From PE to AI: Got Game Transformed Teamwork with Runbear in Slack

Got Game provides high-quality physical education programs in Australia with a focus on experienced educators, curriculum alignment, and measurable student outcomes. As task and workflow automations began penetrating into every industry, Got Game wanted to integrate AI into its workplace before mainstream adoption. Hence, the company sought an effortless, scalable solution to streamline operations and stay up to date with the latest tools.

Challenge

As the company’s roles and responsibilities expanded and automations became common for handling repetitive tasks, Got Game recognized the importance of staying ahead of the curve.

We wanted to introduce AI into our Slack workspace without the complex integration process offered by other providers, such as Zapier.

Solution

To address their needs, Got Game seamlessly integrated customized AI agents in Slack to assist with their internal operations. From recruiting new staff to meeting with team leaders, the company uses Runbear’s agents as their first point of contact for all staffing needs. Some of their actively used agents:

• Conduct meetings with the executive members to monitor their progress, saving 15+ days
• Onboard recruits through induction meetings aligned with company values, saving 68+ hours
• Provide insight to staff members regarding company expectations and educator policies, saving 34+ hours

Key Features Leveraged

• Slack Integration: Custom GPT-powered agents were seamlessly integrated into core Slack channels, allowing staff members to instantly access information without leaving their existing workflow — eliminating delays and platform-switching.
• Image Interpretation: AI agents can interpret uploaded documents, enabling educators to get answers without manually scanning lengthy files — freeing time for higher-value work.
• Synced Files: Documents uploaded on Slack are automatically kept up to date by Runbear, ensuring teams always retrieve the latest information without manual updates.
• URL Fetch: Agents can read external websites, empowering educators to summarize articles, extract insights, or generate reports based on real-world examples.
• Analytics: Runbear’s built-in analytics tool continuously gathers user feedback to refine agent performance. This feedback loop ensures ongoing improvements to provide more accurate responses over time.

Choosing Runbear

In the dynamic world of education, Got Game recognized the growing potential of AI to streamline internal communication, training, and support. With staff regularly seeking fast and accurate guidance on policies, procedures, and culture, the team needed a solution that could effortlessly deliver reliable support without disrupting existing workflows.

Runbear’s simplicity and customer support is second to none. We explored all sorts of application providers, but Runbear stood out with its innovation and support.

Conclusion

Encouraged by the success of their initial implementation, Got Game continues to expand its use of Runbear’s GPT agents across departments. What began as simple integrations has steadily evolved over the year, with new features delivering exceptional value and measurable time saved.

With Runbear’s platform evolving rapidly, the company is enthusiastic about maximizing current and future features deployed by Runbear. By embedding AI agents directly into their workspace, Got Game is not just saving time — they’re redefining how physical education teams operate, collaborate, and scale with AI.