AI generative scheduling construction McKinsey ALICE

AI generative scheduling construction McKinsey ALICE

Global | April 2026 — McKinsey & Company has partnered with ALICE Technologies to deliver generative AI-powered scheduling solutions for the construction and infrastructure sectors.

The collaboration aims to help contractors optimize project timelines and improve decision-making through advanced artificial intelligence.

What the Technology Does

The generative scheduling platform uses AI to:

  • Simulate multiple “what-if” scenarios
  • Optimize construction sequencing
  • Identify faster and more efficient project plans

According to the companies, the technology can accelerate project schedules by up to 20%.

Adoption and Use Cases

The solution has already been deployed to more than 35 clients across sectors such as:

  • Infrastructure
  • Data centers
  • Energy
  • Manufacturing

These early implementations demonstrate the platform’s ability to enhance productivity and reduce delays.

Industry Perspective

Erikhans Kok, Senior Partner at McKinsey, stated that generative scheduling represents a significant shift in capital project performance. He emphasized that when combined with strong project controls and operating models, the technology enables faster and more informed decisions.

Strategic Impact

The partnership reflects a broader industry trend toward AI-driven construction management, where digital tools reduce reliance on manual planning and improve efficiency.

By integrating generative AI into scheduling, contractors can better manage costs, timelines, and risks in complex projects.

Outlook

As adoption grows, AI-powered scheduling is expected to become a core capability in modern construction delivery, particularly for large-scale and time-sensitive infrastructure projects.

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