Most AI initiatives in transport 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
- Spend and performance mapping across roads, rail, aviation, maritime & local
- Modal Spend Repo
- Demand Forecast DB
Automated Process Packs
- Cross-modal demand analysis and resource allocation workflows
- Budget Allocation Flow
Intelligent AI Agents
- Portfolio Analyst
- Demand Forecaster
- Modal Optimizer
The business questions this unlocks:
- Network Portfolio
- Cost Per Journey
- Network Performance
- Infrastructure Delivery
- AI Across Transport
AI agents for network portfolio, cost per journey, performance, and infrastructure.
Knowledge. Process. Agents. That is the transformation formula.