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Build Looker workflows with AI Agents

Let your team ask natural language questions in Slack and instantly get Looker insights, charts, or metrics without leaving chat. Enhance your Looker workflows with AI-powered automation in Slack, Teams, and Discord.

Chat-Based Looker Data Queries
Let your team ask natural language questions in Slack and instantly get Looker insights, charts, or metrics without leaving chat.
Scheduled Looker Report Delivery
Automate daily, weekly, or monthly Looker dashboard summaries in team channels, keeping everyone aligned—no manual exports needed.
AI-Driven Ad Hoc Analysis
Team members can request on-the-fly data analysis from Looker via AI agent, receiving plain-language summaries and visualizations in chat.
Knowledge Sync with Looker Docs
AI agents can answer team questions by searching synced Looker guides, metrics definitions, and internal BI documentation from chat.
Automate Your Looker Workflows with AIStart your free trial and see the difference in minutes.

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Looker has redefined business intelligence by enabling organizations to turn raw data into actionable insights. But even with Looker's robust analytics, teams often struggle to bring data directly into their daily workflows. Integrating Looker with Runbear’s AI agent platform changes the game: your team can now access Looker data, automate reporting, and drive collaboration right inside Slack, Microsoft Teams, or Discord. Let’s explore how pairing Looker with smart AI agents can make your team’s analytics experience more seamless, efficient, and impactful.

About Looker

Looker is a leading cloud-based business intelligence (BI) platform now part of Google Cloud. It enables organizations to model, visualize, and analyze complex data sets with ease. Using LookML, data teams build reusable data models that empower business users to explore analytics through dashboards and ad hoc queries—without needing deep SQL knowledge. Looker’s key features include seamless data integration, embedded analytics, custom reporting, and robust collaboration tools, making it a popular choice for companies seeking self-service analytics. Teams across sales, marketing, finance, and operations rely on Looker to democratize data insights and support fast, informed decision making. Organizations adopt Looker to centralize analytics, minimize data silos, and turn insights into action with confidence.

Use Cases in Practice

Bringing Looker and Runbear together unlocks entirely new ways for teams to interact with data and streamline decision-making. Imagine jumping into your Slack channel and simply asking, “What are this week’s top-selling products?” or scheduling a Monday morning report with no manual setup—just a natural language instruction to your AI agent. Whether your team needs real-time answers, recurring performance updates, or quick clarification on BI terms, the integration ensures everyone can access Looker’s power where they work. For example, a sales manager can request an AI-driven analysis of pipeline trends before a team call, or a marketer can get visualizations on campaign performance without ever leaving chat. You can even let the AI agent search synced BI documentation to instantly explain unfamiliar metrics, saving time and reducing interruptions. These automated, conversational workflows turn Looker into a true collaborative partner for your team—a step beyond simple dashboard sharing. If you’ve benefited from instant spreadsheet querying or business analytics automation, you’ll appreciate the similar power of Runbear + Looker for advanced BI.

Looker vs Looker + AI Agent: Key Differences

Looker Comparison Table

Using Looker alone, teams spend time navigating dashboards, exporting data, replying to repetitive queries, and sharing updates manually. Integrating Looker with a Runbear AI agent transforms these processes—empowering teams to access analytics and insights conversationally, eliminate manual busywork, and deliver smart automation inside team collaboration tools. See how your Looker workflows evolve:

Implementation Considerations

Adopting Looker with Runbear integration unlocks major gains but requires thoughtful planning. Teams should ensure proper Looker and Runbear access permissions, particularly for sensitive data. Initial setup means connecting Looker to your team’s workspace (Slack, Teams, or Discord) and confirming data accessibility for the AI agent. Training team members to trust and leverage the AI agent for queries—rather than defaulting to manual dashboard browsing—can take some adjustment. Budgeting for integration costs and ongoing subscription fees is key, as well as monitoring analytics usage to optimize workflow ROI. Security and compliance must be considered: admins should establish guidelines for what data can be exposed in team chat, and set up appropriate governance for both Looker and AI agent interactions. Lastly, ensure organizational readiness by piloting workflows with a select team, collecting feedback, and iterating to build adoption.

Get Started Today

Combining Runbear AI agents with Looker unlocks a new level of speed, clarity, and collaboration for data-driven teams. By putting advanced analytics and reporting directly within your team’s communication channels, you transform static dashboards into living conversations—making insights accessible to everyone, anytime. Ready to empower your team with smarter Looker workflows? Try integrating Looker with Runbear and bring the next generation of BI-powered teamwork to your workplace today. Your data, your decisions, your team's pace—supercharged with AI automation.