Industrial AI practice  ·  Gulf  ·  Arabic and English Reply within one working day
Process mining / operational analytics

Finding where a process actually stalls

multi-sector enterprise · Gulf

← All documented proof

The shape of this problem

Too much arrives to check it all, so you sample

Built and run by this practice in its own environment.

The problem

Operations teams needed an evidence-based view of how processes actually moved through their systems - where cases stalled, and which variations drove delay or rework. Every organisation has a documented process, and it is reliably not the one being executed. Improvement effort therefore gets spent optimising the ideal path while the high-volume variant that carries the real cost stays invisible, because nobody has assembled the event data that would show it.

What we built

We built ingestion and preparation for case, activity, and timestamp data, discovered the actual process variants, compared them against the target flows, calculated cycle and waiting times, and highlighted rework and nonconforming paths.

What moved

Measure Before After
Cycle time in the targeted processes down 30%
Bottleneck-resolution speed up 20%
Manual process-analysis effort down 65%

† Measured against the prior level of the same measure.

Cycle time in the targeted processes

Prior level 0 100 200 down 30%

Measured against the client's own prior process, indexed to 100. The source publishes the size of the movement, not the absolute figure it moved from.

Bottleneck-resolution speed

Prior level 0 100 200 up 20%

Measured against the client's own prior process, indexed to 100. The source publishes the size of the movement, not the absolute figure it moved from.

Manual process-analysis effort

Prior level 0 100 200 down 65%

Measured against the client's own prior process, indexed to 100. The source publishes the size of the movement, not the absolute figure it moved from.

Figures are from the practice's own delivery records for the engagement named, measured against the process that preceded it.

What it turned on

The result depended on validating the log before trusting the map - batch timestamps, broken identifiers, and incomplete cases were corrected or disclosed, so an apparent bottleneck that was only an artifact of how a system records events never attracted investment. Relevant wherever process improvement is being planned against a diagram rather than evidence.

Start here

Which of the four is yours?

Tell us the documents and the monthly volume and we will send the two closest records, with the figures behind each and what it would take to repeat them on your material.

You get a reply within one working day, from the engineer who would do the work.