M pipeline)
Across the company (50+ employees)
Saved $300KInvestment $10K
$300K
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
Claude alone: per-seat sprawl, no per-agent ROI view across the org
+ Revenue upside (not in ROI above)
~$500,000 / year composite (retention, expansion, win-rate gains)
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.
Refund processed in 5–7 business days.
Refund processed in 3 business days.
saved to @support knowledge
Per-message corrections
Edit any reply in Slack; correction syncs back to the agent's knowledge.
#salesoff
#hr-privateoff
#legaloff
#cs-tier1off
Topic gates
Lock agents to specific channels or topics. Configure with one toggle.
PENDING APPROVAL
Issue refund of $2,450 to acct CRM-8821?
@sarah.j approval required · finance gate
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.
No-fluff list of the failure modes we see in production, and what we ship to keep them from becoming your problem.
Ambiguous, judgment-heavy questions
Pricing exceptions, refund decisions, anything that touches policy. The agent can summarize the case, but the call belongs to a person.
What we ship: Approval gates. The agent drafts, a named human signs off.
Stale or contradictory source material
If your Notion has two pages disagreeing about a policy, the agent will pick one. That's not the agent's bug. It's a knowledge-base hygiene gap we can't fix for you.
What we ship: Per-message corrections sync back into the agent's knowledge so it stops repeating the wrong page.
Drift into the wrong channel
Without controls, a generally-helpful agent will try to be helpful in places it has no business being (private founder DM, deal-room channel, board prep).
What we ship: Topic gates. Agents are scoped to specific channels and topics by default.
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.
What we ship: Full audit log on every reply so you can verify, not just trust.
Enterprise plan
Real partners, not just seats.
Everything below lands with the Enterprise plan. Custom pricing scales with your team and your security review.
Dedicated CSM
A named partner who runs your rollout. Office hours, channel-by-channel reviews, and a written check-in at month 1, 3, and 6.
Shared Slack channel
Direct line to Runbear engineering and support. P1 response in business hours; on-call rotation for production incidents.
99.9% uptime SLA
Backed by a multi-region deployment and active monitoring. Status updates and post-incident reports go through the shared channel.
SSO, SAML, and SCIM
Plug Runbear into Okta, Azure AD, or your identity provider of choice. Automatic provisioning and de-provisioning included.
Custom DPA and security review
Annual SOC 2 Type II report, signed DPA, BAA-ready posture, and turnaround on your security questionnaire within one week.
Custom volume and invoicing
Negotiated annual credits, NET-30 invoicing, multi-org consolidated billing, and a single AP contact for procurement.
Team and Business plans get SOC 2 Type II, per-user auth, and standard support. Enterprise adds everything above.
SOC 2 Type II
in production
Per-user auth
on shared agents
Cancel anytime
no annual lock-in
Go deeper
Where to read more next.
Enterprise AI Chatbot vs ChatGPT/Claude: What's the difference?
How a shared, governed AI chatbot differs from per-seat ChatGPT or Claude licenses.
Read the comparisonFor teams that already share Slack
Multi-team rollout patterns, per-team agents, and shared knowledge across channels.
See the Teams pagePricing built for shared agents
Credits, not seats. The Enterprise plan adds custom volume, SSO, and dedicated support.
View pricingBring 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.
No credit card needed