What is an enterprise AI chatbot?
An enterprise AI chatbot is a shared AI assistant for a team, not a per-seat license for one person.
A search box on a single Claude or ChatGPT seat is not an enterprise AI chatbot. Three properties separate the category: shared by default (one agent serves the whole team in the channel they already use, no per-seat browser tab to open), connected to the stack (works with documents, tickets, CRM records, and dashboards, and tools connected Per-User act with the requester's own account instead of a god-mode service account), and auditable (the agent's Activity tab shows its runs, including the tools it called, and an audit log records configuration changes).
How is it different from ChatGPT or Claude?
Runbear gives the team shared agents, governed access, and an audit log. Three things per-seat licenses can't ship.
ChatGPT and Claude solve the individual problem: one person, one browser tab, one conversation. They do not solve the team problem. Runbear runs as a shared teammate inside Slack and Microsoft Teams. The team's knowledge lives with the shared agent, not inside one person's private account. Tools connected Per-User act with the requester's own account, not a god-mode service account. And on the Business and Enterprise plans, an audit log records every configuration change, exportable as CSV or JSON for your SIEM. Per-seat licenses ship none of these.
What enterprise teams use it for
Most teams roll out Runbear inside the channel where the work is already happening: CS in #cs-questions, on-call in #incidents, HR in #ask-people.
Four shapes anchor most enterprise deployments. Customer support inside Slack: the CS team @mentions the agent in a channel, the agent answers from the knowledge base, retrieves the customer record, and drafts a reply. Internal help desk: HR, IT, and Finance route their FAQ to one agent; employees ask in Slack, the agent answers from policy documents and ticket history. Sales and revenue ops: account executives ask for a competitor brief or pricing comparison in the deal channel; the agent reads the CRM and the latest battlecards. Engineering and on-call: the agent watches an alert channel, correlates against runbooks, and proposes the next-step command for a human to approve.
Security and compliance
Runbear ships with the controls enterprise security teams gate on: SOC 2 Type II, per-user auth on connected tools, an audit log of configuration changes, and SAML SSO.
SOC 2 Type II in production. Each connected tool is authorized Per-User or Shared. With Per-User, each member links their own account, so a finance analyst asking for a deal record in Salesforce only sees what they could see in Salesforce directly. Knowledge sources such as Notion or Google Drive sync through the account of the member who connected them. Data is encrypted at rest and in transit. Runbear does not use your data to train AI models. On the Business and Enterprise plans, the audit log records configuration changes (who changed what, from where, and when) and exports as CSV or JSON, and members sign in with SAML SSO. SCIM provisioning is on the Enterprise plan.
Deployment time and rollout
There is no engineering ticket. A team lead describes the agent in plain English and connects the tools it needs.
The full rollout shape on a typical enterprise: a workspace admin clicks the install link (one install covers the whole team), the team lead describes the agent in plain English and connects the tools and knowledge sources it should use (Notion, Confluence, Google Drive, Salesforce, HubSpot, Zendesk, GitHub, and more), and the agent answers in the channel from day one. Setting up an agent takes about 10 minutes. The first 30 days is the adoption curve, not the build curve.
Cost and pricing posture
Runbear charges by usage, not per seat, because adoption is what compounds, not seat utilization.
Per-seat licenses are an adoption tax: when you pay $30 per user for an AI seat, you have to drive every user to log in every month to make the math work. Most enterprise deployments do not hit that bar. Runbear charges by usage, not by seat. One subscription covers every teammate who uses your agents in Slack or Microsoft Teams. Plans include a set number of builders, the members of your Runbear organization who create and manage agents in the dashboard: 5 on Team and 10 on Business. Usage is metered in credits, based on the tokens each model call uses and the model you choose for each agent. Team is $99 per month with 20,000 credits, and Business is $399 per month with 100,000 credits. Enterprise pricing is custom.
