Glossary

Process intelligence

Process intelligence is insight into how a company's processes really run and perform, built from process mining, task mining, process models and business context. It aims to show not only what happens in a process, but where it deviates, why, and what an improvement would change.

What is process intelligence?

The term is used broadly. At its core it combines three kinds of input: data about what happened, models of how the process is meant to run, and context about the business — its rules, exceptions and priorities. The first two show the gaps; the third explains them.

Without that context, analysis tends to find symptoms: a long wait, a frequent loop, a deviating team.

Not to be confused with operational intelligence, which monitors operations in real time, or business intelligence, which reports on results rather than on how processes produce them.

Why it matters for SMEs

For example: an analysis shows that quality holds on one product line take far longer to clear than on the others. The data suggests a capacity problem. The context — only one engineer may approve deviations for that customer — shows the real cause.

For SMEs, the same insight is available at a smaller scale: a map of the process, a few trusted measures, and the captured reasons behind the exceptions.

Process intelligence in the MentX approach

MentX captures how your company really works: the knowledge of your key people and the processes they run. We offer both a hands-on service approach — mapping your processes and capturing the knowledge behind them, from meetings, workshops and a guided intake — and our own personality-aware knowledge base, with full source attribution, in your own Knowledge Space. We build on the tools you already use and add best-practice solutions where they fit.

Much of the business context that process intelligence needs lives with people. Capturing it, with sources, is what capture your operations does. See also why AI needs your business context.