Case Study: AI Content Transformation
Note: This is a brief summary. The full case study and supporting materials are available upon request.
I've been designing language systems for digital products since 2017 — from early voice and conversational experiences at Best Buy, where I helped establish enterprise content and conversational design practices across new interaction platforms, through large-scale conversational rebuilds at Allstate and USAA, and now into AI-driven content systems at PwC.
That work has spanned UX content systems, chat and voice experiences, IVR modernization, hybrid human–AI workflows, and multimodal experience design — along with the operational structures that connect them.
My recent work focuses on AI-driven transformation: designing model ecosystems, prompt and evaluation frameworks, governance structures, and the systems required to move organizations from pilot experiments to durable capability.
Some representative examples are below.
AI & Conversational System Transformation
Help organizations evolve from deterministic conversational systems to adaptive AI-enabled experiences — aligning interaction design, AI behavior, operational workflows, and governance structures.
(USAA, Allstate, Best Buy)
AI Content Systems & Governance
Design and operationalize AI-assisted content ecosystems, including prompt frameworks, evaluation models, governance structures, and scalable review processes.
(PwC Financial Services)
Content & Language System Design
Build scalable UX content systems across conversational, multimodal, and AI-powered product experiences — connecting brand voice, interaction patterns, and product behavior.
Voice & Language Optimization
Improve recognition, clarity, and conversational performance through regional language analysis, utterance refinement, and search-informed language design.
(Allstate, USAA)