Automate Canny workflows with AI Agents

Managing product feedback is crucial for building successful products, but too often, vital user insights collected in Canny stay siloed and underused by busy teams. By bringing AI agents powered by Runbear into your Slack or Teams workspace, teams can transform how they engage with, analyze, and act on Canny feedback—automating insight delivery, boosting team collaboration, and elevating product decisions.

About Canny

Canny is a powerful customer feedback management platform designed for product teams who want to centralize user requests, prioritize features, and plan transparent roadmaps. By collecting input from multiple sources—such as in-app widgets and websites—Canny lets teams capture the voice of the customer and organize it for actionable decision-making. Key features include robust feedback collection, user voting to surface popular requests, roadmap publishing (public or private), and deep integration options with other tools. Tech SaaS companies, startups, and enterprise product teams use Canny to ensure product priorities align with real customer needs and to foster a transparent, collaborative development process. With Canny, feedback isn’t lost—it's put to work shaping products users love.

Use Cases in Practice

Let’s dive into four actionable ways your team can harness Runbear AI agents to supercharge Canny workflows. Imagine your product manager receiving a daily digest of new Canny feedback posted right in Slack. Customer success can now instantly query the AI agent—'What’s the status of the most requested feature?'—and get immediate, context-rich answers, eliminating repetitive dashboard checks. With data analysis built in, Runbear lets teams create visual reports and track feature trends straight from Canny, making regular stakeholder updates a breeze. Most powerfully, AI agents index Canny data, so team members can find relevant feedback or user insights by simply asking questions—accelerating answers and crowd-sourcing knowledge. These enhancements are similar to the time-saving wins seen in our Slack Daily Digest guide and Executive Dashboard automation, demonstrating just how transformative smart AI agent automation can be for product-driven teams.

Canny vs Canny + AI Agent: Key Differences

Integrating Canny with Runbear transforms static feedback management into dynamic, AI-powered team workflows. Instead of manually checking Canny dashboards, teams can retrieve insights, generate summaries, and analyze trends right in Slack or Teams using natural language. The shift from traditional, manual reviews to contextual automation boosts productivity and ensures all team members remain aligned—without leaving their daily communication tool.

Implementation Considerations

Teams relying solely on Canny may face challenges such as siloed feedback that’s not amplified in daily team workflows, missed insights due to manual dashboard checks, and the burden of preparing regular feedback summaries. Successful integration with Runbear AI agents requires some upfront setup—connecting Canny to the platform, syncing data, and defining scheduled jobs or trigger keywords within Slack or Teams. Teams should prepare to train users on how to interact with AI agents, adapt collaboration habits, and define permissions for knowledge access. Consider the ongoing costs versus manual workflows, data governance for sensitive feedback, and readiness to adopt chat-driven automation. With proper change management and clear workflow definitions, the adoption curve is smooth and the productivity gains are well worth the onboarding investment.

Get Started Today

Integrated Canny and Runbear AI agents make feedback management proactive and collaborative—bringing insights into your team’s daily rhythm and converting raw requests into actionable product strategy. By allowing every team member to query, summarize, and visualize Canny data directly within chat, teams become more responsive, aligned, and data-driven. Ready to unlock smarter automation and decision-making for your product team? Try the Canny-Runbear integration and experience the difference firsthand.