AI FOR CAPITAL PROJECT DELIVERY

Know which dates will slip before they do, and fix them.

nPlan's AI has watched more than a million real projects play out. It shows you where yours will lose time, why, and which interventions buy the most of it back, months ahead.

Planners and risk teams: Schedule Studio is free to start.

Works with your planning tools and your AI assistant.

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See it on real projects, studied by nPlan from public data

Will the Chapelcross data centre campus finish on time?

Eight 120MW buildings in Scotland. Studied in October 2026.

Planned completion
7 Mar 2035
Most likely
20 Apr 2035
44 days late
Chance of hitting the date
32%
What we did
1

Built the plan. From the planning application and public filings.

2

Projected every key date. Against more than a million real projects.

3

Found the reasons. Site set-up alone adds 86 days to the date.

4

Ran six scenarios. Three fixes, a stress test and two consent delays.

Scenarios we ran
Effect on the completion date
Fix every threat we found
43 days back
Substation stress test
+2 days
Council waits for national guidance
+96 days
Ministers call the application in
+342 days

What it means. Fixing the threats lands one day late. Holding the date means changing the plan: the stagger, the sequence or the consent strategy.

Read the 35-page study →
A projection of nPlan’s reconstructed plan, not the developer’s.

Will Disney’s new Cars Land open in 2030?

Piston Peak at Magic Kingdom, Florida. Studied in October 2026.

Planned opening
14 Mar 2030
Most likely
24 Feb 2031
347 days late
Chance of hitting the date
1%
What we did
1

Built the plan. Eight phases from permits, filings and site reports.

2

Checked it against progress. Two dates reached, both as we projected.

3

Found the reasons. Ride testing and certification add 224 days.

4

Built a recovery plan. Eight interventions, each with its effect.

Scenarios we ran
Effect on the opening date
No change to the plan
Feb 2031
Strongest change to the ride sequence
H2 2030
Phased opening
First areas in 2029

What it means. On the current plan the land opens in the first half of 2031. A phased opening is the only route to 2029.

Read the 45-page study →
A projection of nPlan’s reconstructed plan, not Disney’s.

Will your project finish on time?

Here is what we do on yours. Bring a plan and a date you care about.

What we do
1

You send a plan and a date. Any format your planners already use.

2

We project every key date. The first look takes about half an hour.

3

We show the reasons. Ranked by how much each one moves your date.

4

We run the scenarios with you. Each one with what it buys back.

Your plan stays yours. Nothing you upload trains the model unless you opt in.

Trusted by
Our dataset

The nPlan difference - a vast archive of past project data

The foundation of everything we’ve built is our dataset of more than 750,000 past project schedules - the largest collection of past programmes in the world, representing every capital project sector.

Why does it matter?

Past project schedules for retrospective analysis

With experience building projects for:

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Highways

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Rail

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Public buildings

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Commercial Buildings

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Heavy infrastructure

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Oil & Gas

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Utilities

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Data Centers

Our AI has $500bn of projects under active management
Our AI has $500bn of projects under active management
Our AI has $500bn of projects under active management
Our AI has $500bn of projects under active management
Increase your Knowledge

Join the nPlan Academy

We’ve created a series of courses to enable current and future nPlan users to familiarise themselves with our software and the fundamentals of our unique technology. Master the new world of AI project controls and delivery in a few short hours, and gain new career-enhancing certifications in the process!

Learn more
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Gain recognised certifications to boost your career.

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Go ‘from zero to hero’ in approximately 2 hours

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Enjoy full access for the duration of your employer’s engagement with nPlan.

Knowledge base

Deepen your forecasting and risk management expertise -and find out what makes us tick - on our blog👇

As seen in
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How can we help you today?

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Why does it matter?

Because of something called 'Mean Absolute Error' or MAE. As more schedules become available for AI-led forecasting and risk management, MAE falls dramatically, meaning more accurate forecasts.

To understand more about the importance of MAE, read our Model Performance 101 white paper.

Why nPlan - dataset