AI planning comparison

DesignFlow Build vs nPlan

nPlan emphasizes probabilistic schedules and Monte Carlo. DesignFlow combines AI scheduling with ERP data, NASA CER cost confidence, forensic delay workflows, and multi-role portals.

Comparison at a glance

AreaDesignFlow BuildnPlan
AI forecasting

Forecasts tied to ERP actuals and commitments

ML-led duration and risk forecasting

Monte Carlo simulation

Risk views + cost confidence (NASA CER curves)

Probabilistic scheduling and simulation core

Risk analysis

Schedule, cost, and subcontractor risk in one stack

Deep probabilistic schedule risk

Schedule generation

AI-assisted baseline generation inside ERP

AI planning focused on predictive schedules

Pricing

Modular ERP + transparent AI credits

Enterprise contracts; contact for pricing

Where DesignFlow Build leads
  • Full ERP integration: the same platform runs jobs, cost, and subs—not just the schedule engine.
  • NASA CER–style cost curves pair with dates so stakeholders see cost and time confidence together.
  • Forensic delay analysis connects to financial and documentary context when disputes arise.
  • Portal system for controlled visibility across owners, trades, and internal teams.