From SAP supply chain platforms to 0→1 products, I build the systems that make decisions reliable, accountable, and executable. Founder of SyncoPro.
SAP Business Network · SyncoPro · Three case studies across product, organization, and AI.
A structural model for how modern systems coordinate decisions.
From operational workflows → governance models → AI autonomy boundaries.
The three case studies below each map to one layer.
Three layers. One capability. Each case demonstrates the same underlying problem: how to make decisions reliable, accountable, and scalable in complex systems.
Designing decision infrastructure inside enterprise supply chain workflows. The deliverable was not a redesign — it was a system for making decisions visible, verifiable, and executable.
View case study →Defining how decisions operate at the organizational level. This work establishes the operating model: who decides, how decisions are made, and how accountability is enforced.
View case study →Structuring how AI participates in decision-making. From ambiguity to bounded systems — designing trust, authority, and control in AI-driven workflows.
View case study →Decision Engine · Evolution Engine · Language System — three components that work as one. From raw idea to structured, scored, multilingual, self-improving output.
Building systems from first principles, applying the same decision architecture across different platforms under real constraints. Not just products — but the structure that makes them work.
An AI governance platform applying decision architecture to product planning — structuring AI authority, escalation paths, and validation gates for product teams under organizational constraints.
View case study →A local service marketplace platform — designing the merchant decision layer, offer schema, and discovery mechanics that structure how businesses acquire customers and how consumers evaluate and book services.
View case study →A referral-based hiring platform — designing the trust mechanics and matching authority structures in a peer-to-peer professional referral system.
View case study →Enterprise systems, under real constraints. This is where decision architecture moves from concept to constraint — operating inside live SAP products, data systems, and organizational boundaries.
AI-generated response enhancement in a live enterprise product — trust calibration, transparency design, and feedback loop architecture.
Component architecture and governance standards enabling consistent decision-ready interfaces across enterprise product lines.
Instrumentation and reporting systems surfacing decision-relevant signals to operational and leadership stakeholders.
Early-stage AI governance concept work — prototyping autonomy boundaries and interface patterns for AI-assisted enterprise supply chain workflows.
Staff Product Designer specializing in AI systems and decision architecture. Focused on enterprise products, governance models, and system-level design.
Founder of SyncoPro, an AI governance platform that operationalizes product decision-making. Work spans three layers: product workflow systems, organizational governance, and AI autonomy design.
Based in the San Francisco Bay Area. Available for Staff / Principal roles in AI product design, enterprise systems architecture, and AI governance design.