How is WorkSync AI different from generic AI?

WorkSync deploys specialized agents orchestrating purpose-built ML models trained specifically on upstream field operations data — not general-purpose LLMs. Twelve agents across five stations (Extraction, Warehouse, Refinement, Hierarchy, and Decision/Execution) ensure data reliability before AI acts on it. Each model is designed for a specific operational task: anomaly detection, failure prediction, economic scoring, or route optimization, using domain-specific features like decline curves, lift-type signatures, and well-specific operating envelopes.

What is per-well anomaly detection?

Per-well anomaly detection means WorkSync builds an individual ML model for each well that learns that specific well's normal behavior patterns across pressures, flow rates, temperatures, and runtime. The model detects deviations from that well's unique baseline before they become failures — far more accurate than generic fleet-wide thresholds.

Deployed and Proven

AI Agents + ML Models. One Intelligence Layer.

Twelve specialized agents and six purpose-built ML systems that turn raw operational data into prioritized daily work plans. Not generic AI bolted on. An orchestrated pipeline built for the field.

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The Agent Pipeline

Five stations. Twelve agents. Running continuously from midnight to 6 AM. Each agent handles one step of the data-to-decision pipeline so your foreman opens a finished plan, not a wall of alarms.

Data→

Context→

Decisions→

Action

Data Wellhead

Extraction Agents

Connect directly to your data lakehouse and pull every table your operation touches. Production. SCADA. Tanks. Work orders. Completions. 188 tables for one client. They do not miss.

Native integration with Microsoft Fabric, Databricks, Snowflake, and AWSDirect connections to AVEVA, Emerson, Honeywell, and Siemens SCADA systemsEvery source tracked with full data lineage

Tank Farm

Warehouse Agents

Catch everything the Extractors throw and structure it into reliable storage. Every row tagged, every source tracked, every ingestion timestamped. Chain of custody for your data.

Schema normalization across SAP, Oracle, Dynamics 365, and Infor ERP systemsSource-aware timestamping on every recordAutomatic conflict resolution and deduplication

Processing Plant

Refinement Agents

Raw JSONB in, typed gold out. They know that one production accounting vendor uses OilWaterRunFlag=3 for oil (not 1). They know how to cross-reference wells across systems via API10. Your data quirks are their specialty.

Vendor-specific logic for Enverus, WolfePak, P2 Energy Solutions, and 30+ field systemsAPI mismatch resolution and data type casting across SCADA historians (OSIsoft PI, IP.21)Quality scoring on every refined record

Field Ops Map

Hierarchy Agents

The most underrated agents in the pipeline. They map every well, compressor, tank, and meter to its physical site, route, area, and field. No hierarchy means no context. These agents give your flags an address.

Asset hierarchies: well, site, route, area, fieldCross-system relationship mapping via Esri ArcGIS and Samsara telematicsOperational context tied to physical assets

Operations Center

Decision & Execution Agents

The closers. Evaluate every asset against configurable rules, generate flags, rank them by priority, and package them into site-level work orders. By the time your foreman opens the dashboard, the day is already planned.

Configurable rule evaluation per asset type and lift methodEconomic scoring and priority ranking by dollar impactRoute-optimized work packages delivered by 6 AM

Powering the Agents

Six ML Systems Under the Hood

The agents orchestrate the pipeline. These ML systems provide the intelligence: detection, prediction, scoring, optimization, validation, and learning.

80%+fewer false alarms

ML Anomaly Detection

Per-well models that learn normal behavior and catch subtle issues fixed thresholds miss. Trained on your SCADA history for each lift type.

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48-72hadvance warning

Predictive Maintenance

48-72 hour advance warning of equipment degradation: rod pumps, ESPs, gas lift, plunger lift, and chemical injection systems.

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35%fewer site visits

AI Route Optimization

Constraint-based optimization that maximizes economic recovery per crew-day. Geography, qualifications, equipment, and urgency all weighted.

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$per-task scoring

AI Economic Scoring

Every task scored by dollar impact: production at risk, commodity price, working interest, lifting cost, and intervention success probability.

