Created the service strategy, end-to-end workflow, and adoption conditions for a trusted AI-enabled development and security capability.
The organization was building a white-label enterprise security hub and developer lifecycle AI capability, one meant to work across teams and portfolios, not just as a single internal tool.
The response was a proof of concept built to provide decision confidence, stronger threat tracking and mitigation across the enterprise portfolio, and an accelerated development lifecycle.
As Service Design Lead, I guided the initiative from research to real workflow to prototype, uniting executive vision, developer needs, and AI ethics.
The prototype demonstrated technical feasibility, but lacked research, workflow context, governance, trust considerations, and a scalable information architecture.
Rapidly changing guidelines across the portfolio
Limited grasp of the challenge across roles
Hesitancy among users who feared replacement
Leadership pressure amid minimal experimentation infrastructure
"Threats are constantly emerging and the portfolio is large." Enterprise Architect
"Balancing features and speed with security." Product Owner
"Constant disruption to the SDLC with vague remediation guidelines." Project Architect
"Multiple insight formats are challenging to automate into PRDs." UX Researcher/BA
Reframing before refining: the prototype was not treated as proof that the right service had been designed. I reframed it as an enterprise service spanning multiple roles, decisions, workflows, trust requirements, and adoption conditions.
Can we build this?
Should we build this? Who is it for? What makes it successful?
Aligned business goals, success metrics, and target audiences before any design work began.
Mapped the future state and shaped the concept through cross-functional discovery and design.
Built and stress-tested the prototype through rapid usability testing.
Packaged the work into a socialization video, POC deck, and adoption strategy for rollout.
Simplified reconstruction. Proprietary workflow details have been removed or altered.
The engagement evolved from a technical proof of concept into an enterprise-ready capability with validated workflows, governance, and a clear path to adoption.
Achieved by automating repetitive cognitive tasks and surfacing relevant context at the moment of decision.
This public version has been simplified to protect client confidentiality. I'd be happy to walk you through the research, strategic decisions, representative artifacts, and transformation roadmap with hiring teams and prospective clients.
Request a Private Case Study WalkthroughCurrently open to full-time, contract, or consulting. Principal/Staff level.
Service & Product Design, AI Activation, UX Research