RCA AI Engine™
Root cause findings that hold up under scrutiny.
A deterministic, evidence-grounded RCA platform built for reliability engineers and quality teams — accelerating investigations from hours to minutes while producing structured, auditable outputs every time.
Solve Complex Reliability Problems with Audit-Safe Precision
A deterministic, AI-powered RCA platform that accelerates investigations, enforces structured logic, and produces defensible outputs every time.
Built for Industrial Teams Solving High-Stakes Problems
The RCA AI Engine™ is a web-based application that guides maintenance, reliability, CI, and EHS teams through structured, logic-driven investigations. It eliminates guesswork, accelerates root cause discovery, and ensures every investigation meets reviewer-grade standards.
Key Capabilities
- Deterministic RCA logic with AI-assisted reasoning
- Multi-layered cause modeling
- Contributor tagging & severity scoring
- Confidence-weighted conclusions
- Audit-safe documentation
Powered by Advanced AI & Engineering Logic
This is not a chatbot — it’s an engineering-grade reasoning engine.
Gemini 2.5 Pro Reasoning
Deep causal analysis and logic validation.
RAG + Knowledgebase
Domain-specific accuracy integrated with your data.
Introspection
Self-assessment of analysis assumptions, blind spots & quality
Multiple RCA Techniques in One Platform
The RCA AI Engine™ supports all major industry‑standard RCA methods. These six core techniques form the foundation of most industrial investigations and are fully integrated into the platform.
5-Whys Analysis
Simple, iterative root cause drilling.
Fault Tree Analysis (FTA)
Logic gates and Probability weighting
Failure Modes & Effects Analysis (FMEA)
Failure modes, effects, and severity scoring.
Reliability Block Diagrams
System availability modeling.
Event Timeline
Reconstruct sequences with precision.
Causal Inference
Evidence-backed modeling
These core techniques are just the beginning. Explore the full suite of integrated RCA modules below
How the RCA AI Engine™ Works
1
Define
Capture event details and context
2
Diagnose
AI suggests hypothesis & patterns
3
Design
Build multi-layered cause models
4
Deploy
Generate structured action plans
5
Deliver
Export reviewer grade reports
Each step of this workflow is powered by a set of specialized RCA modules. Explore the full module library below.
Technique Modules Deep-Dive
5-Whys
A structured, iterative questioning method that drills down to the underlying root causes behind failures. The engine guides teams through evidence‑based reasoning rather than guesswork.
Fault Tree Analysis (FTA)
A top‑down logic model that maps failure pathways using AND/OR gates. The engine automatically structures events, contributing factors, and logical dependencies to reveal the most probable failure routes.
Failure Modes & Effects Analysis (FMEA)
A systematic evaluation of failure modes, their effects, and their severity, occurrence, and detection ratings. The engine standardizes scoring, highlights high‑risk items, and ensures consistent, reviewer‑grade documentation.
6M Analysis (Ishikawa / Fishbone)
A cause‑categorization framework across Man, Machine, Method, Material, Measurement, and Mother Nature. The engine helps teams map contributing factors with clarity and ensures no causal dimension is overlooked.
Timeline of Events
A precise chronological reconstruction of events, actions, alarms, and system states. The engine aligns evidence, timestamps, and operator notes to reveal sequence‑driven causal insights.
Ontology Mapping
A domain‑specific knowledge structure that links causes, effects, components, and failure mechanisms. Ensures consistent terminology and cross‑module alignment.
Causal Inference Model
Evidence‑based modeling that evaluates the strength of cause‑effect relationships. Supports defensible conclusions grounded in data, not assumptions.
Knowledge Graph
A dynamic map of entities, components, failure modes, and relationships. Helps teams see the “big picture” across complex systems.
Audit Notes
A reviewer‑grade annotation system that captures comments, clarifications, and audit trails. Ensures every investigation is transparent and defensible.
KPI Analysis
A data‑driven review of performance indicators that highlights deviations, emerging trends, and threshold breaches. The engine correlates KPI movements with causal factors, helping teams validate hypotheses and focus investigations on what truly shifted the system.
Action-Item Log
A centralized list of corrective and preventive actions derived from the RCA. Tracks ownership, deadlines, and completion status.
PM Analysis
Evaluates the preventive maintenance program against the failure timeline — deferred work orders, inspection intervals, procedure adherence, and vendor bulletin compliance. Identifies whether maintenance gaps were a contributing cause and surfaces specific program improvements.
Reliability Block Diagram (RBD)
A structured summary of model validation, reviewer feedback, and investigation completeness. Ensures every RCA meets internal and external compliance standards.
Where the RCA AI Engine™ Delivers Impact
The RCA AI Engine™ helps industrial teams solve high-stakes problems with speed, structure, and audit-safe clarity. Here’s where it delivers the most impact:
Eliminate chronic equipment failures
Stop recurring bad actors with structured RCA and contribute tagging
Recover quickly from high-cost downtime
Accelerate investigations and prevent recurrence with confidence-weighted conclusions.
Ensure rigorous compliance for safety & EHS incidents
Generate audit-safe documentation and traceable logic for every event.
Stabilize quality by reducing process variability
Use deterministic RCA to isolate root causes and standardize corrective actions.
Resolve warranty disputes with data-backed evidence
Deliver defensible outputs that support claims and protect margins.
Unify operations and maintenance data for cross-functional issues
Bridge silos with structured workflows and shared RCA logic.
Why Reliability Leaders Choose the RCA AI Engine™
Engineering-Grade Logic
Built by a reliability engineer, not a generic AI tool.
Audit-Safe Outputs
Every conclusion is traceable, structured, and defensible.
AI That Enforces Rigor
Not a chatbot — a deterministic reasoning engine.
Built-In Quality Assurance
Scoring evidence sufficiency, grounding coverage, and hallucination risk across every module.
Flexible Engagement Options
Ready to Transform Your RCA Process ?
See how AI-enabled, deterministic RCA can elevate your relibility program.