AI FOR CAPITAL PROJECT DELIVERY

Prevent project delays months before they happen.

nPlan's AI has seen more than 780,000 real projects play out. It shows you where yours will lose time, why, and which interventions buy the most time back, months ahead.

Planners and risk teams: generate schedules from scope documents with Schedule Studio. Free to start.

Works with your preferred planning tools and AI assistant.

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NPLAN RESEARCH

Independent forecasts of major live projects.

Will the Chapelcross data centre campus finish on time?

Eight 120MW buildings in Scotland.

44 days late
Planned finish
7 Mar 2035
nPlan forecast
20 Apr 2035

32% chance of hitting the planned date

Spread of likely finish dates
Factors affecting key milestones
Mitigate every risk we found
43 days
Substation stress test
2 days
Council waits for national planning guidance
96 days
Scottish Ministers take over the planning decision
342 days

Mitigating every risk we found brings the campus back to within a day of its planned finish.

Read the full study
How we did it
What we did
01

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

02

Forecast every key milestone. Using our dataset of more than 780,000 past projects.

03

Identified the risks. Site set-up alone adds 86 days to the date.

04

Ran six scenarios. To find the most effective interventions.

Forecast based on nPlan’s reconstruction of the plan from public documents, not the developer’s own schedule.

Will Disney’s new Cars Land open in 2030?

Disney’s new Cars-themed land at Magic Kingdom, Florida.

347 days late
Planned opening
14 Mar 2030
nPlan forecast
24 Feb 2031

1% chance of hitting the planned date

Spread of likely opening dates
What could move the opening date
No change to the plan
Feb 2031
Biggest change to the ride sequence
Second half of 2030
Phased opening
First areas in 2029

On the current plan the land opens in the first half of 2031, so a phased opening is the only way to open in 2030.

Read the full study
How we did it
What we did
01

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

02

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

03

Identified the risks. Ride testing and certification add 224 days.

04

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

Forecast based on nPlan’s reconstruction of the plan from public documents, not Disney’s own schedule.

Will Darlington’s first small modular reactor be running by the end of 2030?

The first small modular reactor in the G7, in Ontario.

840 days late
OPG’s working plan
Apr 2030
nPlan forecast
12 Aug 2032

1% chance of hitting the working plan date

Spread of likely operation dates
Factors affecting key milestones
No change to the plan
840 days
Commissioning team ready early
127 days
Tunnelling crews and key trades
73 days
All six decisions together
283 days

OPG’s end-2030 target leaves too little buffer. Six decisions win back 283 days, and four of them are due before 1 December 2026.

Read the full study
How we did it
What we did
01

Built the plan. From OPG’s filings with the energy regulator.

02

Forecast every key milestone. Using our dataset of more than 780,000 past projects.

03

Checked it against progress. Nine dates reached. Ours was nearer on six.

04

Tested six decisions. Each with what it buys back and when to decide.

Forecast based on nPlan’s reconstruction of the plan from public documents, not OPG’s own schedule.

Will your project finish on time?

Send us your plan and the date that matters most, and we’ll run the same forecast on your project.

How it works
01

Share your plan in whatever format your planners already use, along with the date you care about.

02

We project every key date, with a first look ready in about 30 minutes.

03

We show what’s driving any delay, ranked by how much each reason moves your date.

04

We run the scenarios with your team, so you can see how much time each option buys back.

Your plan remains private to you, and nothing you upload is used to train 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

How nPlan works

Plan, forecast, accelerate.

Run tight decision loops at the speed of AI. Schedule Studio builds and edits your plan from your project documents. Insights forecasts every activity and key milestone, shows you where risk is building on the critical path, and ranks the activities that most threaten your dates. Compare mitigations side by side and act on the one with the most impact, while there's still time. Barry, nPlan's AI agent, can run the whole loop for you. Your team makes the critical decisions.

nPlan forecast36 days late9 days late
Planned finishForecast
Illustrative
Repeats with every schedule update

Run the loop yourself, or let Barry, nPlan's AI agent, run it for you.

Build and edit the plan

Draft the plan in minutes from your scope, designs, 2D and 3D drawings, contracts and tender. Then edit it, check it for gaps and errors, compare versions and add progress, all in one place.

Check progress

Insights checks every update and flags work that was due but not done, so the forecast uses what actually happened.

Forecast every activity

A data-driven forecast for every activity and key milestone, the chance of hitting each date, and a ranked list of the activities that pose the most risk to your milestones.

Test before you commit

Compare mitigation scenarios and see which has the most impact on your key milestones.

Track and report

Track every action your team takes and the risk themes across the project. Barry builds your assurance report and board pack from your forecasts, risks, scenarios and mitigations, all in one place.

Portfolio

Scale this process across multiple projects with nPlan Portfolio, and recover more time by addressing portfolio-wide risks.

Track record

Data-driven forecasts, validated against real outcomes.

Insights forecasts with a model trained on more than 780,000 past project schedules. Each forecast shows the full range of outcomes, not one date.

Your dateMost likely
Illustrative
8 years
in production
10M+
forecasts made
85%+
of delays called before they happened
9 in 10
delays called by nPlan came true

How we measure this

We compared every activity where nPlan's AI forecast a delay of more than a month with when it actually finished, and every activity that finished more than a month late with whether nPlan's AI had predicted it.

The goal

Finish ahead of schedule.

nPlan Insights ranks the mitigations in your plan by how much time each one recovers on your key milestones. As your team acts, every schedule update shows how much time you've recovered so far.

One key date, three mitigations
Planned finish
Forecast before any decision
94 days late
1. Resequence the fit-out
38 days back
2. Add a second electrical crew
21 days back
3. Phase the handover
47 days back
Forecast now
12 days early, 106 days won back
Illustrative example. Your numbers come from your own plan.

Ask Barry, nPlan's AI agent, about your project.

It draws on more than 780,000 past projects to answer.

Try asking
“Draft a plan for this data centre from the scope and the drawings.”
“Which activities pose the most risk to our key milestones?”
“What if we add a second electrical crew?”
“Write the board pack for Thursday’s meeting.”
Talk to us
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👇

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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