Selected engagements
Earlier work, rewritten in the language of systems, workflow, and capability.
These case studies show how AI becomes useful when it is embedded inside real decision-making, real standards, and real teams rather than treated as a disconnected tool experiment.
Fashion Media
AI Imaging Workflow for Editorial Teams
A fashion media team needed faster visual turnaround without letting editorial quality drift. We designed an imaging workflow built around internal visual standards, structured review, and repeatable generation logic.
From studio bottlenecks to same-day concept output with stronger visual consistency.
Fashion Media
Trend Intelligence and Editorial Workflow Redesign
Trend discovery was distributed across editors, platforms, and instinct. We rebuilt the workflow around signal tracking, topic structure, and style-aware drafting support so speed improved without flattening the voice of the publication.
A more responsive editorial process with higher throughput and better signal discipline.
Fashion Production
Quotation Intelligence and Margin Control
A fashion production company was pricing work through fragmented spreadsheets and experience-led judgment. We introduced a more structured quotation system with historical reference, pricing logic, and commercial review.
More disciplined pricing decisions and clearer margin visibility across delivery teams.
Content Team
Script Workflow and Trend-to-Production System
A content team needed a more repeatable way to move from trend signals to production-ready scripts. We designed a workflow that combined signal capture, reference structuring, draft generation, and review checkpoints.
Higher script output without reducing the process to generic AI writing.