What kind of problem is a good fit?
A concrete scaling constraint in a complex technical product or engineering
operation: architecture that no longer supports the next product step, missing
qualification evidence, simulation or laboratory work that depends on one expert,
or a development process that makes important decisions hard to review.
Selected work shows the kinds of evidence I build around.
What happens in the introductory consultation?
It is a 30-minute fit conversation, not free technical diagnosis or solution
design. We clarify the constraint, its consequence, and whether a Technical
scale-up assessment is a sensible next step. I will say plainly if the problem
is outside my useful range.
What is a Technical scale-up assessment?
It is a bounded diagnostic engagement for a problem that has passed the fit
conversation. The expected outputs are a concise diagnosis, a prioritised
90-day roadmap, and a leadership decision/readout. Scope and commercial terms
are proposed privately after fit is established.
How does AI and data transformation fit the work?
It is a focused part of technical scale-up: analytics, workflow automation, and
decision support for engineering operations. The starting point is an engineering
bottleneck and a measurable improvement, not a technology mandate.
Read the note on bounded AI decisions.
How do you handle confidential evidence?
Public work uses approved open-source evidence or a sanitized case study. The
sanitized record contains no identifying employer, client, product, figure,
screenshot, internal tooling, intellectual property, or outbound link. Private
engagement material remains private unless explicit publication approval exists.
Review the public evidence ledger.
Where do you work?
I am based in Switzerland and can begin remotely with technical leaders and
engineering teams. Any on-site work is agreed when the problem and engagement
need it.