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

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

Most AI initiatives in construction 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 and margin data by sector, region, client type, and contract form
  • Project Portfolio Graph
  • Sector Margin Hub

Automated Process Packs

  • Pipeline analytics that reveal margin and risk profile by project type
  • Bid Strategy Pipeline

Intelligent AI Agents

  • Bid Strategy Agent
  • Portfolio Risk Assessor
  • Sector Mix Optimiser

The business questions this unlocks:

  • Revenue Mix
  • Project Margin
  • Labour Productivity
  • Project Delivery Speed
  • AI Across Projects

AI agents for revenue mix, project margins, labour productivity, and BIM.

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

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