Is your enterprise AI struggling with data chaos? Read this compelling case study to discover how a global technology leader tackled inconsistent data handling and operational risk.
Their two-phase solution, built with Automic Automation by Broadcom, first established a governed data foundation, ensuring all AI models are fed by a secure, traceable, and repeatable pipeline. This move replaced chaotic manual scripts with a unified orchestration system.
The second phase introduced agentic workflows to automate complex business tasks, leading to dramatic results. Learn how they reduced manual troubleshooting time by approximately 70% and accelerated critical information delivery from days to minutes. The document also highlights how the team improved SLA performance by over 90%.
If you need a blueprint for building a scalable, secure, and highly efficient AI framework—and fostering confidence in your systems—this case study is essential reading.
