Sinpex GmbH
Fintech, Anti-Money Laundering, B2B, Desktop
Sinpex GmbH is a Munich-based company specializing in artificial intelligence-driven compliance solutions, particularly focusing on Know Your Customer (KYC) processes for financial institutions and businesses.
My job was to work on the user experience and interface for their compliance automation platform, creating intuitive workflows and visuals to streamline complex regulatory processes.
Ownership Puzzle
Simplifying the complexity—making it easier to see who owns what, clearly and confidently.
About the end-user
Compliance analysts had to be able to quickly trace beneficial ownership and validate disclosures, without confusion or missing edge cases. That meant prioritizing a clear drilldown flow and strong visual hierarchy from the start.
Wireframing for complexity
We wireframed for specific case types because the ownership data involved layered structures, varied entity types, and embedded documents. These helped test how best to structure the information before moving into visuals.
Visual design
Once the hierarchy and flow were solid, the focus was on a clean, usable interface. Visual anchors like ownership percentages, entity icons, and risk markers were created to help users scan, understand, and trust what they see.
Rules of Risk
Sketching the blueprint for AML Risk Assessment—turning tangled logic into structured, traceable paths for confident decision-making.
Break down risk tracking into clear steps
I started by identifying the core stages of the AML scoring process: mapping inputs (e.g., country codes, industries), configuring risk categories and weights, and calculating overall case-level risk. Wireframes helped clarify this structure before introducing UI complexity.
Mirror analysts’ workflows
The logic was designed to reflect how compliance teams think—grouping related risk factors, allowing weight adjustments, and supporting drilldowns. This ensured the tool would feel intuitive and reduce training needs or usage errors.
Plan for auditability and edge cases
The wireframes emphasize traceability. I included features like threshold settings, nested factor groups (e.g., transaction-based vs. geography-based risks), and controls for aggregation logic—all before visual styling. This made it easier to validate logic with stakeholders and compliance leads early on.
