Most AI initiatives in oil & gas fail because they bolt intelligence onto broken processes and disconnected data.
The Alphient approach is different. With Prime (pro-code) and Prime (low-code), we start with three pillars:
Structured Knowledge
- Segment P&L by basin, asset class, and contract type
- Basin Revenue Repo
- Segment P&L Store
Automated Process Packs
- Automated revenue attribution across the integrated value chain
- Revenue Attribution Flow
Intelligent AI Agents
- Segment Analyst Agent
- Revenue Mix Monitor
- Trading P&L Bot
The business questions this unlocks:
- Revenue Mix
- Lifting Cost
- Rig Utilisation
- Exploration Speed
- AI Operations
AI agents for revenue mix, lifting cost, rig utilisation, and value chain management.
Knowledge. Process. Agents. That is the transformation formula.