For Automation Engineers, OT Architects, and VP Engineering

SCADA-driven work execution: the architecture for turning historian data into ranked daily action.

Most "AI for oil & gas" pitches stop at the dashboard. This page is for the engineering-grade buyer who wants the architecture diagram. Five layers, the integration patterns we support, the OT-security posture, and the specific SCADA vendors we read from. No marketing — no per-well ML romance — just the engineering.

Security & Architecture DetailSee 40+ integrations
SOC 2 Type II · IEC 62443 alignment · on-prem LLM option for governance-sensitive deployments

The 5-layer architecture

Ingest. Detect. Score. Route. Execute & Learn.

Each layer is its own set of agents working purpose-built models. Outputs of one feed inputs of the next. The whole thing is a closed loop — execution outcomes feed back into detection thresholds and scoring weights.

01 · Ingest

Read-only connections to SCADA historians, ERP, CMMS, GIS, and engineering simulators. OPC UA / MQTT / SQL Server / REST APIs / native vendor connectors for AVEVA PI, Inductive Automation Ignition, Cygnet, eLynX, Honeywell Experion, Emerson Ovation, FreeWave. Data QA agents detect sensor drift, stuck values, and bad readings before they corrupt downstream decisions.

Output
Normalized asset model — one well master, one tag dictionary, one allocation methodology
Integrations / modules
AVEVA PI · Ignition · Cygnet · eLynX · Honeywell · Emerson · OPC UA · MQTT · SQL · REST
02 · Detect

Per-well ML models learn each asset's unique operational baseline across pressures, flow rates, temperatures, runtime, dynacard shape, and intervention history. Predictive failure models flag equipment degradation 48–72 hours before failure. Anomaly detection scores deviation severity; reinforcement learning shrinks false-alarm rate over time. Threshold alarms become anomaly scores with confidence intervals.

Output
Ranked anomaly list with economic-impact estimate per item
Integrations / modules
Per-well ML · Predictive Maintenance · Reinforcement Learning · Data QA
03 · Score

Every flagged item receives a dollar-impact score: production at risk × commodity price × working interest × probability of intervention success × downside risk of deferral. Safety risk is a hard constraint (qualification gating) rather than a tradable weight. MarketSync re-runs scoring when commodity basis moves materially.

Output
Economic-impact-ranked work list, refreshed nightly + intra-shift on material events
Integrations / modules
Economic Scoring · MarketSync · Field Safety (constraint)
04 · Route

Constraint-based optimization (the same solver class UPS and Amazon use for fleet routing) assembles scored tasks into crew-day plans. Inputs: yard locations, vehicle capacity, geography, time windows, crew qualifications (H2S, OQ, equipment-specific). Mid-shift re-optimization when conditions change — weather, breakdown, new high-priority alert.

Output
Crew-day plan in the truck cab by 6 AM; mobile-first, offline-capable
Integrations / modules
Route Optimization · Field Data Capture · Mobile (iOS/Android, offline cache)
05 · Execute & Learn

Field crews run from the ranked plan. Field Data Capture writes outcomes back (configurable: read-only, partial write-back, or full bidirectional per governance). Closed outcomes feed Reinforcement Learning so tomorrow's scoring is measurably better than today's.

Output
Closed-loop intelligence — the system gets more accurate over time
Integrations / modules
Field Data Capture · Reinforcement Learning · Operations Dashboard

Integration patterns we support

Four deployment topologies, governance-graded.

Different operators have different OT-security and data-residency constraints. These four patterns cover ~95% of real deployments. We can mix and match — e.g., read-only Phase 1 with on-prem LLM, then move to bidirectional in Phase 2.

Read-only Phase 1

Initial deployment reads from existing systems-of-record without writing back. Lowest risk, fastest standup, satisfies most OT governance requirements. Most operators stay in this mode for 30-90 days post-go-live.

Default for first deployment

Configurable write-back

Phase 2 (optional). Field Data Capture writes closed-task outcomes, downtime codes, and field observations back to CMMS / production accounting on a configurable schedule. Bidirectional integration is per-system per-field — fine-grained, not all-or-nothing.

Phase 2 once data quality verified

On-prem LLM option

For operators with strict data-residency requirements (some midstream pipelines, federal contracts, sensitive M&A integration windows). The agentic layer can run on customer infrastructure rather than WorkSync cloud — same architecture, different deployment topology.

When governance requires; pricing premium ~30%

Hybrid SCADA + cloud

Common pattern: SCADA stays on-premises (per OT security best practice — IEC 62443, ISA-99), data exfiltrated through a single read-only egress firewall rule to the WorkSync cloud. No bidirectional control commands ever cross from cloud to OT.

Default architecture for cloud deployments

OT-Security posture

SOC 2 Type II
Audited annually
IEC 62443 alignment
OT security practices
Read-only OT egress
No control writes from cloud
On-prem LLM option
Customer-hosted agent layer
Per-field write governance
Fine-grained, not all-or-nothing
Audit log retention
Configurable per regulatory regime

Full architecture detail and audit reports available on request via /security or to qualified OT-architect reviewers under NDA.

For the architecture review

Bring an OT engineer. We’ll bring the architecture diagram.

6-week paid pilots run $15–25K, credited toward the first license. The pilot includes a 90-minute architecture-review session with our OT lead — bring your automation engineer, your IT architect, and any specific governance requirements.

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