nPlan is AI for construction schedules that forecasts uncertainty on every activity using 750,000+ past schedules, with tools to build, check, and question programmes.

nPlan Review: AEC Tool Overview & AI Alternatives

Definition

Since 2017, nPlan has trained its forecasting engine on more than 750,000 historical schedules that the company says represent over $2 trillion of construction spend. Teams upload a schedule exported from Oracle Primavera P6, Asta Powerproject, or Microsoft Project, and nPlan forecasts the uncertainty of each activity rather than only a rolled-up finish date, an approach it calls AI-SRA as an alternative to a traditional QSRA. Insights serves single project teams, Portfolio covers owners and programme leads watching many projects, and the Schedule Integrity Checker runs checks that go beyond the DCMA 14-point assessment. Schedule Studio generates logic-linked, editable schedules from a scope document or brief. Barry, the project controls AI agent, runs on nPlan's own Infrastructure, Construction and Engineering Language Model (ICE-LM) and can summarize integrity issues, explain critical and sub-critical paths, compare revisions, and match a risk register to the schedule. The company has also demonstrated Decision Intelligence for scenario modeling and Barry Live for meetings.

In Depth

Most schedule risk analysis starts with a workshop: planners and project leads assign three-point durations to activities, often to a rolled-up summary schedule, and a Monte Carlo run produces a P50 and P80. nPlan replaces the opinion part of that process with a model trained on more than 750,000 past schedules. You upload the working schedule as it is, without rolling it up, and nPlan forecasts a duration range for every activity based on how similar activities performed on past projects. The output shows where risk sits, including on paths far from the deterministic critical path that a planner might not be watching.

The product line maps to different people on a capital program. A planner uses Insights or the Schedule Integrity Checker to clean up logic, open ends, and constraint problems before a submission. An owner's programme team uses Portfolio to spot systemic risk across dozens of schedules. Schedule Studio targets the front end of a project, drafting a logic-linked, editable schedule from a scope document that a planner then refines. Barry, the language model agent, sits across all of it and turns forecasts, integrity findings, and revision comparisons into text that can go straight into a monthly report.

When evaluating nPlan, ask how its forecasts compare with your own historical outcomes on similar work, how it handles schedules with heavy constraints or level-of-effort activities, and how the AI-SRA output would be accepted by the owner or lender who currently expects a QSRA. It is also worth confirming how the company handles the historical schedules it receives from clients, since that dataset is central to how the product works.

Examples

1

Uploading a P6 baseline and seeing which activities far off the deterministic critical path carry the most forecast delay risk

2

Asking Barry to write a plain-English summary of what changed between schedule revision 7 and revision 8 for the monthly owner report

3

Using Schedule Studio to draft a logic-linked schedule for a new substation from the scope document, then refining it before the first submission

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Frequently Asked Questions

Since 2017, nPlan has trained its forecasting engine on more than 750,000 historical schedules that the company says represent over $2 trillion of construction spend. Teams upload a schedule exported from Oracle Primavera P6, Asta Powerproject, or Microsoft Project, and nPlan forecasts the uncertainty of each activity rather than only a rolled-up finish date, an approach it calls AI-SRA as an alternative to a traditional QSRA. Insights serves single project teams, Portfolio covers owners and programme leads watching many projects, and the Schedule Integrity Checker runs checks that go beyond the DCMA 14-point assessment. Schedule Studio generates logic-linked, editable schedules from a scope document or brief. Barry, the project controls AI agent, runs on nPlan's own Infrastructure, Construction and Engineering Language Model (ICE-LM) and can summarize integrity issues, explain critical and sub-critical paths, compare revisions, and match a risk register to the schedule. The company has also demonstrated Decision Intelligence for scenario modeling and Barry Live for meetings.

Uploading a P6 baseline and seeing which activities far off the deterministic critical path carry the most forecast delay risk. Asking Barry to write a plain-English summary of what changed between schedule revision 7 and revision 8 for the monthly owner report. Using Schedule Studio to draft a logic-linked schedule for a new substation from the scope document, then refining it before the first submission.