MICHAEL TEMPLE
Systems thinker, platform builder, AI workflow shaper
Over 15 years of UX design leadership helping cross-functional teams define product direction → build momentum and deliver measurable impact.
Featured Work
GoogleEnterprise Agents · IAM & Observability
Designing the control plane for enterprise AI agents
Shaped platform strategy for enterprise agents operating across high-risk internal environments—translating concepts into prototypes that govern identity, delegated access, and investigation-to-containment workflows at scale.
Agent IAM strategy · Agent workforce management · Google DeepMind pilots
Read case study →GoogleSecure AI · Developer Experience
Turning secure-AI strategy into usable developer workflows
Translated Google’s Secure AI Framework into service blueprints, risk-calibrated checkpoints, and practical guidance that helped teams turn security requirements into reviewable evidence for GenAI and agentic systems.
Secure AI DevEx · Service blueprints · 580-person SAIF Summit talk
Read case study →GoogleEnterprise Workflows · AI-Assisted Assurance
Streamlining complex product ecosystems at scale
Designed enterprise workflow platforms and AI-assisted tools that helped product teams navigate review requirements with stronger evidence quality and greater launch confidence.
50k launches/year · 54% faster reviews · $15M annual operational savings
Read case study →Kaiser PermanenteiOS & Android · Enterprise Design System
Scaling mobile product experiences & design systems
Grew the UX team and led a major healthcare app redesign across 8 product areas while building design-system foundations for a consistent, accessible mobile platform that could scale.
265% MAU growth · 8 product areas · 35-person cross-functional team
Read case study →Building AI-native UX practice from exploration to delivery
Google Core UX · Team EnablementOver the past 18 months, I helped shape Core UX enablement programs that moved teams from AI experimentation to repeatable delivery practices. The work included upskilling programs, structured prompting methods, internal knowledge agents, reusable Skills, and MCP-enabled agent workflows.
The practice connects research synthesis, knowledge exploration, product development, prompt-to-UI iteration, usability review, and IDE-powered delivery—moving teams toward stronger habits around traceability, insight quality, design velocity, and code-ready delivery.
Industry evidence suggests these practices can drive roughly 15% productivity gains in knowledge work, 40% faster code generation, and 50% less time spent on documentation tasks.
About me
I'm a product and platform designer who leads teams through complex challenges:
Build trust, clarity, and momentum
I help teams align around ambitious goals, shared context, and confident decisions so they can keep moving when the path is ambiguous. My leadership style centers on clear expectations, respectful collaboration, decisive product judgment, and a strong connection between daily execution, user outcomes, and organizational impact.
Scale products, teams, and design systems
I build and mentor UX teams that connect product direction, user needs, and design foundations so complex ecosystems move with focus, consistency, and purpose.
Turn ambiguity into measurable outcomes
I guide cross-functional teams from early opportunity framing to confident product strategy and cohesive user experiences that deliver measurable impact.
Make secure AI workflows easier to build
I translate enterprise strategy into UX patterns, enabling developers to move through secure AI workflows without disrupting their day-to-day work.
Move governance at product speed
I shape AI-powered platforms that accelerate compliance review by automating low-risk decisions and giving reviewers the evidence they need for higher-risk launches.