ADDY RUTHI design for the gaps between systems, teams, and workflows—especially where people need to interpret a signal, understand its limits, and make a consequential decision.
For more than 15 years, I’ve worked on enterprise products spanning warehouse automation, freight logistics, industrial data, and financial investigations. The domains change; the questions recur. What is really happening? Who needs to know? What can they safely do next?
At Target, I was the sole UX designer for automation intelligence, working with site teams, Engineering, Operations, and Controls to connect equipment behavior and telemetry to human decisions. Earlier at Redwood, I helped shape tools for brokers, carriers, and customers across the shipment lifecycle. At Cognite and SymphonyAI, the same interest carried into industrial signals and AI-assisted investigations: make evidence and uncertainty understandable without taking judgment away from the person doing the work.
I work from field observation and system mapping through interaction design, prototyping, validation, and rollout support. A good interface does not ask people to forget what they know about the operation. It makes that knowledge easier to share and act on.
My title has not always described the scope. I have formally supervised designers, led a small UX team, guided matrixed designers and front-end engineers, and served as the sole designer setting direction across a platform. These are different kinds of leadership, so I describe each one plainly.
At Reynolds & Reynolds, I was promoted to Design Supervisor and led a 25-person production design team. I redesigned intake, onboarding, templates, and training so quality and delivery were less dependent on overtime or individual memory.
At SymphonyAI, I led a small UX team designing AI-assisted fraud and AML investigations. Shared patterns for evidence, rationale, and case resolution helped the product grow without every workflow becoming a special case.
At Redwood, I led UX and front-end direction with matrixed designers and engineers. I helped align Design, Engineering, and QA around a delivery process, and participated in design and engineering hiring.
At Target, I owned UX for automation intelligence while working with site teams, Operations, Engineering, and Controls. The leadership work was in research, shared decision models, reusable interface patterns, and validation across live operations.
Complexity is more than a crowded screen. It can be conflicting clocks, incomplete evidence, physical constraints, unspoken expertise, or several teams optimizing different outcomes. I map those conditions, then make the next decision legible while keeping uncertainty and human judgment visible.
Complexity Operations and engineering tools described the same facility at different speeds; local wins could create downstream losses.
Simplification A shared whole-building model with role-specific context, clearer states, and local drill-down helped teams see when to intervene.
See Material FlowComplexity Brokers, carriers, and customers depended on disconnected information, handoffs, and expertise that did not fit neatly into a form.
Simplification Readiness states, self-service paths for suitable loads, and explained recommendations kept exceptions and broker judgment in view.
See logistics workComplexity Emissions, anomaly, and compliance information had to be useful across customer systems and teams, with support issues crossing Customer Success and Engineering.
Simplification Predictive views and guided onboarding made signals easier to interpret and gave customers a clearer route to help.
See industrial data workComplexity Analysts had to weigh model confidence, rationale, evidence, and regulatory documentation while deciding what deserved investigation.
Simplification Shared triage and case patterns exposed the evidence and reasoning needed to review, override, and defend a decision.
See investigation workComplexity Ambiguous visual and language context can make several interpretations reasonable, even when only one answer meets the evaluation criteria.
Simplification I compare responses against defined criteria and design evaluation questions that expose where reasoning fails. I am exploring how AI can fit existing work without hiding uncertainty.
Across these roles, the lesson is consistent: simplify the path to a decision, while preserving the evidence, exceptions, and people needed to make it responsibly.
Sole UX designer across warehouse automation work linking robotics, material flow, alerts, maintenance, reporting, and live operational controls. Mapped field conditions and role needs into clearer system states and reusable HMI/SCADA patterns; supported commissioning and live-site validation.
Explore Target workLed a small UX team on fraud and AML investigation experiences, making model signals, rationale, evidence, and case resolution easier to review while keeping analyst judgment central.
View related summaryLed North American product design for emissions, anomaly, and compliance views, alongside onboarding and support experiences connecting customers with Engineering and Customer Success.
View related summaryJoined as the first designer and later led UX and front-end direction across carrier, customer, and internal logistics tools. Work included installation readiness, carrier self-service, and decision support for matching loads to carriers.
Explore Redwood workDesigned and coded responsive dealership experiences across brands, balancing manufacturer requirements with local needs and reusable front-end patterns.
Led design production and people development, building a foundation in craft, delivery, and mentoring that still informs how I collaborate.
Systems thinking, service design, product discovery, workflow and information architecture, cross-functional facilitation.
HMI/SCADA and industrial UX, data visualization, alarm and exception workflows, AI explainability, human-in-the-loop decisions.
Field research, Gemba walks, prototyping, usability validation, design systems, accessibility, commissioning and rollout support.
Figma, Miro, Adobe Creative Cloud, Ignition, HTML/CSS, and hands-on AI-assisted prototyping and evaluation.
M.S., Information Technology (UX focus) · Southern New Hampshire University, 2019
B.S., Web Design & Interactive Media · Art Institute of Pittsburgh, 2013
Inductive Automation Gold Certified Designer · earned 2023
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