Before we speak

Start with the constraint.

Clear answers about project fit, the introductory consultation, and how technical evidence is handled before either of us commits to a larger engagement.

Frequently asked questions

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.

What should I send first?

Write one concrete answer: “What is the biggest pain point currently slowing your product development?” A short description is enough. If the problem looks plausible, I will suggest an introductory consultation through Cal.com.

Write about a project worth discussing.

Still a useful question?

Describe the product-development constraint.

Contact Riccardo