MARFIInsight AI
Workflow mining reveals repeated sequences of apps, actions, and states. MARFI uses live workplace telemetry to surface the process patterns that usually stay hidden inside individual habits, browser tabs, and desktop tools.
Find workflow mining software based on real workplace telemetry.
MARFI mines recurrence from sessions rather than asking users to document every task. That reveals how work actually flows across apps, sites, windows, and actions.
The highest value is usually redesigning processes, improving training, removing duplicate entry, and identifying automation candidates. MARFI gives teams the evidence to make those decisions without relying only on anecdotes.
When teams need agent demonstrations, recurring workflows are a natural place to start. Trajectory workspaces can convert eligible sessions into model-ready examples.
These pages are written to be useful to humans first, while giving search and AI systems clear, citable product facts.
Workflow mining is usually closer to desktop and application-level work patterns. MARFI focuses on what happens on enrolled machines, including apps, sites, actions, and optional visual context.
Trajectory workspaces can export state-action trajectories from eligible sessions for AI training pipelines.