I close the gap between design intent and shipped code.

Human2ai turns natural-language requests, photographs, PDFs and spreadsheets into structured product data, storefront changes, print-ready labels, product imagery and scheduled campaign assets while keeping consequential changes reviewable. I own the interaction model, shared component architecture, brand tokens, implementation patterns and release decisions across the product.

Klara is a volunteer-built AI assistant for OMAS GEGEN RECHTS Hürth. It takes a slogan, quotation or political claim, recognizes the concern behind it, checks the factual basis and separates fact, analysis and conclusion. Three modes support responding to slogans, explaining political statements and creating teaching materials. A ten-level clarity scale adapts the same question from kindergarten through research level, while source transparency, explicit uncertainty and an empowering-not-preaching stance protect user judgment.

Matti tested how a LiveAvatar / HeyGen video agent, paired with ElevenLabs voice and conversational AI, could feel approachable while remaining bounded. The kiosk adapted language and complexity by class level, cleared private state between sessions and connected high-risk conversations to explicit, school-controlled adult handoff paths. A protected teacher UI helps staff respond appropriately to bullying and conflict by guiding the first response, documentation, escalation route and relevant school channels; it supports staff judgment rather than automating discipline.

The core problem was organizational isolation: researchers could not see what other teams had already learned, so knowledge stayed buried and work was repeated. I designed the information architecture, shared taxonomy, metadata model, normalization rules, search and preview experience, tagging, subscriptions, governance and automation that connected those silos. This structure prepared twelve years of research for retrieval-augmented generation as well as human discovery, turning fragmented research into reusable enterprise evidence inside a regulated bank.

I built the workshop framework, implementation playbook, taxonomy and project hub, led more than 20 accessibility user interviews, then trained delivery leads to use the system. Research on phone anxiety also informed more inclusive, chat-first service pathways.

Domestic wire origination had to reconcile complex compliance, branch and system requirements while replacing a legacy blue-screen workflow with a modern, comprehensible employee experience. After validating the Axure prototype, I led the design transition while a UI designer created the high-fidelity Figma work. I also facilitated a micro-frontend workshop with developers to define reusable components, patterns and variants. Digital auditing capabilities and a digital-signature flow replaced printing and manual filing with a traceable record, eliminating approximately 1.56 million printed pages annually across 1,158 branches.

The North Star system map showed how data lakes, benefits platforms, IBM Curam, SADA and predictive tools could support a single citizen touchpoint. It gave service and technical teams a shared architecture for centralized data, proactive eligibility notifications and iterative modernization.

I personally conducted all 64 moderated user-testing sessions across the flyer-status archetypes, interviewing each participant after the test, and designed the operational system around them: a searchable participant panel, repeatable recruitment, Mailchimp communications, Doodle scheduling, Axure prototypes, Webex sessions, recordings, early AI transcription through Otter.ai and searchable synthesis. The pipeline made continuous evidence gathering practical while shaping onboarding, points redemption, family pooling and seat-selection flows.

I reviewed the experience against established usability principles and accessibility expectations, documented recurring patterns and assigned severity so teams could distinguish critical barriers from lower-risk refinements. The result was a clear, evidence-backed recommendation set for improving findability, comprehension and task completion.

The prototype reimagined a form-heavy booking flow as a guided dialogue. It demonstrated how an AI assistant could gather trip requirements, maintain context, present options and support visual seat selection without losing the clarity and control customers expect from a transactional travel experience.

I created the functional Axure prototype, tested it with police staff and iterated the workflow around real field needs. The map-first design triangulated context from separate systems without forcing officers to move between disconnected tools. I then led the developer who translated the validated prototype into the working application.

The work reconciled policy, operational reality and the cognitive load experienced by vulnerable applicants. Adaptive flows, plain language and iterative testing helped make a fragmented service more understandable and inclusive.

The workshops connected cultural, maritime and educational assets into an actionable service strategy. I synthesized the sessions into a blueprint and roadmap spanning infrastructure, service innovation and partnerships for sustainable tourism growth.

Government, healthcare and community participants mapped systemic barriers and co-created improvement opportunities. I translated the work into detailed service pathways and a prioritized roadmap for more accessible, trusted vaccination outreach.

Co-creation workshops explored how AI, beacon technology and predictive analytics could deepen visitor engagement. I structured the ambition into an actionable path from immediate improvements to a personalized future-state experience.

Ethnographic observation exposed where speed, confirmation and confidence broke down. I translated those findings into user flows, wireframes and an interactive experience that balanced security with a low-friction transaction.