Designing Decision Systems Under Uncertainty
Operating inside ambiguous environments to surface decision boundaries, align stakeholders, and make complex systems actionable.
Case Studies
Evidence in practice. Selected projects illustrating decision governance, human-centered AI, and the design of complex systems.
Designing Human-in-the-Loop Control for AI Automation
Restructuring AI-driven automation at Automation Anywhere to improve trust, control, and decision clarity in high-stakes workflows.
Designing 0→1 Systems Inside a Legacy Enterprise
Leading internal incubation at CA Technologies to de-risk emerging technologies and build new product pathways beyond legacy enterprise constraints.
Designing Decision Clarity in Distributed Data Systems
Restructuring data workflows at Dremio to reduce ambiguity, improve trust, and accelerate decision-making across enterprise environments.
Designing Systems Before They Were Called Systems
Early lessons from Friendster, Autodesk, and Evernote on how systems can appear to function while failing beneath the surface—and how those patterns shape system design today.
HARMONIC: Designing Trust Under Uncertainty
An applied framework for translating probabilistic AI outputs into structured signals that support human judgment, escalation, and trust.
Designing Access in Civic Decision Systems
Examining how large-scale voting systems establish access, trust, and defensibility through language, staffing, and observable design.
Designing Decision Governance in Regulated AI Systems
Enabling safe, testable AI adoption at Wells Fargo by designing decision frameworks that balance innovation with risk, compliance, and accountability.