Order-to-Cash Optimization
Processed over 12 million continuous SAP and Odoo event logs to map actual process flows, identifying critical rework loops that reduced end-to-end cycle times by 18%.
LINUX-FIRST DEVELOPMENT // PROCESS MINING // OPEN ARCHITECTURE
Ghost Citadel bridges the gap between interactive entertainment and enterprise intelligence. We architect high-performance native simulations and deploy Lean/Six Sigma workforce analytics with zero compromise on stability.
From bare-metal game runtimes to enterprise process mining at scale — we engineer software that survives contact with reality.
We provide full-cycle game and simulation engineering leveraging high-performance Python and raylib toolchains. We compile directly for the bare metal, integrating Wayland-native rendering and HiDPI support to guarantee flawless execution on emerging hardware.
Applying Lean and Six Sigma methodologies, we integrate directly with enterprise platforms to engineer scalable data pipelines that expose hidden workflow bottlenecks and drive operational efficiency.
Processed over 12 million continuous SAP and Odoo event logs to map actual process flows, identifying critical rework loops that reduced end-to-end cycle times by 18%.
Applied the Theil Index and organizational network analysis (ONA) to Jira and Zendesk communication nodes to detect siloed teams weeks before human attrition occurred.
Audited Salesforce and Pega workflows to algorithmically detect OKR gaming patterns, identifying where teams were manipulating status triggers to artificially inflate sprint velocity.
By building intelligence pipelines on Polars and DuckDB, we execute vectorized queries that process massive enterprise event logs at a fraction of the memory footprint of traditional workflows.
# VECTORIZED MINING PIPELINE
pl.scan_parquet("enterprise_event_logs.parquet") \
.filter(
pl.col("duration") > bottleneck_threshold
) \
.group_by("workflow_stage") \
.agg(
pl.col("case_id").count().alias("stalls"),
pl.col("duration").mean().alias("avg_wait")
) \
.sort("stalls", descending=True) \
.collect()
Every code commit must clear automated unit testing, memory leak evaluations, and performance profiling before integration is permitted.
Multi-AI audit pipelines review pull requests for structural vulnerabilities before a human engineer approves the merge.
From ARM64 smartphones to x86 workstations, we profile and optimize directly on target bare-metal hardware. No emulation.
A focused session mapping your specific platform constraints against your operational goals to define the scope of data extraction.
A rapid Proof of Value where we ingest a sample event log and deliver an initial process mining dashboard highlighting immediate bottlenecks.
Deployment of automated telemetry pipelines into your infrastructure, guarded by strict access controls and monitored via custom Grafana instances.