Gleap AI Agent Integration for Teams

Gleap has transformed how businesses capture customer feedback and bug reports, powering faster product iteration and better user experiences. But what if your team could access all of Gleap’s insights, automate reporting, and collaborate on issues—right inside Slack or Teams? By integrating Gleap with Runbear’s AI agent platform, you bring intelligent, natural-language automation directly into your team channels, making product and support workflows smarter, faster, and more collaborative. Here’s how connecting Runbear and Gleap supercharges your entire feedback loop.

About Gleap

Gleap is an AI-driven customer feedback and bug reporting platform that lets users report issues directly inside web and mobile apps. Its core features include visual feedback tools (screenshot annotation and session replays), detailed error logs, and an AI-powered help agent that streamlines support. Product and engineering teams use Gleap to surface actionable customer feedback, prioritize bug fixes, and engage users via public roadmaps and marketing automation. Gleap stands out for its comprehensive in-app feedback capabilities and strong AI-driven support, making it a popular choice for software teams committed to rapid iteration and high customer satisfaction. Companies adopt Gleap to close the loop between users and developers, reducing friction in bug reporting and feature requests while leveraging automation for efficient resolution.

Use Cases in Practice

The integration of Runbear’s AI agents with Gleap turns team communication channels into interactive product feedback hubs. Teams no longer have to search through Gleap dashboards or ping product leads for updates; instead, AI agents provide instant access to bug reports and customer feedback by simply asking for what they need in Slack, Discord, or Teams. For example, a team member can request ‘all crash reports from iOS this week’ and receive a clear list instantly. Scheduled digests eliminate the risk of missing critical issues by delivering regular summaries right into your daily workflow, ensuring everyone stays aligned. AI-powered search and Q&A transforms your team chat into a knowledge powerhouse, with agents pulling context-rich answers from synced Gleap documentation and past feedback. Visual analytics, such as pie charts showing issue categories or trend lines on report volumes, are created within seconds—no browsing, no exporting, just actionable data delivered where your team already collaborates. Taken together, these use cases mirror what we’ve seen in automated KPI reporting and business analytics in Slack, but tailored to the unique depth and actionability of Gleap’s customer insight engine.

Gleap vs Gleap + AI Agent: Key Differences

Gleap is a robust customer feedback platform, but most team interactions with Gleap data are still manual—requiring logging into dashboards, exporting data, or relying on individual product leads to communicate findings. By integrating Gleap with Runbear AI agents, teams unlock real-time, conversational automation and collaborative features in Slack and Teams. Here's how workflows are transformed from manual lookups to AI-powered, seamless teamwork.

Implementation Considerations

Teams adopting Gleap often face challenges around information silos and workflow interruptions—requiring regular sign-ins to dashboards, manual data transfers, and time spent compiling reports for wider sharing. Integrating AI agents with Gleap through Runbear addresses many of these pain points, but successful implementation requires careful setup: administrators must map access permissions correctly so the AI agent can fetch sensitive Gleap data, prepare team members with brief training on how to interact with AI agents in Slack or Teams, and plan for knowledge base synchronization to ensure accurate and up-to-date responses. Teams should also evaluate the ROI of automation, considering both the upfront integration effort and the ongoing value of reducing manual work. Effective change management is key—clear internal communication about new workflows, ongoing support for team members, and periodic reviews of data security policies will ensure adoption is smooth and secure.

Get Started Today

Gleap’s powerful feedback and reporting tools become exponentially more valuable when combined with Runbear’s AI agents. Teams that bring this integration into their daily workflows will experience more seamless access to insights, faster collaboration, and smarter automation—right where work happens. With AI agents unlocking true conversational analytics and real-time summaries, your team can focus on action, not administration. Get started today to see how Runbear + Gleap can transform your product development and customer support with the combined power of intelligent automation and in-chat collaboration.