Agentic AIOps enables 70% faster issue resolution in data operations

A global F500 consumer goods company partnered with Sigmoid to modernize its support operations for creating a predictive, scalable and cost-effective system.

Business Scenario

The client is a global consumer goods manufacturer with a large-scale data ecosystem that hosts data products across Sales, Marketing, and Supply Chain functions. Over time, its traditional operational model became increasingly fragmented, driven by manual workflows, ticket-based triage, and regionally distributed support teams. With over 160 data products in play and more than 45 services supporting global and regional teams, the operations landscape became difficult to scale and standardize.

Sigmoid Solution

Sigmoid implemented an AIOps-led managed services solution designed to bring intelligence, automation, and scalability into data operations. The Agentic AI solution was built around a ‘desired state maintained’ paradigm, where AI agents continuously monitored and optimized the system health to keep the data environment in its most efficient operational state. Over 12+ agents were deployed using a multi-agent LangGraph architecture to autonomously detect, diagnose, and resolve issues across the data infrastructure. These agents collaborated to automate root cause analysis, recommend and implement remediations, and manage exceptions with built-in mechanisms for human-in-the-loop oversight on critical actions.