Automation & Continuous Improvement
I find where a production process is losing time, quality, or money — then build the exact tool that fixes it. Calibrated on your real data, not a wrapper bolted onto someone else's model.
Most "automation consulting" right now is a subscription to someone else's model with a logo on top. This is the opposite: I diagnose your process first, then build — or don't, if a tool isn't actually the answer.
Not this
A chatbot bolted onto your workflow
This
A working tool, embedded where your team already operates
Not this
A template built for a hundred other companies
This
Diagnosed and built for one process: yours
Not this
A subscription you renew and hope keeps working
This
A quality gate that either passes or it doesn't — every time
Structured root-cause analysis, not guesswork. Fixed scope, fixed fee, a clear answer either way.
Software, automation, or workflow redesign — whatever the diagnosis actually calls for, built for your process specifically.
Deployed where your team already works, measured against a real baseline — not a promise.
A sample of problems diagnosed and solved. Details generalised where they'd otherwise identify a client.
No structured way to trace quality issues to their source — recurring problems kept resurfacing.
Structured DMAIC project: root-caused across process and communication behaviour, ran targeted interventions.
Significant, sustained improvement in traceability compliance — verified with real data.
Design files reached the floor with no automated check — errors caught only after material and time were spent.
Built a digital QA system validating files before they reach a machine, catching structural and sizing issues automatically.
Physical test-cutting eliminated for validated files; defects caught at the design stage.
Auditing files across a multi-machine fleet was manual, slow, and at scale, impractical to run at all.
Automated distribution on a fixed schedule with a full, timestamped audit trail — zero manual steps.
A process that was previously impractical to run now takes about half an hour, fully traceable.
Time estimates relied on manual test-runs and rough averages — slow, and didn't scale.
Built a predictive model calibrated on real historical production data, capturing the factors that actually drive time.
Faster, more consistent estimates feeding directly into planning and scheduling.
I'm a production manager and self-taught engineer with 8+ years in high-volume manufacturing. I split my time between running daily operations and building the tools that make them better — quality gates, predictive models, fleet automation, workflow redesign.
Everything on this page was diagnosed, built, and deployed by one person, tested against real production data — not a slide deck. No team of consultants between you and the person who actually understands your process.
A free 30-minute call. No pitch deck, no sales team — just a conversation about what's actually slowing you down.
Book a free call