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24/7continuous validation

AI Data QA

Eliminate false alarms before they start by detecting sensor drift, stuck values, communication faults, and data gaps automatically.

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7dlearning cycles

Reinforcement Learning

Every completed task feeds back into the models. Scoring accuracy improves, false alarms decrease, and routing tightens every week.

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Built for Operations. Trusted by IT.

If you only satisfy one side, the deal dies. WorkSync wins because both the superintendent and the IT director see what they need.

🛢️

For Operations Leaders

You do not need more dashboards. You need better decisions in the field.

✓Lease operators stop running routes based on habit
✓High-value wells get attention first, every day
✓Production loss is caught overnight, not in monthly reports
✓Fewer issues fall through the cracks

“We know exactly what to work today.”

💻

For IT & Data Leaders

You have seen “AI for oil & gas” before. Most of it fails because the data layer is broken. WorkSync fixes that first.

✓Native integration with Fabric, Databricks, Snowflake, and AWS
✓Data reliability solved before AI: schema normalization, vendor logic, API mismatches
✓Full data lineage, traceability, and source-awareness on every record
✓Explainable, configurable decision logic with auditable outputs

“We finally have a system that turns our data platform into business value.”

The Differentiator

Every other solution

Shows you what happened

Dashboards, alerts, reports, and BI tools that tell you what already occurred. Your superintendent still has to figure out what to do about it.

WorkSync

Tells your crew what to do next, and why it matters

Agents clean your data. ML models score every issue. Routes are optimized. The plan arrives at 6 AM. Ranked, routed, and ready.

Frequently Asked Questions

WorkSync deploys specialized agents orchestrating purpose-built ML models trained on upstream field operations data, not general-purpose LLMs. Twelve agents across five stations handle data extraction, normalization, refinement, hierarchy mapping, and decision execution. Each agent does one job extremely well. Together, they create a continuously running operational intelligence system.

WorkSync agents are specialized software components that each handle one step of the data-to-decision pipeline. Extraction agents ingest operational data from your SCADA, ERP, and CMMS systems. Warehouse agents normalize and store it. Refinement agents reconcile vendor-specific data quirks. Hierarchy agents map asset relationships. Decision agents evaluate conditions and generate flags. Execution agents rank priorities and build work plans. Each agent does one job. Together, they run continuously.

WorkSync agents integrate natively with 40+ systems: SCADA platforms (AVEVA, Emerson, Honeywell, Siemens, ABB, Rockwell), data historians (OSIsoft PI, GE Proficy, AspenTech IP.21), ERP systems (SAP, Oracle, Microsoft Dynamics 365, Infor), CMMS platforms (IBM Maximo), cloud data platforms (Snowflake, Databricks, Microsoft Fabric, AWS), and production accounting tools (Enverus, WolfePak, P2 Energy Solutions). No rip-and-replace required.

No. WorkSync is built for environments where trust and auditability matter. Rules are configurable. Outputs are traceable. You can see why a well was flagged, what data triggered it, which agent processed it, and how priority was calculated. Every recommendation is explainable, and every data record has full source lineage.

WorkSync provides 48-72 hours of advance warning on equipment degradation for rod pumps, ESPs, and chemical injection systems. Pattern recognition across failure histories identifies subtle signatures of developing problems before they cause downtime or production loss.

Yes. WorkSync uses reinforcement learning so that every completed task feeds back into the agent pipeline to improve tomorrow's predictions and prioritization. Scoring accuracy increases, false alarm rates decrease, and routing efficiency improves measurably with each passing week as the system learns your specific operation.

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Dive deeper into how WorkSync transforms operations.

Guide

AI Agents + ML Models. One Intelligence Layer.

The Agent Pipeline

Data Wellhead

Tank Farm

Processing Plant

Field Ops Map

Operations Center

Six ML Systems Under the Hood

ML Anomaly Detection

Predictive Maintenance

AI Route Optimization

AI Economic Scoring

AI Data QA

Reinforcement Learning

Built for Operations. Trusted by IT.

For Operations Leaders

For IT & Data Leaders

The Differentiator

Frequently Asked Questions

Explore More

How WorkSync Works

Sample 6 AM Plan

Case Studies

Why WorkSync