• Energy AI playbooks that improve ROI
• Agentic workflows across upstream, midstream, and downstream
• Rapid prototyping via Infosys Topaz Fabric
• Multi-agent orchestration for engineering, operations, and decision support

• Unified enterprise data platform across upstream, midstream, and downstream
• Real-time streaming from wells, facilities, pipelines, and refinery assets
• Master data harmonization across wells, reservoirs, equipment, products, and customers
• Data governance, lineage, and quality controls for regulatory and operational assurance

• Workbench for upstream and downstream operations, enabling innovative workflows
• AI-powered production surveillance, refinery optimization, and supply chain planning
• Agentic AI-enabled trading insights and risk analytics

• AI-assisted migration of subsurface, production, refinery, and trading applications
• API-driven integration across OT, SCADA, historians, and enterprise platforms
• Business rule extraction from legacy platforms

Reservoir and facility-integrated digital twins that use physics-based subsurface and facility models, which are synchronized with live operational data for prediction and optimization

• AI-based drilling NPT reduction with closed-loop optimization of drilling parameters using real-time surface and downhole data
• Production optimization and artificial lift analytics, which include AI-driven optimization of ESPs, gas lift, choke settings, and field production
• Refinery and process digital twins that support optimization, efficiency, reliability, and maintenance

• Governance, guardrails, and auditability
• Explainable, human‑in‑the-loop AI
• Safety-critical and ESG-compliant operations
• Compliance with industry and regulatory requirements