Most AI initiatives in manufacturing 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
- Revenue segmentation data across product, aftermarket, and service lines
- Revenue Segmentation Graph
- Aftermarket Margin Hub
Automated Process Packs
- Service revenue pipelines that link asset data to recurring contract value
- Service Revenue Pipeline
Intelligent AI Agents
- Aftermarket Opportunity Agent
- Service Pricing Agent
- Contract Renewal Predictor
The business questions this unlocks:
- Revenue Mix
- Cost of Production
- OEE & Asset Utilisation
- Production Speed
- AI Across the Plant
AI agents for revenue mix, production cost, OEE, and aftermarket growth.
Knowledge. Process. Agents. That is the transformation formula.