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AI Engineering for Field Operations

We automate production reporting from hundreds of wells, run ticket reconciliation, and downtime tracking — built and operated for you.

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What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Data Entry Automation

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Your team re-types data from one system to another. We eliminate that.

production volumes well test data field tickets

Report & Dashboard Consolidation

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Production data from hundreds of wells consolidated into daily reports automatically.

daily production reports decline curves field summaries

Incoming Request Processing

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Work orders and field requests come in from everywhere. We read, classify, and route them.

work orders equipment requests incident reports

Billing, Payments & Reconciliation

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Run tickets and vendor invoices matched and reconciled in minutes, not days.

run tickets vendor invoices AFE tracking

Risk & Anomaly Detection

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Equipment failures and production anomalies caught before they become costly problems.

equipment anomalies production declines safety alerts

Compliance & Audit Readiness

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Environmental and safety reporting kept current and audit-ready at all times.

EPA reporting state filings HSE compliance
See How We Work →
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Common Questions About AI for Energy Field Operations

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your field operations — watching your team compile production reports, mapping your run ticket flows, measuring your volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI compiles production data in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts managing exceptions instead of manually compiling every report. The transition is gradual, not a big bang.
How does this work with our SCADA and field systems?
We build on top of your existing systems. We integrate with SCADA, Enertia, WolfePak, and every major production and field data platform. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about safety and environmental compliance?
Every workflow we build respects your HSE framework. For environmental reporting, the AI compiles data and flags anomalies — your operations team reviews and approves. We maintain audit trails for every automated step. The AI doesn't make safety decisions; it eliminates the manual work around compliance reporting.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: production report turnaround time, run ticket reconciliation accuracy, downtime tracking completeness, and regulatory filing speed. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like production reporting or run ticket reconciliation. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most field ops teams start with one workflow, prove the ROI, then move to a dedicated team.

Your field data is too valuable for manual compilation.

Book a free 30-minute AI Assessment. We'll map your highest-volume field workflows and show you the 3 processes with the highest ROI.

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