Plugboard is an event driven modelling and orchestration framework in Python for simulating and driving complex processes with many interconnected stateful components.

Minimal, open-source end-to-end process mining pipeline using a real database, SQL/Python transformations, event-log export, and PM4Py process discovery.

Repository of the paper. This repo contains the benchmarking results of the Process Extraction from Text tools tested in the paper.

Profile README — process intelligence, data engineering, and AI-Ops experiments.

Setup an SAP Data Intelligence data pipeline to connect Qualtrics surveys data to SAP Signavio Process Intelligence via Ingestion API.

A modern Flet-based UI for PM4PY that enables process mining, discovery, conformance checking, filtering, and analysis of event logs without writing code.

Enterprise fraud detection using process intelligence, analytics, and risk stratification

A runtime evidence layer for AI agents in enterprise workflows.

Process intelligence for multi-agent development. Structured handoff protocols reduce redundant token spend by 30-50% by passing precise context between pipeline stages instead of agents re-discovering it from scratch.

Experimental Python tool for assessing raw data readiness for process mining and event-log generation