Building safe, multi-agent AI systems in Redpanda Agentic Data Plane
Blog post from Redpanda
Redpanda's evolution of its AI-driven customer experience platform, Redleader, began in mid-2025 with the implementation of a single prompt-driven agent across Slack channels, which successfully demonstrated AI's potential in automating triage and generating ROI. As adoption increased, a need for more structured control led to the development of a multi-agent system called the Redleader, running on Redpanda’s Agentic Data Plane (ADP), which allows multiple specialized agents to collaborate effectively. This revamped system includes agents such as Concierge, Records Custodian, Orchestrator, Sentiment Discriminator, and Activity Monitor, each with distinct responsibilities. The ADP functions as a substrate, integrating components like the Redpanda Streaming engine and Redpanda Connect to orchestrate agent communication and learning, ensuring continuous event streams that represent intent, action, and reaction. This transformation from a single agent to a coordinated ecosystem enhances the capacity to track, trust, and improve AI operations within an enterprise environment.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Multi-agent systems | 4 | 460 | 170 | 68 | -20% |
| Real-time | 4 | 6,296 | 1,346 | 246 | -2% |
| Observability | 2 | 4,496 | 812 | 176 | +40% |
| AI Agents | 1 | 4,430 | 1,100 | 236 | -3% |
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