CauseIQ is incident investigation and root-cause analysis software. It structures the investigation — evidence, timeline, causal factors, fault tree, barrier analysis — and links every finding back to the PHA safeguards and PSM elements it affects, so lessons actually change the system.
An investigation that ends at 'operator error' or 'valve failed' has not found a cause. CauseIQ drives the analysis to management-system causes using recognised techniques and keeps the evidence trail an auditor or regulator will ask for.
Because it shares the safeguard library with CeraPHA Studio, a failed barrier in an incident is the same object as the safeguard credited in the HAZOP — the PHA can be revalidated on the spot.
Tier 1–4 classification per API RP 754, near-miss capture and reporting metrics.
Documents, photos, historian snapshots and witness statements on a sequence-of-events timeline.
Fault tree, 5-Whys, causal-factor charting and barrier (bow-tie) analysis in one workspace.
Management-system cause codes aligned to PSM / RBPS elements.
Failed barriers mapped to PHA safeguards; triggers revalidation actions in CeraPHA Studio.
Actions with hierarchy-of-controls rating, owners and closure; lessons-learned bulletins.
Log the event; classify tier and secure evidence.
Build the timeline from documents, historian data and interviews.
Fault tree, barrier and 5-Whys analysis to management-system causes.
Recommendations, PHA revalidation and lessons learned issued and tracked.
CCPS Guidelines for Investigating Process Safety IncidentsInvestigation methodologyAPI RP 754Process safety performance indicators — event tiersOSHA 29 CFR 1910.119(m)Incident investigation requirementsCCPS Risk Based Process SafetyIncident investigation elementISO 45001Incident, nonconformity and corrective actionEnergy Institute / IOGP guidanceLearning from incidentsSend a short brief — plant, service of interest and what you need to achieve — and a Cerasus engineer will respond with a proposed scope and next steps.
Prefer email or phone? sales@cerasus.ai · +974 5506 2743