Earned Value Management AI
AI-enhanced earned value analysis for project performance measurement.
Definition
Earned Value Management AI automates earned value calculations and analysis for construction projects. It tracks planned value, earned value, and actual costs to calculate performance indices, forecast completion costs, and identify projects at risk of budget or schedule overruns.
In Depth
Earned Value Management (EVM) integrates scope, schedule, and cost data to measure project performance objectively. AI enhances EVM by automating the data collection, improving the accuracy of percent-complete estimates, and producing forecasts that account for the non-linear nature of construction projects.
The data collection challenge is the biggest barrier to EVM adoption in construction. Calculating earned value requires knowing the budgeted cost, the actual cost, and the percent complete for every work package — data that resides in different systems (the estimate, the accounting system, and the schedule). AI integrates these data sources automatically, producing current EVM metrics without the manual spreadsheet work that makes traditional EVM impractical on fast-moving projects.
Examples
Calculating earned value metrics
Forecasting project completion
Analyzing cost and schedule variance
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Earned Value Management AI automates earned value calculations and analysis for construction projects. It tracks planned value, earned value, and actual costs to calculate performance indices, forecast completion costs, and identify projects at risk of budget or schedule overruns.
Calculating earned value metrics. Forecasting project completion. Analyzing cost and schedule variance.
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