Key takeaways
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AI-powered executive insights drive faster action
The app delivers real-time executive summaries with auto-generated, customizable work orders—turning issues into instant actions. -
Deep operational visibility with intelligent root cause analysis
Interactive KPI dashboards and AI-guided diagnostics help identify inefficiencies, optimize margins, and prioritize problem areas. -
Integrated workflows streamline maintenance and workforce scheduling
AI not only detects maintenance needs but also recommends actions and assigns available operators, reducing downtime. -
Financial, operational, and ESG metrics in one platform
By combining performance, profitability, and sustainability data, the app empowers holistic decision-making. -
Built on IRIS Foundry for speed and scale
The application demonstrates how IRIS Foundry accelerates development of scalable, AI-driven solutions for industrial transformation.
Transforming refining operations with real-time, AI-driven intelligence
In today’s energy and refining sectors, the ability to unify data, generate insights quickly, and take action in real time has become mission-critical. At SymphonyAI, we’ve developed a next-generation application built on IRIS Foundry that brings together enterprise data from ERP, historian, and SAP systems—empowering users to make smarter decisions faster.
This powerful application showcases how AI-driven tools can turn raw operational data into actionable intelligence across five refinery sites. From executive summaries to predictive analytics and work order generation, the app delivers a comprehensive view of performance, safety, and profitability.
AI-driven executive summaries
The first view in the application is an executive summary that highlights key action items alongside real-time performance dashboards. With just a few clicks, users can identify critical issues such as abnormal pressures in distillation units and instantly generate AI-populated work orders. These work orders can be customized and regenerated dynamically, ensuring maintenance tasks are both accurate and context-aware.
Live KPI monitoring and root cause analysis
Interactive dashboards offer deep dives into KPIs like throughput trends, product mix, yield factors, unplanned downtime, and utilization. AI-generated bottleneck analysis and margin optimization help pinpoint operational inefficiencies. For instance, while one refinery may show strong performance, another might lag in efficiency or exhibit a worrying unplanned downtime to mean-time-to-repair ratio. The built-in AI copilot can answer queries like, “Which refinery needs optimization?” or “Where is safety training most needed?”
Seamless work order creation and operator scheduling
AI doesn’t just identify issues—it helps resolve them. When maintenance is required, AI-assisted work order generation provides detailed recommendations and root cause analysis. The system even suggests available operators based on real-time schedules, streamlining issue resolution and reducing downtime.
Integrated financial and operational intelligence
Refinery operations are driven by performance, but profitability is just as critical. The app integrates key financial metrics—gross margin, net profit, crack spreads, cost structure—alongside operational performance. Users can explore cost breakdowns, ROI trends, and financial ratios, enabling better-informed decisions across the board.
Workforce visibility and safety
People are central to every operation. The application offers workforce insights across refineries, tracking headcount, contractor ratios, training compliance, shift utilization, and safety metrics such as TRIR and LTIs. When safety performance slips, AI identifies trends and suggests where additional training is needed.
ESG and compliance metrics
Environmental impact and compliance are non-negotiable in today’s industrial landscape. The application tracks CO₂ emissions, water usage, flaring, methane leaks, and ESG scores, highlighting areas for improvement. For example, the system flags sites with suboptimal environmental performance or compliance gaps—critical inputs for both operations and sustainability teams.
Market trends and “what-if” scenarios
Real-time integration of market data allows teams to align operations with external conditions. Whether it’s analyzing optimal timing for crude purchases or forecasting profitability at different oil price points, users can simulate market conditions and understand crack spreads at various thresholds.
Accelerating industrial AI with IRIS Foundry
This application was developed rapidly using SymphonyAI’s IRIS Foundry, unifying siloed data and leveraging AI to provide insights, recommendations, and actions across operations. It’s a testament to how SymphonyAI is enabling enterprises to move from data to decision at unprecedented speed.
By bringing together operations, finance, people, ESG, and market data into one interactive interface, we are reshaping how industrial enterprises gain visibility and act with precision.
