Overview
New World Infusion captures decades of nuclear troubleshooting experience and embeds it into a structured system that helps engineering teams prepare investigations and produce review-ready troubleshooting artifacts faster, with greater consistency. Engineering judgment remains firmly in human hands. NWI encodes proven nuclear troubleshooting expertise into a system and uses AI to accelerate access to, and application of, that expertise.
Who NWI is For
NWI is built for nuclear plant engineers, system owners, and maintenance teams and for the leaders accountable for outage execution, documentation quality, and operational rigor.
For engineers, it reduces time spent reconstructing failure logic and formatting reports. For leadership, it improves consistency, review quality, and knowledge retention across shifts and generations.
The Challenge
Today's troubleshooting depends heavily on individual experience, manual document review, and re-creating failure logic under time-constrained environments. As plants age and experienced engineers retire, that model becomes increasingly fragile.
This is not a lack of technical capability. It is a knowledge access, consistency, and execution problem.
What NWI Enables
NWI gives engineers a structured starting point built from expert-derived failure logic, so they spend less time assembling fault trees and confirm/refute matrices and more time evaluating evidence and exercising judgment.
The result is meaningfully faster preparation, greater consistency across engineers and shifts, and reduced rework during review.
How it Helps
Without NWI
- —Engineers reconstruct failure logic from memory and scattered documents
- —Fault trees and matrices are built manually
- —Report formatting varies by individual
- —Reviews uncover inconsistencies late in the process
With NWI
- +Investigations start from expert-defined failure structures
- +Core troubleshooting artifacts are generated in minutes, not hours
- +Outputs align to established review expectations
- +Engineering judgment, validation, and approval remain fully human-led