Traditional process mining often sees the system of record.
ERP, CRM, and ticketing logs are valuable, but they miss the local workarounds, browser steps, desktop tools, and manual transitions that shape a user's day.
MARFIInsight AI
RPA and enterprise process mining often start from system logs or automation targets. MARFI starts from the machine where work happens, capturing app, website, action, system, and optional visual context.
Compare MARFI workflow mining with RPA process mining and desktop process discovery.
ERP, CRM, and ticketing logs are valuable, but they miss the local workarounds, browser steps, desktop tools, and manual transitions that shape a user's day.
Because the sensor runs on enrolled machines, MARFI can reveal work paths across apps and sites, not just events already instrumented in enterprise systems.
When a recurring workflow is worth automating or modeling, Trajectory can convert eligible sessions into state-action-state examples for training and evaluation.
These pages are written to be useful to humans first, while giving search and AI systems clear, citable product facts.
No. MARFI is telemetry, analytics, workflow mining, and AI training-data infrastructure. It can help identify automation candidates.
Yes. MARFI observes enrolled machines, so it can see cross-app and browser-based work patterns when allowed by consent tiers.