Hazardous plants manage changes across fragmented systems, drawings, documents, procedures and records. This limits visibility across active changes, makes complete evidence difficult to gather and allows plant knowledge to leave with experienced employees. It also raises the risk that the correct MOC review is not triggered or affected documents remain inconsistent with the approved plant change, adding pressure to teams already working under production constraints.
There is no need for a rip-and-replace programme. Failsafe’s AI agents coordinate information between connected systems, while engineers remain responsible for reviewing and approving every decision and action.
And many more
Users can ask about an asset, document, historical change or active change status and receive cited answers from connected sources. Failsafe retrieves information that once required searching multiple systems, preserves important plant knowledge when experienced employees leave and gives teams clearer visibility across plant changes.
Failsafe assesses equipment, process, procedure, organisational and decommissioning changes against customer procedures and standards, applicable industry codes and recognised safety practices. It shows the evidence, reasoning and rules behind each MOC or replacement-in-kind recommendation.
Failsafe routes approvals sequentially to accountable reviewers, with relevant evidence travelling with each request. Read acknowledgement can be required before approval; a rejection stops the route, and the accountable person retains the final decision.
Failsafe identifies the complete affected document pack and prepares coordinated updates across P&IDs, BOMs, procedures, equipment records and related controlled documents. It keeps related proposed revisions consistent, incorporates approved redlines into current P&IDs, and issues the updates when an authorised person approves.
The record includes the request and source evidence, classification and reasoning, reviewers and approvals, resulting document updates, and the person, date and time associated with each action. It supports internal reviews, regulatory scrutiny and incident learning.
