hello and welcome Available June 2026

Raf Laus.Lead product designer.

Working at the intersection of design systems, research practice, and applied AI for enterprise and infrastructure products. Eight years across healthcare, retail, animal health, and connectivity — most recently the experience architecture for IoT at T-Mobile and the design system + AI tooling for Elanco Knowledge Systems.

Years lead/principal4+Since 2022 · Elanco, T-Mobile
Shipped to production12Across 5 industries
Teams partnered30+Eng, PM, Research, Ops, AI
CredentialsMS HCDEUniversity of Washington · GPA 3.9
Scroll to walk the work
01 / Featured · current

T-Mobile · IoT Connectivity.

The framework that drives every enterprise IoT deal — from Einstein/Pardot lead scoring through a nine-section intake to contracting with Legal — redesigned end-to-end out of a Salesforce dual-list-picker hellscape.

Lead Product Designer (Contract)·Steelthread on Salesforce·2024 → 2026

I reframed the whole pre-sales arc as one decision system — explicit stages, recoverable branches, visible authorship at every handoff. The nine sections then drive custom and special pricing (including connected-vehicle and SASE bundles) before routing into contracting.

Intake time−71%
Handoff rework−58%
AE CSAT4.6
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Featuredimages/iot-connectivity/iot-quote.png
02 / Parent case study Parent → 3 children

Elanco Knowledge Systems.

A two-year program treated as one body of work: discovery, a shipped design system, applied AI tooling, and the operational infrastructure that tied them together. The work that holds my lead-level claim together.

Rather than four isolated efforts, the umbrella case study reads as a single operating model — a system the rest of the org could build on. The design system and ElancoGPT below each stand on their own.

03 / Elanco · child

Elanco Design System.

Tokens, type scale, naming, governance — shipped at scale across enterprise UX, AI tooling, and ops surfaces. The chassis everything else ran on.

Lead Product Designer·Elanco Knowledge Systems·2022 → 2024

Three-tier tokens — primitive · semantic · component — public decision logs, and codemod-backed deprecations. Authored as the system the rest of the team builds on, with governance run in the open.

Read the case study →
Design Systemimages/elanco/design-system.jpg
04 / Elanco · child

ElancoGPT · applied AI.

Enterprise AI with a designed epistemic structure — fact, inference, risk, action — over federated LLMs. A decision surface, not a generic chat shell.

Lead Product Designer·Elanco Knowledge Systems·2023 → 2024

Designed for the decision-maker — structured output, recoverable branches, visible authorship after automation fires. Evaluation loops measure whether the recommendation was taken and worked.

Read the case study →
ElancoGPTimages/elanco/elancogpt.jpg