Build Braze workflows with AI Agents

Braze is a leader in customer engagement, powering personalized and cross-channel experiences for top brands worldwide. But as teams grow and demand real-time insights, traditional ways of accessing Braze data—via dashboards or manual analytics—can slow decision-making. That’s where the integration of Runbear’s AI agent platform with Braze shines. By embedding an intelligent agent into Slack, Teams, or Discord, you empower your team to interact with Braze data, analytics, and documentation exactly where collaboration happens. The result? Smarter, faster, and more seamless Braze workflows supercharged by AI automation.

About Braze

Braze is a cutting-edge customer engagement platform trusted by leading global brands. It excels at orchestrating personalized, real-time communications across multiple channels—email, push, SMS, in-app messages, and webhooks—empowering organizations to connect meaningfully with their users. Core features include cross-channel campaign management, dynamic journey orchestration, AI-optimized messaging (via BrazeAI™), and a robust data platform that unifies and activates first-party data. Teams in marketing, customer success, product, and analytics rely on Braze to deliver targeted experiences, drive growth, and build loyalty. Its flexibility, scalability, and AI-driven insights make it a foundational tool for enterprises looking to elevate customer engagement and business results. For more, visit braze.com.

Use Cases in Practice

Runbear’s AI agent brings Braze’s powerful engagement and analytics capabilities directly to your team’s workspace. With this integration, teams streamline everyday workflows—no more hunting for dashboards, waiting for reports, or manually sharing campaign performance updates. Here’s how the four featured use cases work in practice:

1. On-demand campaign performance insights: Imagine a team member asking, “How did last week’s push notification perform?” in Slack, and an AI agent instantly responds with Braze engagement stats. No one leaves the chat or waits for a marketing analyst—data is democratized and instantly actionable.
2. Scheduled engagement metrics: Set up Runbear’s agent to post daily or weekly Braze engagement summaries in team channels. Marketing managers, product leads, and support teams all stay updated thanks to proactive reports—similar to our approach for automated KPI reporting.
3. Natural language search: Your team can query Braze docs, campaign history, or best practices in plain English from any supported chat channel. Instead of digging into a knowledge base, the AI agent surfaces insights instantly—just as teams do when they turn Slack conversations into Google Docs.
4. AI-powered analytics and visualization: Need a quick trend chart on user engagement for the last quarter? Ask the AI, and it will generate and share visual Braze charts in Slack. This transforms decision-making by making advanced analytics available to all, similar to our real-time business analytics use case.

Integrated this way, Braze and Runbear do more than just automate tasks—they unlock a more data-driven, collaborative, and efficient way for teams to work together.

Braze vs Braze + AI Agent: Key Differences

Integrating Braze with Runbear transforms how teams access, analyze, and collaborate around customer engagement data. Instead of relying on manual dashboards or app switching, teams can ask an AI agent for Braze stats, trigger scheduled summaries, and run analyses—all from their everyday chat tool. This AI-powered approach unlocks faster decision-making, proactive collaboration, and puts data at every teammate's fingertips without retraining or context switching.

Implementation Considerations

To successfully adopt the Runbear + Braze integration, teams should consider several factors. Initial setup is straightforward—no code required—but you’ll want to ensure proper permissions for Braze data access. Training team members to engage with the AI agent in their chat tool is key for full adoption; invest in a short onboarding session. As with all AI-driven workflows, establish clear data governance and security guidelines to ensure sensitive customer information is handled appropriately. Assess the cost-benefit: although automation speeds up reporting and collaboration, ensure your team is ready to shift away from manually curated dashboards or traditional reporting. Finally, successful implementation hinges on proactive change management—set expectations, gather feedback, and iterate your team’s playbooks to take full advantage of AI agent automation.

Get Started Today

The integration of Braze with Runbear’s AI agent is a game changer for modern teams—making real-time customer engagement insights, analytics, and documentation accessible in the flow of daily work. While there are considerations around setup and training, the payoff is smarter workflows, less manual effort, and truly collaborative decision-making. Ready to empower your team’s Braze workflows with AI automation? Try Runbear today and see how intelligent agents can transform your customer engagement and teamwork from day one.