Enterprise Platform

Quoting a large customer means coordinating everyone who prices a different part of the offer — sometimes 30+ specialists across the world. It used to happen in Excel, email, phone calls and Teams meetings. A single quote could take up to six months to reach the customer. By then, we had often already lost the business.

I drive end-to-end design across the suite, from research and strategy to production. At the centre sits an orchestrator: it runs the configure-price-quote flow and delegates each task — service selection, pricing, negotiation, legal, signing, reporting — to the right people based on the customer's profile and requirements. The coordination that used to live in inboxes now lives in one system, with a relentless focus on reducing complexity and improving task completion.

Customers send their requirements as their own Excel sheets — often 10,000+ rows and 50+ columns, every one formatted differently. The team I work with built an AI solution that reads those sheets and converts them into our structured format, ready to quote — removing one of the slowest, most error-prone steps in the whole process. It went on to win Gold at the Danish Digital Award.

Credit where it's due: that win was largely an engineering achievement — the genuinely hard technical problem belonged to the team. I contributed on the design and UX side, but the breakthrough was theirs.

UX usually receives business requirements after the strategy is already set. On Short Term Contracts, it was different. My manager brought me in at the identification stage — partnering directly with business to research whether short-term contracts belonged on the same platform.

The answer was a clear yes, and it became the organisation's number-one priority for 200+ people. The result is an even more automated path to a quote — faster, with less human intervention. It has just launched, and the early signs are strong.