[VisionCast On-Demand] Unveling ChapsAgents: Agentic AI You Can Actually Trust Watch Now

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Agentic AI for Energy, Utilities, and Oil & Gas Companies

Fuel Operational Excellence

Enable faster, safer, more reliable energy operations by unifying a knowledge fabric and empowering your employees and AI agents with the critical context they need.

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An Operational Knowledge Fabric

Eliminate data silos by connecting SCADA, EAM/CMMS, ERP, and HSE systems into a single, unified intelligence layer. By indexing millions of documents, from technical manuals to real-time sensor data, Sinequa provides a single knowledge fabric for your entire operation ensuring that the right technical data reaches the right person at the right time.

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Context Engineering for Your Agentic Operations

Move beyond simple chatbots to a coordinated fleet of AI agents. ChapsAgents uses advanced Retrieval-Augmented Generation to ground AI in your proprietary multimodal data. This “context engineering” ensures that your agents understand sector-specific terminology and standards, allowing them to execute complex workflows based on real-time technical standards and verified site configurations without hallucinations.

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AI Security and Governance for Heavily Regulated Businesses

Operate with military-grade”confidence. In an industry where compliance is non-negotiable, Sinequa and ChapsAgents provide comprehensive guardrails, audit trails, and full traceability. Every action taken by an AI agent and every answer generated is mapped back to its original source, ensuring your AI strategy meets strict regulatory requirements while remaining entirely explainable.

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Higher customer satisfaction through faster issue resolution

Unlock Operational Excellence with Agentic AI

Energy organizations are grappling with vast amounts of critical information locked in legacy systems, aging workforces taking decades of expertise into retirement, and the increasing pressure to automate safely in high-stakes environments. Disconnected systems lead to delayed incident responses, increased downtime, and high compliance risks. Without a unified context layer, AI initiatives fail to scale, and operational risks rise

Boost asset reliability by giving maintenance teams instant access to maintenance histories, field reports, and best practices. Reduce cross-site practice gaps and ensure every technician performs like your best expert.

Connect disparate systems to slash incident resolution time by up to 50%. Rapidly surface root cause analyses and historical field reports to restore service continuity and improve asset reliability.

Capture and structure the specialized knowledge of senior engineers before they retire. Use AI to digitize tribal knowledge, accelerating the onboarding of new hires and ensuring operational sovereignty.

Leverage ChapsAgents to orchestrate complex procurement workflows. From monitoring supplier performance to enforcing quality standards and supporting make/buy decisions, AI agents transform supply chain bottlenecks into competitive advantages.

Simplify audit readiness with automated tracking of procedures, versions, and validations. Our platform monitors regulatory shifts and ensures your operational workflows remain compliant, reducing the risk of fines and legal exposure.

With comprehensive observability and industrial-strength governance, you can scale from a single pilot to thousands of specialized agents knowing that your data is protected and every AI output is verified.

Proven Benefits with  Sinequa and ChapsAgents

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Enhance safety and risk mitigation

Ensure every technician has instant access to the exact safety context required to eliminate errors and maintain rigorous regulatory compliance.

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Improve operational resilience and productivity

Boost output and cut incident resolution times by 50% by unifying data silos and automating complex workflows with context-aware AI agents.

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Reduce the cost of energy operations

Minimize asset downtime, accelerate expert onboarding, and deliver double-digit reductions in production costs through intelligent, agent-led supply chain and maintenance automation.

To better capitalize on the feedback following production incidents in our refineries, we implemented JAFAR (Jenerative AI for Availability REX), a new search app designed to streamline information retrieval in TotalEnergies' knowledge databases. Powered by Sinequa's search engine/RAG and generative AI, JAFAR enhances decision-making by analyzing documents and providing recommendations.

Aude Giraudel, Head of Smart Search Engines, TotalEnergies