Enterprise AI · UX Infrastructure · Trust Systems
Make AI systems measurable, auditable, and safe to operate.
Enterprise AI trust, governance, and evaluation UX — built by an ex-AWS IAM + Oracle Cloud UX infrastructure leader.
UX infrastructure at platform scale — Oracle Cloud: 100+ teams, 150+ products
Security & policy tooling — AWS IAM
Cloud financial governance — AWS Billing, Cost Explorer, & Organizations
What We See
The problems that keep showing up.
AI outputs aren't auditable enough for compliance or risk review.
No clear human override or escalation path when automation fails.
Teams can't measure model behavior reliably in production.
Policy and permissions UX is brittle, inconsistent, or dangerous.
Platform UI lacks governance — fragmented components, telemetry gaps, slow delivery.
Services
Engagements built to reduce risk.
AI Trust & Evaluation Diagnostic
Best for: Teams shipping AI into regulated or high-stakes environments
Deliverables
- Risk map
- Evaluation plan
- Control surface inventory
- Measurement strategy
- Prioritized roadmap
A clear, auditable path from prototype to production trust.
2–4 weeks
Governed Agent Workflow Design
Best for: Teams building agentic systems that need human oversight
Deliverables
- Human-in-the-loop flows
- Escalation / rollback patterns
- Policy editor UX
- Transparency surfaces
Agents that fail gracefully and remain auditable.
3–6 weeks
Platform UX Infrastructure Sprint
Best for: Orgs with fragmented component libraries or platform UI governance gaps
Deliverables
- Component strategy
- Token governance
- Telemetry plan
- Rollout / adoption model
Consistent, measurable UI delivery across distributed teams.
2–4 weeks
How I Work
Small diffs. Measurable outcomes.
01
Diagnose
Audit current surfaces, map risk, identify measurement gaps. Deliver a prioritized roadmap, not a slide deck.
02
Design
Design control surfaces, evaluation UX, and override patterns. Every decision logged and reviewable.
03
Implement
Ship working prototypes in production context. Validate with real users, real data, real constraints.
04
Operationalize
Establish governance, telemetry, and handoff. The system works after I leave.
Proof
Where this work comes from.
Console Development Platform
Oracle Cloud — UX infrastructure enabling 100+ teams and 150+ JS products
Platform-scale design consistency and delivery velocity
Identity & Access Management
AWS IAM — policy tooling and identity UX
Usable security at enterprise scale
Cloud Financial Governance
AWS Billing / Cost Management — Insights, Budgets, Organizations, Apptio context
Measurable cloud cost governance
Enterprise Collaboration Suite
AWS WorkMail / WorkDocs — admin and end-user UX
Coherent enterprise collaboration tooling
Voice & Calendar Interaction
Alexa for Business — group, time, and calendar management
Enterprise voice interface patterns
Infrastructure Engineering
Istari Digital — infrastructure deployments, Lockheed Martin Skunk Works partnership
Production infrastructure at defense-grade standards
Point of View
Design philosophy.
Designing AI Systems That Survive Audit
What evaluation UX looks like when compliance isn't optional.
Coming soonHuman Override Patterns for Agentic Workflows
Escalation, rollback, and transparency for systems that act autonomously.
Coming soonEvaluation UX: Traces, Scorecards, and Policy Controls
The interface layer between model behavior and organizational trust.
Coming soonAbout
I design systems that make intelligent technology understandable, measurable, and safe to operate.
Twenty years of enterprise platform work — from cloud console infrastructure (Oracle) to identity and access management (AWS IAM) to financial governance tooling (AWS Billing). I've led both design and engineering organizations.
I take a limited number of engagements at a time. Every project is principal-led.
Let's talk.
I take a limited number of engagements at a time. If you're building AI into enterprise software, book a call.
Book a call