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Treasury is ready for agentic transformation -- but only if the foundation is right

Most AI initiatives in treasury fail because they bolt intelligence onto broken processes and disconnected data.

Most AI initiatives in treasury 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 stream analytics across income, corporate, VAT, customs & CGT
  • Revenue Stream Repo
  • Tax Head Forecast DB

Automated Process Packs

  • Real-time revenue tracking with forecast variance alerts by tax head
  • Revenue Tracker Pipeline

Intelligent AI Agents

  • Revenue Analyst
  • Mix Shift Detector
  • Forecast Agent

The business questions this unlocks:

  • Revenue Composition
  • Cost of Collection
  • Inspector Productivity
  • Processing Speed
  • AI Across Tax

AI agents for revenue composition, collection cost, inspector productivity, and forecast variance.

Knowledge. Process. Agents. That is the transformation formula.

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