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Use Relevance AI with AI Agents

Empower AI agents to answer team questions in Slack using live Relevance AI data and custom knowledge—no context-switching needed. Enhance your Relevance AI workflows with AI-powered automation in Slack, Teams, and Discord.

Instant Team Insights from Relevance AI
Empower AI agents to answer team questions in Slack using live Relevance AI data and custom knowledge—no context-switching needed.
Scheduled Relevance AI Reports in Chat
Receive daily or weekly Relevance AI analytics, trends, or KPI summaries directly in team channels—hands-free updates, always on time.
Automated Data Analysis, Zero Coding
Ask your AI agent to analyze or summarize Relevance AI data with natural language—get charts, sentiment, or insights in seconds.
Centralize Team Collaboration on Findings
Share, discuss, and refine Relevance AI discoveries collaboratively by tagging the AI agent in any conversation—actionable follow-ups, instantly.
Automate Your Relevance AI Workflows with AIStart your free trial and see the difference in minutes.

Relevance AI Integration Thumbnail

Unlocking the full power of Relevance AI starts when you bring its insights, analytics, and automation right into your team’s daily workflow. By integrating Relevance AI with Runbear’s conversational AI agent platform, teams can access fast, contextual insights, automate manual reporting, and drive decisions—all without ever leaving Slack, Microsoft Teams, or Discord. Let’s explore how this partnership redefines smart automation and team collaboration.

About Relevance AI

Relevance AI is a low-code platform for building, deploying, and managing custom AI agents and automation workflows. Designed for product, operations, and data teams, it allows users to create, orchestrate, and scale AI-powered apps and agents without deep development expertise. Its visual builder supports drag-and-drop workflow design, integration with leading LLMs (like OpenAI, Anthropic, and Google AI), and built-in connectors for databases, third-party tools, and APIs. Security and compliance are first-class, with SOC 2 Type II and GDPR alignment, making Relevance AI a trusted solution for teams that need secure, flexible automation. Companies turn to Relevance AI to accelerate internal processes, automate analytics, and bring greater intelligence and automation into decision-making environments.

Use Cases in Practice

Bringing Relevance AI workflows into your team's chat channels via Runbear AI agents instantly streamlines collaboration, data retrieval, and actionable reporting. For example, your marketing team can simply ask the AI agent in Slack, "Show top-performing campaigns from Relevance AI this week," and receive instant, contextual insights—no dashboard required. Or, sales teams can get daily summaries of lead analysis each morning, empowering fast pivots without tedious manual exports. Analysts can request real-time chart visualizations or sentiment breakdowns, all by chatting with the AI agent. Most importantly, team discussions become action-oriented; anytime a key insight is flagged, simply @mention the AI agent to pull deeper Relevance AI context into the thread or document discussion points for future review. These smart automations echo powerful use cases outlined in guides like Simplify Your Business Analytics and Instantly Query Excel Reports in Slack—No More Manual Data Checks, showing how bringing analytics into chat transforms team agility.

Relevance AI vs Relevance AI + AI Agent: Key Differences

Relevance AI Comparison Table

Integrating Runbear with Relevance AI transforms your team's workflow from manual, isolated processes to real-time, collaborative AI agent automation inside your favorite chat tools. While Relevance AI is powerful on its own, using it with Runbear brings data-driven decision making, reporting, and intelligent search directly into team conversations. This eliminates tab-switching, speeds up knowledge sharing, and maximizes your team's productivity.

Implementation Considerations

Integrating Relevance AI into chat-based workflows adds transformative value, but teams should prepare for both technical and organizational adjustments. Initial setup requires connecting Relevance AI accounts with Runbear's AI agent, mapping necessary permissions, and confirming chat channel access. Team members may need orientation on how to interact with the AI agent using natural commands and best practices for sharing, discussing, and requesting data. Change management is crucial; onboarding sessions or documentation ensure everyone is comfortable shifting workflows out of email and dashboards and into chat-powered automations. Teams must review their data governance and security policies, especially when automating access to sensitive analytics. Lastly, factor in potential costs from both platforms, evaluating time saved against subscription and training investments to build a rock-solid automation foundation.

Get Started Today

Integrating Runbear with Relevance AI is the next evolution in team productivity—turning raw analytics and automation into living, breathing assets inside your chat workspace. With AI agents handling reporting, data analysis, and knowledge sharing, your team stays agile, informed, and focused on what matters most. Ready to transform team workflows? Start your Runbear + Relevance AI integration today and unleash the power of real-time, intelligent team collaboration in Slack, Teams, or Discord.

For even more inspiration, see how teams are deploying analytics-driven automations in our business analytics automation guide.