How IBU work
Heavy Engineering - Industrial KPIs
1. Improve Quality
Organic and Data-driven Product Quality Improvements using Digital Twins and CoPilot Asstants across Heavy Engineering Production Process. The product quality can significally by with timely information with CoPilot with AI/ML inference pipelines.
2. Reduce Defect Ratios
Agile CoPilot frameworks to provide a robust data-driven pipelines to support computerized CNC production machine operations and maintenance. The final products and operational quality KPIs are key for better ROI and market reputation.
3. EHS Compliance
The Industrial Shop Floors are prone to Environment, Health & Safety (EHS) related accidents and incidents resulting in asset and human health issues and loss. The CoPilot Systems for EHS factors involves many preventive AI/ML and GenAI features.
4. Reduce Cycle-Times
Reduction of Operational and Supply-Chain related Cycle-Time reduction using CoPilot and AI/ML based processes. The data-driven management and business governance would faster and better outcomes.
5. Reduce Waste Streams
Manufacturing processes have residual waste materials, anciliary ouputs external to finished products. The real-time data and analytics of the production line based intelligence with CoPilot features for waste reduction and support recycling and circularly.
6. Predictive Maintenance
Process mapping and systemic physics based preventive maintenance AI/ML models. The real-time analytics and CoPilot functions for Preventive Maintenance inference alerts and scenario data inputs.
Leadership
VISIONTo lead and create a pioneering Industrial CoPilot System for L&T Heavy Engineering and for wider global market adoptions, with improved RELIABILITY, EFFECTIVENESS and RESPONSIVESS as a Smart Manufacturing ecosystem.
KPI:13
CoPilot KPIs :
RELIABILITY
1. AI/ML-driven optimization for manufacturing, logistics, and supply chain operations
2. ETA (Estimated Time of Arrival) optimization for logistics
3. Preventive Maintenance (MRO), Governance, Risk & Compliance (GRC), and EHS compliance through CoPilot
4. Defect and anomaly detection using AI, sensor, and OCR technologies
5. BAU/SLA multi-agent CoPilot for shop floor and logistics services
EFFICIENCY
6. CoPilot-enabled project finance management for manufacturing, safety, and logistics
7. Spend management alerts and decision support via CoPilot
8. Supplier integration for quality, delivery, and ETA monitoring
9. GenAI-based supply chain tracking and mobility optimization
RESPONSIVENESS
10. Market demand management using AI/ML-driven CoPilot
11. Skill-based shop floor CoPilot functionality
12. Logistics responsiveness with AI/ML-based ETA/TAT alerts
13. Agile transport and logistics CoPilot for materials handling, mobility, and environmental factors
Industrial CoPilotwith Real-time Digital Twin, AI & GenAI
IBU APPROACH & SOLUTION
The Industrial CoPilot project covers the required Production process models,engineering/re-engineering work-flows for the functional User Divisions to adopt Industrial CoPilot enablement process. Centralized controls and management along with distributed manufacturing and operations includes GenAI & AI/ML pipeliens supporting AgenticAI, Robotic Process Automation (RPA) and Agentic Process Automation (APA). The integrations for CoPilot pipelines would include CRM, SRM, SCM, ERP, FICO and PLM functions and process management mostly using fixed VDC/PLC screens and on-premise mobile devices.
PROJECT OUTCOMES
● Create Industrial CoPilot Process & Management Model adoption and maturation.
● Create the Data Journey for the Industrial CoPilot applications across all operations.
● Create or develop the Static & Dynamic process & work flows as approved by the Client.
● Build the Backend AI/ML platform to manage the CoPilot functions and features
● Build APIs and Services for the platform to connect with all required data sources
● AI/GenAI related Compute infrastructure
● System Architecture Designs
● Programmable Logic Controller (PLC) Panels and Front-end UI/UX designs
● Workflow Process Models for CoPilot functions
● CI/CD integration for RPA & APA Agents
● Predictive data pipelines and DataFabric functions
● Access Control & Security envelopes
● Release & Deployment models
● BAU escalation and Support Models
- Support questions
- General inquiries
- Commercial team






