AI Agent Integration for Felt

Geospatial insights are game-changing for modern teams—but accessing, analyzing, and discussing spatial data can slow you down. Felt’s powerful cloud-native GIS platform allows organizations to create, analyze, and share interactive maps and data dashboards. By connecting Felt with Runbear’s AI agent platform, teams unlock a smarter way to collaborate: your AI agent brings Felt’s spatial intelligence into Slack or Teams, answering questions, delivering on-demand reports, and making geospatial data accessible in everyday conversations. Explore how combining Felt and Runbear elevates your team's mapping workflows to new heights.

About Felt

Felt is a modern, cloud-native Geographic Information System (GIS) platform designed for teams and organizations to create, analyze, and share interactive maps and spatial dashboards with ease. Supporting a wide range of industries—from urban planning to logistics—Felt excels at empowering users to visualize, collaborate on, and act upon geospatial data. Its intuitive data integration, interactive mapping tools, spatial analysis features, and real-time collaboration capabilities make Felt an essential tool for anyone who needs to unlock the power of spatial data. Flexible dashboards, manageable sharing options, and developer extensibility ensure it fits diverse business needs, whether you’re coordinating city planning or analyzing supply chains. Teams adopt Felt to simplify map creation, accelerate analysis, and drive impactful data-driven decisions—without the complexity of legacy GIS platforms.

Use Cases in Practice

Integrating Felt with Runbear unleashes a transformative way for teams to interact with maps and spatial data. Let’s drill into how each use case works in reality:

1. Instant Map Q&A in Slack Channels: No more switching tabs or searching for project boundaries. Teams simply type natural questions like “What’s the population within our expansion site boundary?” or “Show recent infrastructure projects in District 2” into Slack. The AI agent retrieves relevant data and answers, often including labeled maps or stats, directly in chat. This is similar to how teams streamline their spreadsheet analysis with the Instantly Query Excel Reports in Slack use case.
2. Automated Spatial Insights & Summaries: Set up scheduled jobs so your AI agent posts daily or weekly Felt map updates and analysis—like, “Post a weekly summary of new developments mapped” or “Every Friday, share a chart of heatmap changes.” These summaries include highlights, trends, and visuals, ensuring everyone stays informed without manual reporting. For broader analytics, see how teams automate KPIs with How to Automate KPI Reporting.
3. Collaborative Map Feedback Collection: Teams working on planning, logistics, or real estate can discuss Felt maps in chat, tagging the AI agent to collect feedback. The agent gathers suggestions, resolves duplicate comments, and creates an actionable summary—making project reviews smoother and ensuring no input is overlooked.
4. Effortless Reporting & Dashboard Sharing: Instead of exporting reports, team members prompt the AI agent to generate digestible summaries or to post Felt dashboards directly into channels. This keeps stakeholders updated and enables rapid, data-driven decisions. This mirrors the workflow seen in our AI-Powered Executive Dashboard scenario.

With these use cases, teams break out of information silos, reduce manual drudgery, and make geospatial collaboration as simple as sending a message.

Felt vs Felt + AI Agent: Key Differences

Integrating Felt with Runbear transforms your team’s mapping workflows. Instead of manually searching through complex maps or waiting for reports, teams leverage AI agents inside chat to instantly analyze, summarize, and share geospatial data. Collaboration shifts from isolated map editing to dynamic group discovery. Automation removes repetitive effort, while actionable insights become a click—or message—away.

Implementation Considerations

To successfully merge Felt with Runbear-powered AI agents, teams should prepare for several practical considerations:

• Technical Setup: Ensure secure connection between Felt and your team’s Slack, Teams, or Discord channels. Confirm data permissions and map access levels are set appropriately.
• Team Training: Users may need introductory sessions on asking clear spatial questions, interpreting AI-provided answers, and leveraging scheduled summaries. Plan for light onboarding.
• Change Management: Integrating AI agent workflows shifts typical map usage from within Felt's UI to conversational interfaces—encourage early adoption with clear benefits.
• Data Governance & Security: Set appropriate sharing settings in Felt, and align Runbear agent permissions to avoid accidental data exposure.
• Cost-Benefit Evaluation: Weigh AI agent subscription against time saved from manual map analysis, reporting, and feedback loops.
• Organizational Readiness: Identify workflow bottlenecks the integration will solve—such as time lost to status meetings or delays in map feedback—and ensure leadership buy-in for a successful roll-out.

Get Started Today

Combining Felt’s powerful GIS capabilities with Runbear’s smart AI agents brings geospatial insights directly into your team's daily conversations. You’ll accelerate feedback, reduce reporting friction, and empower every team member to access spatial data on demand. As organizations continue to adopt AI integration in business tools, now is the time to explore this transformative workflow. Ready to simplify your map collaboration and make your team's decisions smarter? Connect Felt with Runbear and experience seamless, AI-powered spatial intelligence today.