Root Cause Analysis Software & Failure Investigation Platform

AI Root Cause Analysis Software for Industrial Teams.

RootLens™ is AI-powered root cause analysis and failure investigation software built for reliability and maintenance engineers. Structure 5-Whys analysis, map contributing factors, track corrective actions, and stop the same equipment failures from recurring.

The Product

See how AI-powered RCA works in practice.

An AI assistant maps contributing factors to underlying causes and corrective actions — giving your team a clear, defensible path from failure to fix.

RootLens investigation dashboard showing root cause analysis with contributing factors, corrective actions, and evidence

The Problem

Failure investigations happen. The learning rarely sticks — until AI changes that.

When equipment fails or an incident occurs, organizations investigate. But too often those investigations produce reports that are filed away, root causes that are misidentified, and corrective actions that are never verified.

The same failures recur. The same RCA is repeated by different engineers, years apart. RootLens™ breaks this cycle with an AI assistant that structures every failure investigation with a consistent methodology — and turns each one into a reusable knowledge asset your whole organization can learn from.

Step-by-Step Workflow

How RootLens™ guides a failure investigation from start to finish.

01

Define the Failure Event

Capture the equipment, location, date, and a clear description of what failed. RootLens™ prompts for the right information so no critical context is missing from the outset.

02

Map Contributing Factors

The AI assistant guides investigators through identifying all contributing factors — physical, human, and latent — using a structured framework that prevents premature conclusions.

03

Apply 5-Whys or Fault Tree Analysis

Drill down from symptoms to root causes using AI-guided 5-Whys analysis or fault tree methodology. The AI ensures each 'why' is answered with evidence, not assumption.

04

Identify Root Causes

Move beyond surface-level symptoms to the underlying causes — whether physical failure, design deficiency, maintenance error, or management system gap. AI analysis surfaces what manual investigation often misses.

05

Define Corrective Actions

Assign corrective and preventive actions with owners, due dates, and verification criteria. RootLens™ tracks each action to closure so nothing falls through the cracks.

06

Generate Audit-Ready Documentation

Produce a complete, professionally structured failure investigation report — ready for management review, client submission, or regulatory audit — in a fraction of the time.

How It Works

From finding to understanding — every time, with AI.

AI-Guided Failure Investigation Framework

An AI assistant transforms raw incident data into organized RCA investigations with consistent methodology — so every root cause analysis builds on the last and findings are comparable over time.

5-Whys Analysis with AI Validation

RootLens™ guides teams through 5-Whys analysis, validating each step with evidence and flagging when an answer is assumption rather than fact — producing defensible root cause conclusions every time.

Equipment Failure Analysis Across Asset Classes

Whether investigating rotating equipment, static vessels, electrical systems, or instrumentation, RootLens™ applies the right failure analysis framework for the asset type and failure mode.

Corrective Action Management

Every corrective and preventive action is tracked from assignment to verification. RootLens™ ensures actions are completed, not just documented — closing the loop on every investigation.

Searchable Industrial RCA Library

Every completed investigation is stored in a searchable, AI-organized library. When a similar failure occurs, engineers find relevant past investigations instantly — cutting investigation time and preventing repeated mistakes.

Systemic Failure Pattern Detection

As investigations accumulate, the AI surfaces failure patterns across equipment, sites, and time periods — helping reliability teams see systemic issues before they become systemic failures.

Use Cases

Where industrial teams use RootLens™.

Power Generation

Gas Turbine Failure Investigation

Investigate combustion liner failures, compressor blade degradation, and bearing failures with a structured RCA framework that produces audit-ready reports for OEM and insurance review.

Oil & Gas

Equipment Failure Analysis on Upstream Assets

Conduct thorough failure investigations on pumps, compressors, valves, and pipelines — with corrective actions tracked to closure and findings shared across operating sites.

Petrochemical

Process Equipment RCA

Investigate heat exchanger fouling, pump seal failures, and reactor incidents using AI-guided methodology that meets process safety management documentation requirements.

Utilities

Reliability-Centred Maintenance Support

Build a library of equipment failure investigations that informs RCM analysis, maintenance strategy reviews, and asset management decisions across the asset lifecycle.

Outcomes

What changes when understanding compounds.

  • Reduce repeat failures by using AI to identify and address root causes, not symptoms
  • Build a searchable, AI-organized library of past RCA investigations and corrective actions
  • Cut failure investigation time when similar incidents arise in the future
  • Enable maintenance managers and reliability engineers to act on technical findings
  • Strengthen asset reliability through AI-assisted, continuous organisational learning

Better Together

Pair with ReportImpulse™ for end-to-end decision intelligence.

ReportImpulse™ uses AI to capture and organize field knowledge at the source. RootLens™ takes that knowledge and uses AI to turn it into structured investigations and lasting organizational learning. Together, they close the full loop — from observation to decision.

Learn about ReportImpulse™

Frequently Asked Questions

Everything you need to know about RootLens™.

From the blog

Related reading

Root Cause Analysis in the Age of AI: A Practical Guide

How AI is changing the quality and speed of RCA for reliability engineering teams.

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Root Cause Analysis: A Practical Guide for Technical Teams

A step-by-step guide to structured RCA that actually prevents failures from recurring.

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Failure Investigation Software: What Technical Teams Should Look For

What separates software that improves reliability from software that adds process overhead.

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Ready to let AI turn your investigations into intelligence?

Get in touch to learn how RootLens™ and its AI assistant can help your organization learn faster and make better technical decisions over time.