PeakAvenue AI – the AI layer for quality and risk management

FMEA (failure mode and effects analysis), fault tree and inspection plan often sit in separate systems. To find a contradiction between them, you have to compare the analyses line by line.

A software update in the field changes how your product behaves, but its risk analysis is two years old. Often, nobody notices that the analysis is no longer valid until the day something happens.

In many companies, only a few experienced experts know what really matters in an analysis. Many of them will retire within the next ten years.

You ask PeakAvenue AI a question and get answers from FMEA, fault tree and inspection planning at the same time. This way, separate systems become one full picture.

You get a notification as soon as a change affects one of your analyses. This way, you detect a silent loss of validity before something happens.

You assess the deviations PeakAvenue AI finds when it cross-checks your analyses. This way, you apply your expertise where it counts and save the days a manual comparison takes.

You capture the knowledge of experienced experts in connected analyses. This way, knowledge moves from a few heads to your entire organization.

You keep working with the method you have chosen. This way, everything new builds on the work you have already done.

You use each method in full depth and see the connections between them at the same time. This way, you get both: specialist knowledge and an overview.

You make every technical decision yourself, and PeakAvenue AI provides suggestions for it. This way, responsibility for your analyses stays with your experts.

You can trace every step PeakAvenue AI takes in a log. This way, you can show auditors how a suggestion came about.

You define who may see which analyses, and PeakAvenue AI shows each person only that content. This way, confidential data stays within the teams it is meant for.