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    Process Intelligence

    Process Intelligence from Video

    Process mining reconstructs a process from the events a system happened to log. Most operational work never reaches a log — it happens on a factory floor, across a dozen applications, or in the gaps between systems. Video is the only record of that work, and process intelligence is what turns it into something you can measure.

    The work that leaves no event log

    A process-mining tool builds its picture from timestamps a system wrote down. That works well when a case moves through one platform and every transition is a database row. It breaks in three ordinary situations: work performed by hand at a bench or on a line, work split across applications that share no identifier, and the gaps between recorded events — the waiting, the re-checking, the switching back and forth — where a great deal of cycle time actually goes. In each case the log is silent and the recording is not.

    Where the two approaches apply

    SituationEvent log exists?Best suited
    Order-to-cash inside one ERPYes, completeProcess mining
    Assembly or inspection at a stationNoVideo process intelligence
    Quoting across ERP, spreadsheets and PDFsPartial, no shared case idVideo process intelligence
    Ticket lifecycle in a service deskYesProcess mining
    Time inside a step — why one case took longerRarelyVideo process intelligence

    What a study produces

    Each analysed session returns a timeline of labelled activities with a measured duration against every one, exportable as CSV. For screen-recorded work it also reports which applications the time went to and how long the operator held focus before switching. Where a documented method exists, the session can be compared against it and the points of divergence listed. Running the same process twice and comparing the two timelines is what turns a single observation into a baseline.

    Reading a bottleneck honestly

    The longest activity in a timeline is not automatically the constraint. A step can be long because it absorbs a delay created upstream, because it batches several cases at once, or because it is genuinely the slowest operation. Process intelligence narrows the question by showing exactly where duration accumulates and letting you replay the moment it happened; the diagnosis stays with the engineer. This is the same discipline as any time study — the measurement is objective, the interpretation is professional judgement.

    Where it sits next to a formal time study

    A predetermined motion time system such as MTM or MOST derives a standard time from a described method, before the work is observed. A stopwatch study measures a live operator and applies a performance rating. Video process intelligence sits between them: it measures actual elapsed durations across whole sessions without an observer present, and applies no performance rating, which makes it well suited to establishing a baseline and monitoring drift, and less suited to setting a normalised standard time on its own. See work measurement for how the techniques compare.

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    Frequently Asked Questions

    What is process intelligence from video?
    It is the practice of deriving a measured description of a process — its steps, their order, and how long each one takes — from a recording of the work being done, rather than from a system event log. The output is an activity breakdown with a duration against every step, which can be compared against the documented method or against another run of the same process.
    How is this different from process mining?
    Process mining reads event logs from ERP, CRM or workflow systems, so it can only describe work those systems recorded. It is strong where a process is already digital and end-to-end inside one platform. Video-based process intelligence covers the opposite case: manual work, physical steps, and work spread across applications that never write a shared log. The two are complementary — process mining for the system trail, video for the work itself.
    What does the analysis actually return?
    A timed activity breakdown of the session, cycle-time and work-output measures, application usage and focus time for screen-recorded work, and adherence findings where a documented method exists to compare against. Timelines export as CSV so the data can go into your own analysis.
    Does it decide what is wasteful?
    No. It measures durations and surfaces where time concentrates, including steps that repeat or stall. Whether a step is waste, a necessary control, or a symptom of something upstream is a judgement for the engineer reading the study — the platform supplies the measurement, not the verdict.
    What kind of recordings work?
    Screen recordings of desk and system work, and camera recordings of physical work at a station or bench. The practical requirement is that the work is visible for the duration you want measured; there is no requirement to instrument the systems involved.