Case studies

Automation that shows up in the numbers

We measure success by hours saved, errors eliminated, and decisions accelerated. Here's what that looks like in practice.

Upstream Oil & GasMid-Size E&P Operator

AFE Approval Workflow Automation

The challenge

Manual AFE processing taking 3–5 days per approval cycle, requiring data re-entry across 4 separate systems.

Our solution

Built an AI agent that extracts AFE data from PDFs, routes for approval via API, and posts results back to their ERP — zero manual entry.

AI AgentsProcess AutomationERP Integration

Results

87% faster

Approval cycle time

From 4 days to 12 hours average

450+ fields

Data entry eliminated

Per AFE, fully automated

< 0.1%

Error rate

Down from 8% manual entry errors

MidstreamMidstream Pipeline Operator

HSE Reporting Intelligence Platform

The challenge

Field crews submitting inconsistent incident reports across 12 districts, making compliance reporting a 40-hour monthly manual effort.

Our solution

AI agent standardizes incoming field reports, extracts key data, auto-populates regulatory templates, and flags anomalies for review.

HSE ComplianceAI AgentsDocument Processing

Results

40h → 4h

Monthly compliance prep

A 90% reduction in manual effort

100%

Report consistency

Standardized across all 12 districts

0

Regulatory deadlines missed

Since deployment (was 2–3/year)

Upstream Oil & GasMulti-Basin E&P Company

Operational Data Unification

The challenge

Production data living in 6 different systems — SCADA, ERP, spreadsheets, and a legacy AS/400 — making real-time decisions impossible.

Our solution

Built a unified data pipeline ingesting from all 6 sources into a central PostgreSQL layer with real-time dashboards and AI-ready API endpoints.

Data IntegrationCloud InfrastructureAPI Development

Results

6 systems

Data sources unified

Single source of truth

Real-time

Reporting latency

From T+24h batch reports

3x faster

Decision cycle

Based on operator feedback

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