Case Study
How a global semiconductor manufacturer cut MTTR by 90% and freed 30–40% of engineering time with agentic AI in manufacturing
An agentic AI-powered manufacturing operations command center reduced mean time to resolve (MTTR) by 90%, returned 30–40% of engineering capacity, and delivered 10:1–30:1 ROI within 12–18 months—setting a new benchmark for AI-powered manufacturing operations at enterprise scale.
A global semiconductor manufacturer operating a network of high-precision fabrication facilities. Its operations span the complete wafer-to-finished-product lifecycle, including deposition, photolithography, etching, CMP, metrology, and final test. With hundreds of floor engineers supporting 24/7 production across multiple sites, the enterprise operates in one of the most capital-intensive and downtime-sensitive industries in the world, where every minute of unplanned equipment stoppage translates directly into significant revenue loss and missed delivery commitments.
Across the shop floor, three of ten manufacturing steps accounted for 58% of all downtime—translating into $7.2M of a total $12.5M in lost annual revenue. Photolithography alone accounted for $3.1M in yearly losses, followed by deposition/sputtering at $2.2M and etching at $1.9M. Behind every tool stoppage was the same story: a manual, undocumented triage process repeated from scratch every single time. Floor engineers were consumed by ticket-chasing rather than process improvement. Average response times ranged from 15 to 40 minutes, and MTTR stretched to 4 to 6 hours per incident—a clear signal that traditional industrial automation solutions were no longer sufficient.
The enterprise needed to:
Hexaware partnered with the client to design and deploy an AI realtime Command Center that upgrades the shop floor and IT operations in a single, unified investment—accelerating the client’s broader digital manufacturing transformation. The solution pairs on-site AI agents for manufacturing running directly on equipment with an enterprise multi-agent AI platform that orchestrates end-to-end resolution across MES, ERP, SCADA/Historian, and ITSM systems via SECS/GEM, OPC UA, REST, and MQTT integrations.
On the floor, edge AI agents powered by small language models resolve urgent, time-critical issues in under 0.2 seconds—no cloud round-trip, no waiting. On the platform, every agent (Intake, Triage, Orchestrator, Knowledge, Resolution, Feedback) executes in under 0.05 seconds. No agent waits more than 1 second—by design. The result is a new class of shop floor automation that behaves less like static tooling and more like a self-optimizing operating system for the fab.
To make adoption stick, Hexaware introduced a Business Value Framework built around a weighted scoring model (35% business value, 25% technical feasibility, 20% implementation risk, 20% time to value). Site leaders, IT, and floor operations co-scored every use case together, mapping 100 candidates into Quick Wins, Strategic Bets, Fill-Ins, and Deprioritize tiers—turning AI in industrial automation into organizational momentum rather than a spreadsheet exercise. The architecture keeps working offline, costs don’t grow with usage, and every site runs the same design without re-tuning.
Together, these outcomes represent a step-change in operational efficiency in manufacturing—proof that agentic systems can deliver hard, auditable value at fab-scale.
By replacing manual, undocumented triage with an always-on agentic realtime AI Command Center, the enterprise transformed how its factories run and how its IT operations respond. Engineers now spend their time on innovation and process improvement instead of ticket-chasing, while equipment stays online longer and issues are resolved in minutes rather than hours. With a standardized architecture that scales across every site—online or offline—the organization is positioned to compound its gains as new use cases move from the roadmap to the floor, turning its investment in agentic AI in manufacturing into sustained operational advantage.
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