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.
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.
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?”
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.
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.
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.
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.
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.
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.
Prateek is president of SymphonyAI’s industrial division and executive chairman of SymphonyAI’s enterprise IT division. With over 20 years of technology leadership and extensive experience in the enterprise, telecom, and automotive industries, Prateek brings a unique background in machine learning and AI, product strategy, operations, product technology, engineering, and sales to SymphonyAI. Prateek has extensive experience with highly engineered systems and expertise in B2B and consumer technology, deep learning, cloud virtualization, enterprise software, mobile applications, and information life cycle management. Before joining SymphonyAI, Prateek served as EVP and CTO at Cerence, where he was responsible for Cerence’s technology vision, R&D, and professional services, and rolling out Cerence technology and solutions to more than 65 automotive customers across the world and more than 450 million cars on the road. Before Cerence, Prateek served as general manager of AI and IoT products at View, responsible for leading product strategy, defining and driving product roadmap, and supporting M&A activity to accelerate growth. Before View, he served as VP of product and solution management at Polycom, chief strategy officer at HighQ, and VP of product strategy at Accusoft, which acquired Adeptol, a company Prateek founded. Prateek previously worked for several companies, including EMC, Sapient, Cognizant, and NEC. Prateek holds an MBA and a Bachelor’s of engineering degree in instrumentation and process control.
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