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AI-Augmented UX Practice

Embedding AI across the full product development lifecycle.

Days → HoursAlignment gap closed by rapid, AI-assisted prototyping
3UX components contributed to Delta's Enterprise AI Kit, in two days
6h → 2hManual research-synthesis time, without losing validity

Three workflow gaps, closed with AI

Workflow friction showed up at the same critical junctures again and again — stakeholder alignment, research synthesis, and rapid prototyping — each dependent on manual work that slowed delivery and blurred handoffs between discovery and execution.

Kiro

Rapid prototyping

Post-discussion notes into interactive prototypes, within hours.

Kiro Enterprise AI Kit

Kiro Enterprise AI Kit

Bringing the missing UX voice into Delta's enterprise starter kit.

Microsoft Copilot

Usability testing synthesis

Consistent-script transcripts run through AI, facilitator-validated.

Challenge

The organization faced workflow friction at critical junctures — stakeholder alignment, research synthesis, content quality, and rapid prototyping. These manual-dependent processes created delivery delays and unclear handoffs between discovery and execution.

Approach

1

Rapid prototyping with Kiro

Converted post-discussion notes into interactive HTML prototypes within hours, giving teams an immediate visual reference point right after discovery.

2

Contributed to the Kiro Enterprise AI Kit

Built three components across two days, addressing the missing UX voice in Delta's starter kit — designed for reuse across the organization.

3

Structured usability-testing synthesis

Ran consistent-script transcripts through AI prompts, with a facilitator validating every output before it shipped.

Outcomes

✓

Rapid prototyping cut the alignment gap from days to hours.

✓

UX heuristic components extended the Enterprise AI Kit's coverage organization-wide.

✓

Research-synthesis time dropped from 6 hours to 2, without losing validity.

Growth opportunity

Formalize the prototyping workflow through prompt templates, capture formats, and output conventions — scaling it from an individual practice into a repeatable team asset.

Key learning

“AI delivers the most durable value not as a standalone tool but as a precision layer applied at specific handoff points.”