Performance Improvement AI

Core Capabilities

Smart CR Generation

PIAI’s Smart CR Generation allows users to author condition reports directly within Nuclearn’s platform using guided AI assistance. It provides real-time coaching, prompts for missing context, and ensures alignment with INPO and site standards. Whether new or experienced, every user can create consistent, high-quality reports that reduce rework and strengthen downstream analysis.

Observation AI

Observation AI replaces inconsistent field observation processes with guided, conversational data capture. Observers record insights through chat or voice while the AI asks clarifying questions based on the OODA (Observe, Orient, Decide, Act) model. This creates structured, analyzable data that feeds directly into CAP and trending dashboards, improving safety and performance visibility.

Condition Report Screening Automation

This module automates the intake and classification of condition reports. It applies AI-driven screening to determine significance, assign cause codes, and detect duplicates. Human reviewers stay in the loop, ensuring oversight and transparency. Plants experience faster screening cycles, reduced backlogs, and improved data quality.

Safety Analyzer

Serving as the analytical core of PIAI, Safety Analyzer continuously reviews CAP and observation data to identify safety trends and emerging risks. It automatically applies standard safety codes and produces auditable reports that meet INPO, NRC, and site-specific requirements. Its early-warning insights help prevent events before they occur.

Operating Experience (OE) Intelligence

OE Intelligence links internal events with broader industry lessons learned. It automatically surfaces relevant INPO and NRC reports, connecting them to ongoing CRs or evaluations. This ensures every corrective action benefits from decades of accumulated operating experience—reducing repeat events and reinforcing proactive safety culture.

Causal Analysis & Corrective Actions

PIAI assists analysts by drafting Apparent and Root Cause Evaluations based on contextual plant data. It proposes potential causes, contributing factors, and recommended actions, allowing experts to refine and validate results. The system ensures that corrective actions are traceable, measurable, and aligned with procedural requirements.

Performance Trending & KPI Analytics

PIAI aggregates performance data across the organization to deliver real-time dashboards and KPI summaries. Automated heat maps, narrative insights, and trend detection highlight recurring issues and improvement opportunities. With Power BI integration, leadership gains always-current visibility into performance health and progress.

CAP Health & Performance Reporting

This feature automates the creation of CAP Health Reports, consolidating CR, observation, and corrective action data into ready-to-publish drafts. Reports follow site formats, include visual analytics, and eliminate hours of manual data consolidation—improving reporting quality and consistency.

Case Study

“Finally, a Performance Improvement system that works the way we do.”

“Before PIAI, our corrective action process was slow and inconsistent — data lived everywhere, and getting a full picture meant chasing spreadsheets and emails. Now, everything we need is right in front of us. PIAI gives us complete visibility from the moment an observation is entered through causal analysis, implementation, and verification. It’s not just faster — it’s more reliable. Every report is traceable, every action is accountable, and our teams actually trust the data. What used to take days of follow-up now takes minutes, and the accuracy is night and day. For us, it’s the first time the Performance Improvement program has felt truly proactive.” – Director of Performance Improvement, U.S. Nuclear Utility