Speed-Running the Project Controls Loop - Using Chicago Transit Authority’s Red Line Extension as a Case Study

Speed-Running the Project Controls Loop - Using Chicago Transit Authority’s Red Line Extension as a Case Study

At AI Day, we showed - using Chicago’s Red Line Extension as a case study - how collapsing the cost of running the Project Controls Loop transforms how capital projects are controlled and delivered.

Traditional risk software vs nPlan

Traditional risk software vs nPlan

A guide to the differences between traditional risk software and nPlan’s AI-driven Schedule Risk Analysis (AI-SRA). Learn how to differentiate between the two and which works best for your projects and objectives.

Schedule Analytics vs nPlan

Schedule Analytics vs nPlan

A guide to the differences between Schedule Analytics and nPlan’s AI-driven Schedule Risk Analysis (AI-SRA). Learn how to differentiate between the two and which works best for your projects and objectives.

nPlan Insights Pro and nPlan Portfolio now integrate with Power BI

nPlan Insights Pro and nPlan Portfolio now integrate with Power BI

Two new nTegrations mean you can turn your Power BI set-up from a static reporting tool into a proactive decision-support system

APTA’s Strategic Plan & nPlan: Capital Delivery Risk in the Spotlight

APTA’s Strategic Plan & nPlan: Capital Delivery Risk in the Spotlight

APTA now expects a lot more from transit agencies; here's how nPlan can help.

From Gravity Hazards to Cyclone Recovery: Chevron's Big Bet on AI for Project Success - Part II

From Gravity Hazards to Cyclone Recovery: Chevron's Big Bet on AI for Project Success - Part II

How nPlan Helps Transit Agencies Meet the FTA’s New Guidelines

How nPlan Helps Transit Agencies Meet the FTA’s New Guidelines

If your agency is navigating a PMOC review or preparing for a wave of capital delivery, now is the time to align your risk process with the FTA’s new standard.

Stop letting "AI" scare you and start demanding better outcomes

Stop letting "AI" scare you and start demanding better outcomes

Stop debating AI and start demanding results. The status quo approach in transportation project delivery just isn't working.

The limits of traditional risk reviews in US transit programs

The limits of traditional risk reviews in US transit programs

How major transit organizations are rethinking delivery risk and the new urgency behind it.

Forecasting the Future: Chevron’s Big Bet on AI for Project Success - Part I

Forecasting the Future: Chevron’s Big Bet on AI for Project Success - Part I

Reference Class Forecasting (RCF) vs nPlan

Reference Class Forecasting (RCF) vs nPlan

A guide to the differences between RCF and nPlan’s AI-driven Schedule Risk Analysis (SRA) - and how to work out which methodology is needed for a given project phase.