Case Study: a global F500 consumer goods company achieves 70% faster issue resolution with Sigmoid's Agentic AIOps

Global F500 Consumer Goods Company cuts issue resolution time by 70% with Sigmoid

A global F500 consumer goods company faced challenges with its fragmented and manual data operations support model. Their large-scale ecosystem, hosting over 160 data products, was difficult to scale and standardize due to manual workflows and regionally distributed teams. They partnered with Sigmoid to modernize their support operations.

Sigmoid implemented an AIOps-led managed services solution built around a ‘desired state maintained’ paradigm. Using a multi-agent LangGraph architecture with over 12 AI agents, the solution autonomously detected, diagnosed, and resolved issues across the data infrastructure. This approach resulted in a 70% faster issue resolution, a 40% reduction in manual effort, and 30% savings in support costs for the client.