Scaling Enterprise AI Through Systems Thinking

Presented by DeepStation, in partnership with Miami Dade College for community outreach and engagement.

This resource is produced by DeepStation, a trusted partner in AI education. While OpenAI Academy shares it here, it does not necessarily represent OpenAI’s own views. 

This workshop will explore how Agentic AIOps architectures can be harnessed to transform business operations by applying first principles of systems thinking. We’ll walk through how talent density—focusing small, high-leverage teams—enables a Human-AI synthesis where orchestration of agents, not headcount growth, drives exponential impact. We'll demonstrate new frameworks for modeling operational complexity as dynamic feedback loops, then encode those loops into AI-driven orchestration frameworks that continuously learn and improve across business domains.

Through live coding and architectural walkthroughs, we’ll build from scratch an AIOps pipeline that integrates tactical agents, strategic meta-agents, and human oversight into a resilient “learning organization.” The objective of this webinar is to provide a hands-on exposure to designing feedback-driven automation, embedding AI into enterprise workflows, and aligning systems thinking with modern DevOps/ML engineering practice. By the end, engineers will not only understand the principles of scaling with AI in large enterprise and startups but also leave with a replicable playbook to transform their own companies into high-density, AI-native organizations.