Amneal Pharmaceuticals
With Boomi, average error-detection time plummeted from 30 minutes to less than 2. Automated diagnostics reduced RCA time by 85% and overall mean time to repair (MTTR) by 75%.
ビジネス目標
Amneal Pharmaceuticals aimed to advance IT operations toward a self-managing, artificial intelligence for IT operations (AIOps) model. The company wanted to:
- Ensure resilient, high-performance integrations that supported critical business functions
- Mirror human biological reflexes — identifying issues instantly and driving intelligent self-healing or escalation
- Optimize existing technology investments while maintaining strict compliance and governance standards.
連携における課題
Amneal’s integration ecosystem had grown so complex that it outpaced manual management. By the time the support team could manually correlate log data and open a ServiceNow ticket, business impact had often intensified. The company was challenged with:
- Managing more than 100 Boomi processes across ERP and finance systems
- Detecting errors before they impacted business users
- Relying on an offshore support team to review logs and dashboards for root cause analysis
Boomiによる解決
Amneal leveraged the Boomi Enterprise Platform and Boomi Agentstudio to develop “Amneal Reflex,” an AI Technical Support Agent, which:
- Acts as an intelligent listener, continuously monitoring process executions and streaming log data for real-time analysis.
- Uses a composite AI framework to apply machine learning and natural language processing (NLP) to interpret logs and pinpoint probable root causes.
- Covers critical integrations including Coupa, JDE, and various payroll and legal interfaces with 24×7 proactive monitoring.
成果
The transition to autonomous management delivered quantifiable improvements in several key metrics, including:
- Average error-detection time plummeted from 30 minutes to less than 2
- Automated diagnostics reduced RCA time by 85% and overall mean time to repair (MTTR) by 75%
- Lowered support overhead boosted SLA adherence from 85% to 98%
