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AI Agent Solutions for ChatBotKit

AI agents resolve employee FAQs instantly in Slack or Teams using ChatBotKit knowledge, slashing response times and boosting team satisfaction. Enhance your ChatBotKit workflows with AI-powered automation in Slack, Teams, and Discord.

Smart Internal Support Across Platforms
AI agents resolve employee FAQs instantly in Slack or Teams using ChatBotKit knowledge, slashing response times and boosting team satisfaction.
Automated Conversation Summaries & Insights
Scheduled AI agent digests highlight trends and open issues from ChatBotKit chat logs, keeping teams informed and proactive.
Instant AI-Driven Training Assistants
AI agents deliver onboarding and training from ChatBotKit content, guiding new team members directly in their preferred channel.
Proactive FAQ & Documentation Lookup
AI agents search synced ChatBotKit data to answer team questions, ensuring everyone accesses the latest policies and how-to guides instantly.
Automate Your ChatBotKit Workflows with AIStart your free trial and see the difference in minutes.

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ChatBotKit is a leading platform for building conversational AI agents and chatbots—but what if you could supercharge every ChatBotKit workflow with a smart AI agent directly inside your team’s chat? With Runbear, your team can seamlessly connect ChatBotKit to Slack, Microsoft Teams, or Discord, transforming routine conversations into automated, data-driven collaboration. This integration lets AI agents retrieve knowledge, summarize conversations, and automate workflows based on natural team interactions, helping businesses unlock smart automation and next-level productivity.

About ChatBotKit

ChatBotKit is a powerful conversational AI platform designed for businesses to create, customize, and deploy advanced AI agents and chatbots. It delivers modular, low-code tools for building conversational flows, integrating bots into websites, or launching them in major messaging platforms like Slack, Discord, and WhatsApp. Key features include fully customizable AI agent creation, seamless multi-platform integration, AI widget embedding, and strong compliance with enterprise security standards. ChatBotKit’s target users range from customer support teams and HR departments to marketing professionals and IT, helping organizations expand engagement, improve support, and reduce manual intervention across digital channels. Companies run ChatBotKit to enhance customer interactions, boost efficiency, and consolidate their conversational AI operations in one place.

Use Cases in Practice

Pairing Runbear’s AI agent capabilities with ChatBotKit’s conversational platform empowers teams to maximize both collaboration and workflow automation. For instance, HR teams can set up an AI agent to answer policy questions by searching ChatBotKit knowledge in Slack, which ensures fast, consistent employee support. Operations managers might rely on scheduled daily reports, where AI agents summarize ChatBotKit bot conversations to spotlight emerging issues before they escalate. In onboarding scenarios, AI agents trained on ChatBotKit documentation provide new team members with interactive onboarding and training directly within their work chat—no more searching through scattered Wikis or lost emails.

Another practical benefit: whenever a team member needs the latest policy or how-to, they can simply ask the AI agent in Slack or Teams. The agent taps ChatBotKit’s up-to-date knowledge to deliver instant, accurate answers, driving better compliance and reducing duplicate questions. This kind of smart automation makes workflows smoother—mirroring use cases like Let Slack Threads Write Your PRD — Powered by Notion MCP and AI Assistants for Customer Support, where AI agents unlock self-service and reduce manual support overhead. Teams quickly move from reactive response to proactive, AI-powered engagement, boosting overall productivity and employee satisfaction.

ChatBotKit vs ChatBotKit + AI Agent: Key Differences

ChatBotKit Comparison Table

Integrating ChatBotKit with Runbear transforms team workflows from siloed chatbot interactions to intelligent, AI agent–driven automation directly inside Slack, Teams, or Discord. Where ChatBotKit alone offers manual bot management and basic platform coverage, the integration empowers teams to access enterprise search, run scheduled actions, and leverage deep workflow automation with no context-switching. AI agents understand team needs and turn team chat into a command hub for knowledge retrieval and productivity.

Implementation Considerations

Adopting a ChatBotKit and Runbear integration requires teams to consider several factors. Setup involves syncing ChatBotKit’s data with the AI agent—defining clear knowledge management processes and permissions to maintain data privacy. Teams should invest in initial training: both in how to interact with the AI agent and in optimizing ChatBotKit flows for enterprise search. A strong change management plan is key, as team members adjust to using AI agents as daily collaborators in Slack or Teams. Costs may include platform subscriptions and some upfront configuration—but the productivity benefits often outweigh these. Security and compliance are crucial; ensure both ChatBotKit and Runbear are deployed with proper access restrictions and audit trails, especially when handling sensitive HR or customer data. Lastly, organizational readiness for automation is vital: teams with mature chat workflows see the fastest, most impactful results.

Get Started Today

Combining ChatBotKit with Runbear’s AI agent platform future-proofs your team’s collaboration and automation workflows. By unlocking smarter knowledge retrieval, automated insights, and on-demand support right inside Slack, Teams, or Discord, you create a more agile, informed, and efficient workplace. Whether you’re aiming to streamline support, improve training, or automate documentation searches, Runbear and ChatBotKit together deliver the AI-powered edge teams need. Ready to bring next-level team automation to your chat? Try the ChatBotKit + Runbear integration and experience the difference intelligent agents can make.