Cut costs, downtime, and risk across energy operations

Energy automation reduces downtime costs by using orchestrated AI agents to monitor telemetry, detect anomalies, and trigger work orders to shift from reactive to predictive maintenance. This approach cuts downtime, extends asset life, and stabilizes output without adding staff, helping energy operators avoid the high costs of unplanned outages.

Energy automation handles production reporting, well master data management, AFE approvals, lease revenue processing, joint interest billing, field ticketing, and vendor onboarding. Orchestrated agentic workflows capture production data, validate lease revenue, process JIB, and route AFE approvals to cut manual work and speed cash flow.

Energy automation streamlines midstream and trading by automating nomination scheduling, pipeline balancing, custody transfer, BOL processing, credit checks, risk reporting, and settlement posting. Agentic process automation orchestrates AI agents and bots to handle these complex workflows to improve accuracy and reduce cycle times across trading operations.

Energy automation supports HSSE and compliance by handling incident intake, permit to work processes, MOC tracking, emissions reporting, and SOP enforcement. Agentic automation orchestrates AI agents and bots to trigger incident checklists, embed approvals and segregation of duties, and capture evidence to improve response times, speed audits, and reduce exposure.

Energy automation enables predictive maintenance through orchestrated AI agents that monitor sensors for anomalies, predict failures, trigger work orders, and forecast spares. This prevents outages and extends asset life by enabling condition monitoring, failure prediction, sensor anomaly detection, and root cause analysis assistance.

Energy automation provides infrastructure planning capabilities including pipeline routing, capacity modeling, capex prioritization, environmental review, and scenario planning. Agentic automation orchestrates AI agents and bots to model routes, forecast capacity, prioritize investments, compile environmental data, and run scenarios to accelerate planning and optimize capital allocation.

Energy automation improves field-to-finance handoffs by having orchestrated agentic workflows to capture field data once, validate against SCADA and ERP, extract invoices and bills of lading, and post journals. This eliminates rekeying and speeds operations by closing loops faster with fewer touches across production, billing, and finance.

Energy automation helps with downstream and retail operations by updating prices, counting inventory, matching invoices, resolving claims disputes, and maintaining compliance logs. Agentic automation enables fast and accurate store operations to reduce errors and keep retail energy operations moving efficiently.

Automation accelerates drilling and completions by handling daily drilling reports, rig status tracking, completion design approvals, and proppant inventory management. Orchestrated AI agents consolidate drilling data, route completion plans for approval, track AFE spending against budget, and alert teams to supply chain issues—reducing NPT and speeding time to first production.

Automation streamlines land management by tracking lease expirations, processing division orders, managing title opinions, and automating royalty calculations. Agentic automation orchestrates AI agents and bots to monitor lease obligations, flag upcoming expirations, validate ownership records, and process revenue distributions to reduce missed deadlines and ensure accurate royalty payments.

Automation optimizes logistics by coordinating truck dispatching, rail car tracking, vessel scheduling, and demurrage monitoring. Agentic automation orchestrates AI agents and bots to match available capacity to volumes, track shipments in real time, calculate demurrage charges, and alert planners to delays—improving asset utilization and reducing transportation costs.

Automation handles regulatory reporting by compiling production data for state agencies, preparing environmental disclosures, tracking permit renewals, and submitting spill reports. Agentic automation orchestrates AI agents and bots to aggregate data from multiple systems, validate against regulatory formats, generate required forms, and maintain audit trails to ensure timely compliance and reduce penalties.