We are reimagining Root Cause Analysis for the AI era by transforming RCA from a manual, workshop-heavy process into a smarter, evidence-led workflow.  

By using AI as a co-facilitator, our application helps organise and synthesise evidence, build a factual sequence of events, identify missing information and generate an evidence-based cause tree for SME challenge.

The multidisciplinary team remains at the centre, applying technical judgement and making final decisions. AI accelerates the process while people own the outcome.

1. Why RCA needs redesign for the AI era

2. Moving from workshop-heavy RCA to AI-accelerated workflows

3. Using AI as an RCA co-facilitator

4. Demonstrating the application: evidence, timelines and cause trees

5. Identifying missing evidence against emerging cause pathways

6. Ensuring human ownership, governance and SME challenge