AI for UX Ops

Experimenting with agentic flows

I’m contributing to an ongoing, experimental initiative exploring how AI can transform UX operations. The goal is to automate design workflows, which can result in better compliance (accessibility, security, privacy) while provide predictive insights for design and engineering decisions.

My work focuses on building and integrating AI-driven features into the design lifecycle, focusing scalability and reliability while pushing the boundaries of what’s possible in design automation.

What is UX AI Ops?

UX AI Ops applies AI-driven automation and intelligence to UX workflows, enabling:

  • Predictive insight agents

  • Figma design agents

  • Accessibility check agents

  • Prototyping design-to-code agents

  • Copilot to contribute to engineering backlogs

UX AI Ops will support design teams by integrating AI into their daily workflows, reducing friction and enabling faster iteration.

Problem

Design teams at scale faced challenges like:

  • Manual QA and accessibility checks slowing delivery and creating backlogs

  • Fragmented workflows between design and engineering tools

  • Limited visibility into design system adoption and compliance

The goal: introduce AI-driven automation to reduce inefficiencies, improve quality, and free up designers to focus on creativity through the use of Microsoft agents

Engineering Contributions

Scoping & Discovery

Identified pain points across designers, PMs, and engineers to define automation opportunities.

Experimentation

  • Explored Copilot Studio and Microsoft Copilot Plugins (MCPs) to understand available connections.

  • Tested agent-to-agent permissions and interoperability for secure automation.

  • Used dummy data to validate natural language query handling before connecting to live systems.

Future proofing

  • Testing new agents on production scenarios one by one to validate agentic work flows

Impact to be seen

Efficiency Gains: We have already seen preliminary boost to backlog feature releases in our first case study

Improved Accessibility: Automated WCAG compliance checks across design assets

Design System Adoption: Increased consistency in Fluent UI usage through agent code updates. Note: all PRs are being reviewed by engineering teams

Scalability: Operationalizing agents is key to broadening impact