Modernizing Oil and Gas Royalty Operations with an AI Revenue Intelligence
Oil and gas royalty operations involve complex deal lifecycles, revenue verification, investor distributions, and financial tracking. Red Buffer built Plutus 21, an intelligent enterprise platform that centralizes workflows, detects revenue anomalies, and improves operational visibility.
ROLE
Enterprise platform architecture, machine learning driven anomaly detection, financial analytics pipeline development, workflow system implementation, and operational dashboard engineering.
TOOL
Next.js, NestJS, Python, PostgreSQL, Machine Learning Models, Financial Analytics Pipelines
DURATION
Multi-phase enterprise engagement with ongoing platform expansion and analytics integration.
Our Approach
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Deal Lifecycle Management System
Developed structured workflow stages for approvals, bid submissions, revenue verification, and investor distribution tracking across the royalty operations lifecycle.
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Revenue Intelligence and Anomaly Detection
Built machine learning models to identify abnormalities and inconsistencies in revenue data enabling proactive financial monitoring and issue detection.
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Centralized Dashboards and Reporting
Created real-time dashboards visualizing deal progress, financial metrics, investor distributions, and operational performance across the organization.
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Scalable Enterprise Architecture
Engineered extensible backend and database systems designed to support future analytics, reporting, and geospatial integrations as the platform evolves.
Why It Matters
This project unified fragmented energy sector operations into a single intelligent platform. Combining workflow automation, financial analytics, and anomaly detection gave Noble stronger visibility into deal performance, revenue accuracy, and investor-facing operations.
Outcome
Improved Operational Visibility
Centralized dashboards provided real-time insight into royalty deal lifecycles and financial operations.
Enhanced Revenue Accuracy
Machine learning powered anomaly detection reduced inconsistencies in revenue monitoring and investor distributions.
Faster Decision Making
Structured workflows and centralized reporting accelerated approvals and operational processes.
Scalable Enterprise Foundation
Extensible architecture prepared the platform for future analytics, reporting, and geospatial expansion.
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