Back to list

Integrate Chatlayer with AI Agents

AI agents deliver scheduled Chatlayer bot performance reports as charts and insights, right inside your team’s chat channel. Enhance your Chatlayer workflows with AI-powered automation in Slack, Teams, and Discord.

Automate Chatlayer Reports in Slack
AI agents deliver scheduled Chatlayer bot performance reports as charts and insights, right inside your team’s chat channel.
On-Demand Chatlayer Data Insights
Team members can query Chatlayer metrics and analytics in natural language—AI agents return instant answers and visual summaries.
Centralize Multilingual Knowledge Support
AI agents sync Chatlayer documentation, enabling teams to search, share, and discuss best practices across languages in Slack or Teams.
Streamline Customer Conversation Reviews
AI agents summarize recent Chatlayer chat logs—helping teams pinpoint trends, customer pain points, and next action items collaboratively.
Automate Your Chatlayer Workflows with AIStart your free trial and see the difference in minutes.
Chatlayer Integration Thumbnail

Chatlayer has revolutionized the way businesses build and deploy chatbots, empowering organizations to automate customer conversations at scale. But what if your team could access Chatlayer’s rich data, analytics, and insights directly inside Slack, Microsoft Teams, or Discord—no logins, no manual exports, no switching tabs? With Runbear’s AI agent platform, your team can supercharge Chatlayer workflows, making automation smarter and team collaboration seamless.

About Chatlayer

Chatlayer by Sinch is a leading AI-powered platform that enables organizations to design, deploy, and manage conversational chatbots and voice bots across more than 100 languages—no coding required. Designed for businesses seeking to automate communication across customer support, sales, and operational channels, Chatlayer offers intuitive no-code bot building, multichannel deployment (text and voice), seamless integration with CRMs and contact centers, and built-in analytics to optimize bot-driven conversations. Leading brands adopt Chatlayer to deliver consistent, scalable, and personalized engagement—accelerating both response times and operational efficiency for global teams and enterprises alike. By democratizing chatbot development, Chatlayer helps teams focus less on technical hurdles and more on better customer journeys and team productivity.

Use Cases in Practice

These four use cases illustrate the real-world impact of integrating Chatlayer with Runbear’s AI agent inside your team’s chat workspace. Imagine your support team getting a daily digest of chatbot engagement metrics every morning, or your marketing team asking an AI agent for the previous week’s customer sentiment summary over coffee—and receiving a visual report in seconds. Runbear’s scheduled jobs ensure teams never miss a key performance update, while smart triggers and knowledge sync keep vital Chatlayer documentation searchable and shareable in Slack. Need to review multilingual chatbot accuracy? Your team can discuss insights collaboratively with instant access to relevant data. This integration turns Chatlayer from a backend tool into a living, breathing part of your team’s everyday workflow.

For teams already leveraging AI for internal analytics, see how Runbear powers Slack-native analytics automation, or explore instant answers for operational data with AI-powered executive dashboards.

Chatlayer vs Chatlayer + AI Agent: Key Differences

Chatlayer Comparison Table

Integrating Chatlayer with Runbear’s AI agent transforms static chatbot management into a dynamic, collaborative, and insight-driven process. While standalone Chatlayer excels at multichannel bot deployment, pairing it with Runbear empowers teams to access, analyze, and act on conversational data as a group—from within their chat tools. Manual exports and isolated dashboards are replaced by real-time, interactive, and scheduled automation, greatly improving team agility and reducing bottlenecks.

Implementation Considerations

When deploying Chatlayer integrated with Runbear’s AI agent, teams should plan for initial setup tasks—such as granting secure access to Chatlayer analytics and ensuring the right AI agent permissions are in place on Slack, Teams, or Discord. Training team members to engage the AI agent using natural language is crucial for maximizing adoption and productivity. Consider data governance: identify which Chatlayer conversations and analytics should be made available via the AI agent to avoid oversharing sensitive information. Evaluate team readiness for change—adopting AI-led workflows in daily collaboration may require a cultural shift. And assess the cost-benefit: while upfront setup is simple, ongoing maintenance should include monitoring usage and adapting scheduled reports or agent triggers as team needs evolve.

Get Started Today

Runbear’s integration with Chatlayer brings the power of conversational AI—not just to your customers, but directly to your team. With AI agents embedding Chatlayer analytics, conversations, and documentation into Slack or Microsoft Teams, your team can make faster decisions, gain richer insights, and automate more than ever—without technical friction. Ready to see how AI agents and Chatlayer can transform your team’s workflow? Start your integration journey with Runbear today and empower your team to realize the full potential of AI-driven collaboration.