About

 
 

What I Do

Human-Centered AI Design

Making complex AI systems that operators actually want to use

I design AI interfaces that work under pressure. Not the kind of pressure you feel during a software demo, but the real pressure of mission-critical decisions where getting it wrong has consequences.

My approach starts with understanding the human context: Who's using this system? When? Under what conditions? What happens when they're stressed, distracted, or working with incomplete information?

What this looks like:

  • Designing AI decision support that enhances human judgment rather than replacing it

  • Creating interfaces that remain usable when operators are under pressure

  • Building transparency into AI systems so users understand what the system knows (and what it doesn't)

  • Establishing clear escalation paths when AI confidence drops or fails entirely

Government UX Strategy

Bridging the gap between cutting-edge AI and operational reality

Government AI isn't just commercial AI with security clearance. It operates under different constraints, serves different users, and failure means something entirely different.

I help organizations navigate the unique challenges of designing AI for government environments: security requirements, legacy system integration, diverse stakeholder needs, and mission-critical reliability standards.

What this looks like:

  • Translating complex AI capabilities into clear value propositions for different government audiences

  • Designing user experiences that work within existing security and compliance frameworks

  • Creating adoption strategies that account for government change management realities

  • Building consensus among technical teams, operators, and acquisition stakeholders

Service Design for Complex Systems

Seeing the whole picture, not just the interface

AI doesn't exist in isolation. It's part of larger workflows, organizational structures, and mission processes. Great AI UX requires understanding these systems holistically.

I use service design thinking to map the complete user journey: from data input through AI processing to human decision-making and action. This systems view reveals where AI adds value and where human oversight remains essential.

What this looks like:

  • Mapping end-to-end workflows to identify optimal AI integration points

  • Designing handoffs between automated and human-driven processes

  • Creating feedback loops that improve both AI performance and user experience over time

  • Ensuring AI systems work within existing organizational structures, not against them

My Approach

Mission Immersion

I don't design AI interfaces from conference rooms. I spend time with actual operators in their real environments, understanding not just what they do, but why they do it that way.

Trust-Centered Design

Trust isn't a feature you add to AI—it's earned through consistent, reliable, and transparent performance. I design systems that build trust through every interaction.

Human-AI Partnership

The best AI amplifies human capabilities rather than hiding them. I design for collaboration, not automation that removes humans from the loop entirely.

Operational Reality

Government AI has to work within existing systems, processes, and constraints. I design for the world as it is, not as we wish it were.

Why This Matters

For Organizations: AI that people trust and actually use delivers better ROI than AI that sits unused because it's too complex or unreliable.

For Operators: Well-designed AI feels like a trusted partner, not another system to fight with when you're trying to focus on the mission.

For Missions: When humans and AI work together effectively, you get better decisions, faster response times, and more successful outcomes.

The future of AI isn't about replacing human judgment—it's about enhancing it. That's where great UX design becomes mission-critical.