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Process Evidence Workspace

Object-centric process evidence generated from a real OCEL 2.0 dataset. Algorithms calculate, the consultant interprets. The Pulse remains free and separate from this workspace.

Section A — Data Status

Loaded dataset

Container Logistics Dataset — OCEL 2.0

Section B — Object Discovery

Business objects in this dataset

Objects are the business entities the process moves around. PES analyses the same event log from each object perspective, so the consultant can see, for example, how the process looks when viewed through Containers versus Customer Orders.

Section C — Object Lens

Choose an object lens

The same events look very different depending on which object you read them through. Pick the lens that matches the consulting question you are trying to answer.

Section D — Process Analysis

Process analysis

Section E — AI Suitability

Activity automation potential

Each activity in the selected lens classified using deterministic rules. Automate, AI-Augment or Human-Led — the consultant decides what to recommend.

Automate
AI-Augment
Human-Led

Section F — Consultant Insights

Deterministic narrative

Generated directly from the computed statistics. No LLM, no opinion. The future interpretation layer will draft commentary from the Evidence Summary below; for now, the numbers speak for themselves.

Section G — Evidence Summary

Structured analysis output

This is the deterministic JSON contract that the future LLM interpretation layer will consume. It is shown here for transparency and so consultants can audit exactly what the algorithms produced.