Stop Missing Dates. Stop Managing by Gut Feeling.
I transform messy Jira traces into mathematically sound release forecasts and systemic team telemetry. No corporate coaching. No individual tracking. 100% data sovereignty.Ksawery Skowron
20+ Years in Complex Engineering (KBC, UBS, William Hill)
Creator of OrgAI Engine
The Problems I Solve
Most tech organizations suffer from "Efficiency Theater": green dashboards masking burnt-out teams, missed deadlines, and chaotic workflows.
Fuzzy Release Dates? Replaced with probabilistic confidence ranges (Monte Carlo).
Messy Jira Data? Filtered through automated data-hygiene and anomaly detection.
Team Friction & Burnout? Diagnosed at the process level before key engineers leave.
Technology I Use: OrgAI
I don't just give advice. I bring my own production-ready Engineering Intelligence platform.
Zero-Egress Security: Runs 100% on your internal infrastructure (Podman). Data never leaves your network.
Aggregate-Only Telemetry: Measures team flow and systemic bottlenecks. Strictly zero individual surveillance.
Monte Carlo Engine: Generates realistic 50%, 85%, and 95% delivery confidence dates.
Automated Data Quality: Isolates administrative noise, batch cleanups, and fake transitions.
What Leaders Say
Using Ksawery’s metrics platform, we presented performance metrics to senior management instantly and effortlessly.- Principal Delivery Manager at Global Tech Enterprise
With Ksawery's Monte Carlo Forecaster, we accurately predicted the delivery date for a team with very little experience and seniority in the company.- Delivery Manager at Global Tech Company
I had a chance to work with Ksawery and with this tool in a real setup. It was consistently showing things that were simply not visible in Jira, even when on the surface everything looked “healthy” and we think we have well built dashboards.- Delivery Manager at Global Entertainment Company
How We Can Work Together
Diagnostic Engagements
One-time assessments. 4–6 weeks each.
Data Quality Audit — evaluates reliability criteria to expose system noise and compromised parameters. Delivers a co-created action plan targeting 40–60% of process flaws to enable data-backed decision-making.
Probabilistic Roadmap Assessment — Monte Carlo simulations giving 50%, 85%, and 95% confidence dates for high-stakes releases.
Team Health Scan — Map cognitive load and WIP pressure. Get "The Friction Map" plus 3 structural interventions.
Ongoing Advisory
Continuous intelligence. Monthly Retainer.
The Executive Brief — Monthly memorandum on Strategic Alignment, Process Anomalies, and Risk Forecasts. Delivered live in your strategic review session.
Interim & Fractional Advisory
Hands-on execution. B2B Contract.
Expert System Stabilizer — Hands-on DevEx, EngOps, and pipeline optimization.
Strict Constraint: Expert / Individual Contributor track only (no line/people management).
How It Works
Diagnose: Start with a 4–6 week targeted diagnostic engagement.
Execute: Implement fixes independently, transition to monthly advisory, or embed hands-on expertise via fractional engagement.
Scale: Re-engage for diagnostics as quarterly checkpoints.
Quick FAQ for Sceptics
How is this different from Jellyfish or Datadog?It’s an expert-led platform, not shelf-ware. It runs entirely inside your network, mirrors your exact org structure, and requires zero data egress.What if our Jira data is an utter mess?That is the baseline for almost every client. The first step is cleaning the signal from the noise.Do you track individual developer output?No. Individual tracking ruins culture and gamifies metrics. OrgAI strictly tracks team-level flow and systemic blockers.