Design Strategy - in progress
AI for Admins
Introduction
As an Admin UX leader, I identified a growing gap between the complexity of modern admin platforms and the tools available to help administrators make confident, timely decisions. While AI adoption was accelerating across consumer experiences, admin users—who manage risk, governance, and business-critical systems—were largely excluded from meaningful AI support.
I am leading the strategy to define how AI should responsibly augment admin workflows, moving beyond feature experimentation toward a clear, scalable framework for AI-powered decision-making. This work is in progress—so check back for updates!
The Problem
Admin users face:
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High cognitive load across fragmented tools
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Increasing system complexity (roles, permissions, policies, analytics)
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Low tolerance for errors or opaque automation
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AI skepticism due to trust, accuracy, and governance concerns
At the same time:
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Internal teams lacked shared principles for where AI belonged in admin experiences
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AI efforts risked becoming fragmented, reactive, or novelty-driven
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Designers and PMs struggled to translate AI capabilities into real admin value
The result: missed opportunities for leverage, slower decisions, and inconsistent AI experiences.
My Role
I'm currently the UX Lead for AI in Admin Experiences, working across design, product, engineering.
My responsibilities include:
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Defining the strategic role of AI in admin platforms
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Establishing guardrails for responsible AI use
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Translating abstract AI capabilities into practical admin workflows
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Aligning stakeholders around a shared vision and vocabulary
Strategy and Approach
A decision-first framework for responsible AI in high-stakes systems
Reframing AI’s Role
for Admins
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Rather than positioning AI as an “assistant that acts,” I framed it as a decision-support layer that:
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Reduces cognitive load
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Surfaces patterns and risks Preserves human authority and accountability
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This distinction was critical for trust and adoption.
AI Maturity Model for
Admin UX
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I developed a phased model to guide teams:
Assistive ➡ Agentic ➡ Ecosystemic
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Embedding Strategy into Practice
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Aligned teams through shared models & language
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Anchored AI to real admin decisions
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Prioritized impact over novelty
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Enabled designers & PMs to build responsibly
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