Venture ideas arrive by the hundred. Decisions need evidence.

I am Ramona Furter, applying for Innovation and Venture Designer at SC Ventures in Dubai. I have spent ten years taking ventures from zero to one, and I prototype the way your ad asks: with Claude Code. This page is my application, built that way, about your world: one venture hypothesis, one working prototype, one seed verdict.

Ramona Furter

10+ yearszero-to-one venture and product work

2 roundsraised in the WePractice founding team

1000+client matches in WePractice's first year

One venture hypothesis, five days, a seed verdict.

SC Ventures reviewed 300 venture ideas in one year, and funding decisions sit with a small committee of operating partners. Your ad names the bottleneck between those two facts: ideas need to become "evidence for or against", decision-ready and investment-grade, faster. So here is that job done in miniature: a hypothesis from your world, the prototype I would test it with, and the memo I would put in front of the committee.

Worked example. The hypothesis, the pre-check rules and the figures are illustrative. The precedents are real: appro, born in Dubai, cut a multi-hour bank application to about 3 minutes; Project Hal names fragmented data and thin credit files as the GCC SME problem; Solv is relaunching for the GCC from the UAE.

The hypothesis. GCC SMEs walk away from supplier credit because the application takes days they do not have. If appro's 3-minute move works upstream, an SME could know in one sitting whether financing an invoice is even worth pursuing.

The prototype: a 3-minute trade-credit pre-check

Day-three artifact of the sprint, built with Claude Code. Try it; it computes.

Evidence for
appro already collapsed a multi-hour application into minutes in this market, so both the friction and the fix are proven. Project Hal exists because SME credit files are thin, and Solv's GCC relaunch would give the pre-check a distribution channel on day one.
Evidence against
The portfolio may already own this. Hal's roadmap and Solv's platform both border it, lending brings regulatory weight a pre-check alone does not carry, and nobody has proven SMEs will trust a verdict this fast.
Seed verdict
Fund a six-week validation, not a venture. Kill criteria set upfront: if fewer than a third of tested SMEs act on the pre-check, or if Hal's roadmap covers it, stop and hand the evidence to Hal. A committee that sees the kill criteria before the money moves can decide in one sitting.

This page, the prototype on it and the research behind it were built by me with Claude Code, the tool your ad names, inside a week alongside my day job.

Why I fit this role

01

Zero to one is the career, not a phase

You need venture concepts shaped, validated and carried to seed decisions.

Receipt: market pilots from MVP to launch at Die Mobiliar (Smide, XpertCheck, Lizzy), validation to scale-up across internal startups at Sparrow Ventures, and the WePractice founding team through two funding rounds to 10 locations.

02

Claude Code is my daily prototyping tool

Your ad asks for prototyping with Claude Code or Cursor, and for judging AI outputs with clear intent and constraints.

Receipt: Pedal Peak, my live cycling platform, is built and operated end to end with Claude Code and agent automations. This application is the same method pointed at your world.

03

Commercial judgment with numbers attached

Venture designs must survive the Investment Committee, not just the design review.

Receipt: at Ifolor I owned a CHF 100M+ e-commerce business to C-level and lifted conversion 9 percent; at Swiss Post I make build-versus-buy calls on AI business cases; at Brixel I was the bridge to senior stakeholders at UBS and Baloise.

04

The honest read

Your ad asks for strong expertise in UX research, interaction design and visual design. I have never carried a designer title, and Figma is not my tool.

What I bring instead: design that ships and gets measured. Research and A/B driven product decisions at Ifolor, Design Thinking market experiments at Mobiliar, and live products people use, including this page. My prototyping is code-first, which is the other half of the sentence your ad wrote.

The career behind it

Since Jan 2026
AI Project Lead, Business Development, Swiss Post, Zurich. AI-driven business models: use-case sizing, business cases, delivery from concept to launch.
Aug to Dec 2025
In between jobs and own ventures. Cycling in Togo and Benin, then AI work: built smedium and its first client sites, grew Pedal Peak, went deep on LLM tooling.
Oct 2024 to Jul 2025
Senior Product Manager, Lead E-Commerce, Ifolor Group, Zurich. Owned the e-commerce ecosystem of a CHF 100M+ business, reporting to C-level: +9% conversion, +15% checkout step rate.
Jun 2023 to Sep 2024
Lead Project Manager, Brixel, Zurich. Owned partnerships with UBS and Baloise; the bridge between senior client stakeholders and the product team.
Mar 2020 to May 2023
Marketing & Growth Lead, Founding Team, WePractice, Sparrow Ventures / Migros Group. Two funding rounds closed; grew to 10 locations, 23 people, 170+ customers; 1000+ client matches in year one.
Sep 2019 to Sep 2022
Growth & Venture Builder, Sparrow Ventures, Zurich. Go-to-market for several internal ventures, from validation to scale-up.
Jan 2017 to Aug 2019
Intrapreneur, Innovation, Die Mobiliar, Bern. Market pilots from MVP to launch: Smide, XpertCheck, Lizzy. Design Thinking experiments, coached cross-functional teams, managed agencies.
2005 to 2016
Earlier career in product marketing and finance. Promena, Cruspi, Domaco, Kuoni and AMAG: brand portfolios, trade promotions, accounting discipline.

Download the CV as PDF

My first 90 days

Days 1 to 14

Learn the portfolio's bar

Sit with venture leads and the design team, read past committee decisions, pick the first hypothesis worth a sprint.

Days 15 to 45

Ship the first sprint

Prototype tested with real users, evidence gathered for and against, memo with a committed verdict in front of the committee.

Days 46 to 90

Make it repeatable

The sprint as a system: intent, constraints and evaluation criteria for AI-generated work, written so others can run it.