nPlan: AI-Powered Construction Forecasting and Risk Management

Key Features

• AI-powered forecasting

  Forecasts project end dates and milestones using machine learning and historical project data.

• Schedule Generation

  Supports creating and editing detailed, logic-linked schedules from scope documentation using generative AI.

• Risk Identification

  Helps identify risky activities and potential risks that may not be visible on the deterministic critical path.

• Automated Reporting

  Supports generating project controls reports by analyzing uploaded documents such as XER, XML, and PDF files.

• Schedule Integrity Checking

  Identifies integrity issues and provides data on the composition of a schedule.

• Portfolio Risk Quantification

  Supports quantifying deliverability and systemic risks across multiple projects.

Use Cases

• Bid Schedule Evaluation

  Use of historical data to evaluate competing bid schedules and select contractors.

• Project Controls Reporting

  Creating reports from schedule files, risk registers, and meeting minutes.

• Investment Case Assurance

  Demonstrating project deliverability to support the business case for new construction.

• Portfolio Monitoring

  Tracking strategic risk themes across a group of projects to identify where leadership interventions may be needed.

Integrations

• Power BI
• Tableau

FAQ

What data does nPlan use for its forecasts?

nPlan uses a dataset of over 750,000 historical project schedules to train its AI and generate forecasts.

Can nPlan help with project reporting?

Yes, the AutoReport tool is designed to generate project controls reports from file formats including XER, XML, and PDF.

Who is the target user for nPlan?

It is designed for Portfolio Directors, PMO Managers, Planners, and Risk Managers in sectors such as infrastructure, energy, and commercial building construction.