Product Introduction
- Runbear is an AI-powered platform that enables teams to create and deploy customizable AI agents directly within collaboration tools like Slack, Microsoft Teams, Discord, and Zendesk without requiring coding or flowchart design.
- The core value of Runbear lies in its ability to automate repetitive workflows, answer questions, generate reports, and handle scheduling by learning from a team’s existing communications, documents, and integrations, effectively acting as a scalable AI teammate.
Main Features
- Runbear integrates natively with Slack, Teams, Discord, and other collaboration platforms, allowing AI agents to operate within existing workflows without requiring users to switch interfaces or learn new tools.
- The platform uses machine learning to analyze team interactions, documents, and feedback, enabling AI agents to autonomously improve their responses and actions over time while leveraging 2,700+ integrations like Google Drive, Salesforce, and Notion.
- Runbear’s Smart Delegation feature identifies repetitive tasks such as data extraction, meeting preparation, and customer query resolution, then proactively suggests automation opportunities to reduce manual workloads.
Problems Solved
- Runbear eliminates time-consuming manual processes like data entry, report generation, and meeting coordination by enabling AI agents to handle these tasks with minimal setup.
- The product targets teams and organizations using Slack, Teams, or similar platforms who need to streamline workflows, reduce repetitive tasks, and improve response times for internal or customer-facing queries.
- Typical use cases include automating Excel data queries in Slack, summarizing Linear ticket updates for global teams, converting Slack threads into Notion PRDs, and prioritizing Zendesk support tickets via sentiment analysis.
Unique Advantages
- Unlike traditional automation tools requiring flowcharts or coding, Runbear uses natural language interactions in Slack/Teams, allowing users to build and train AI agents through simple conversations.
- Runbear is the first Slack MCP (Managed Conversational Platform) client, enabling direct integration with advanced AI models like Claude for real-time, context-aware responses without external setups.
- The platform’s combination of no-code deployment, real-time learning, and prebuilt integrations with 2,700+ tools provides a faster time-to-value compared to competitors, with agents operational in under 10 minutes.
Frequently Asked Questions (FAQ)
- How does Runbear integrate with existing tools like Slack or HubSpot? Runbear connects natively to Slack, Teams, Discord, and CRMs like HubSpot via prebuilt integrations, allowing AI agents to access data, trigger actions, and respond to queries without API coding.
- Can I customize an AI agent for specific tasks like customer support or data analysis? Yes, users can train agents using Slack conversations, documents, or integrated data sources to handle specialized tasks such as Zendesk ticket prioritization or Airtable data queries via natural language.
- What technical skills are required to deploy Runbear? No coding is needed—agents are built through chat-based configuration, and integrations are enabled via guided setups for tools like Zapier, Notion, and Google Drive.
- How does Runbear ensure data security in shared workspaces? Runbear adheres to enterprise-grade security standards, including encryption and compliance with SOC 2, and operates within the permissions of connected platforms like Slack without storing sensitive data externally.
- Can Runbear automate multi-step workflows across different apps? Yes, agents can execute cross-platform workflows, such as summarizing Slack threads into Google Docs, triggering Zapier actions via natural language commands, or syncing Jira updates with Notion databases.