We Don’t Need Another AI Tool. We Need a Control Plane for AI Workflows

📰 Medium · Startup

Learn how to create a control plane for AI workflows to efficiently operate AI systems in production, beyond just using individual AI tools

intermediate Published 11 Apr 2026

Action Steps

Identify the AI tools and workflows used in your organization
Design a declarative control plane for AI systems using tools like GenAIops
Implement a control plane to manage and orchestrate AI workflows
Monitor and optimize AI workflows for better performance and efficiency
Integrate the control plane with existing DevOps pipelines and tools

Who Needs to Know This

Data scientists, AI engineers, and DevOps teams can benefit from a control plane for AI workflows to streamline their processes and improve productivity

Key Insight

💡 A control plane for AI workflows is essential to efficiently operate AI systems in production, beyond just using individual AI tools