Build Rize workflows with AI Agents

Rize is redefining time tracking and productivity analytics with AI, helping professionals optimize their work habits effortlessly. But when you combine Rize’s power with Runbear’s AI agent for Slack, Microsoft Teams, or Discord, you don’t just measure productivity—you empower your entire team to act on it together. This integration puts Rize’s intelligent insights and coaching right where teams collaborate, enabling smarter workflows, proactive habits, and real-time improvements—all inside team chat.

About Rize

Rize is an AI-powered productivity and time tracking application for macOS and Windows that helps professionals and teams optimize the way they work. Using automated tracking, Rize measures how users spend time across apps and websites, delivering real-time analytics and personalized coaching to enhance focus and reduce distractions. Its standout features include smart time categorization, seamless calendar integration, and AI-driven tips for better work-life balance. Rize’s intuitive platform is popular with freelancers, knowledge workers, and growing teams looking to streamline time management, increase productivity, and encourage healthy work habits without the hassle of manual timers or complex reports. The blend of automation and actionable insights has made Rize a leading choice for productivity-focused teams.

Use Cases in Practice

Integrating Rize with Runbear unlocks a completely new way for teams to leverage productivity data. Instead of relying on individual dashboards, your team gains an AI agent that actively delivers Rize insights, offers personalized coaching, and answers work pattern questions directly where collaboration happens—Slack, Teams, or Discord. Let’s look at four impactful ways Runbear supercharges your team’s Rize workflows:

1. Automated focus reports make it easy to keep everyone aligned on key productivity trends without interrupting the flow of work. For example, the AI agent posts a daily summary at 9am with the previous day's deep work scores, top meetings, and suggestions for improvement, creating a shared baseline for discussion.
2. Need to know which day last week had the most distractions? Just ask the AI agent in your team channel. It scans Rize data and gives you a clear answer—no more digging into separate dashboards or waiting for a manager’s report. This capability mirrors our philosophy in Instantly Query Excel Reports in Slack—No More Manual Data Checks, now applied to time analytics.
3. Instead of generic reminders, the AI agent posts scheduled, actionable coaching tips drawn from actual Rize trends—like encouraging the team to take breaks after a focus-heavy sprint or suggesting ways to minimize context switching. It’s a practical way to foster healthier habits at scale, similar to our AI-Powered Executive Dashboard use case but tailored to work time analytics.
4. Team leaders can use the AI agent to foster discussion by posting key Rize insights and asking the group for feedback in Slack. This creates interactive, data-driven retrospectives and brainstorming, rather than one-way exports or static emails.

With these workflows, Rize’s strengths are amplified, and teams can identify, discuss, and act upon productivity patterns—faster and more collaboratively than ever before.

Rize vs Rize + AI Agent: Key Differences

Integrating Rize with Runbear transforms static productivity tracking into interactive, AI-powered collaboration for teams. With Rize alone, data is siloed in dashboards and only accessible to individual users. Add Runbear’s AI agent, and teams experience seamless workflow automation, instant analytics, and integrated coaching—all within Slack or Teams. This shift turns time tracking from a manual routine into a dynamic, team-driven process.

Implementation Considerations

Embracing the Rize and Runbear integration means considering several key factors. Teams must first ensure proper setup—connecting Rize accounts with Runbear’s agent and configuring permissions. Stakeholders should provide basic training on how to interact with the AI agent in Slack or Teams and understand its command structure. Change management is important: teams may need to adapt routines to trust automated reports versus manually checking dashboards. Cost-benefit analysis is crucial for larger teams, especially when upgrading to paid tiers for either platform. Security and privacy policies must be established so productivity data sharing aligns with internal guidelines, while ensuring data governance rules are followed. Lastly, be ready for an initial adjustment period as your team shifts from individual habits to AI-powered team workflows, and plan to gather ongoing feedback to refine how insights and coaching are shared.

Get Started Today

The future of team productivity lies in harnessing actionable insights where real work happens: inside your communication channels. By merging Rize’s time tracking and smart coaching with the collaborative power of Runbear’s AI agent, teams can boost alignment, eliminate repetitive manual workflows, and foster a culture of continuous improvement. If you’re looking to upgrade your approach to productivity and team engagement, it’s time to explore the Runbear + Rize integration and take your team’s performance to the next level.