Digital Transformation & Applied AI
Selected Work
Most organizations start with generative AI through isolated experiments — a piece of copy, a quick answer, a faster task. I’ve been focused on a different question: how does AI become part of the actual operating system of a marketing organization?
Communications Intelligence→
Turning fragmented customer communications into a connected view
Led a cross-functional communications mapping initiative, then used AI-assisted development to turn the data into an interactive tool for exploring the customer journey and identifying gaps and overlaps.
SMS Optimization→
Building an AI-enabled SMS optimization tool
Designed and built an AI-enabled workspace for SMS cost estimation, campaign planning, copy optimization, and decision support.
the larger strategy
The individual tools above solve useful problems on their own — alongside a UTM and link-building tool and AI-assisted email copy generation built with colleagues. The bigger opportunity is connecting them.
A campaign workflow could eventually move from plan → generate → optimize → build → send → measure → learn, with information flowing between steps rather than disappearing into separate tools and processes — so each campaign helps inform the next one.
my approach
I don’t start with the question, where can we put AI?
I start with: where is there friction? Where are people repeatedly making the same decisions? Where is useful information difficult to access or interpret? From there, I look at how AI, automation, data, and existing platforms can work together to solve the problem.
Across these initiatives, my role spans problem identification, solution design, hands-on AI-assisted prototyping and development, workflow design, stakeholder collaboration, and planning how individual capabilities evolve into more scalable systems.