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description: Atlassian AI design leader Rachel Shepard shares how the team tackled low AI adoption by rethinking how agents are presented to users. Facing &#x27;agent sprawl&#x27; —...
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og:description: Atlassian AI design leader Rachel Shepard shares how the team tackled low AI adoption by rethinking how agents are presented to users. Facing &#x27;agent sprawl&#x27; —...
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# Driving AI adoption through trust: Insights from Atlassian designer Rachel Shepard

**[Atlassian](https://daily.dev/sources/atlassian)** · 4 min read · 1 upvotes · 0 comments

## Summary

Atlassian AI design leader Rachel Shepard shares how the team tackled low AI adoption by rethinking how agents are presented to users. Facing 'agent sprawl' — dozens of inconsistent, role-based agents causing confusion — the team ran a design sprint and shifted from agent-focused UX to composable 'Skills': smaller capabilities embedded directly into the interface. This reduced cognitive load, aligned with users' mental models, and increased feature usage. On the platform side, a shared skills registry was introduced to centralize first- and third-party capabilities. The core insight: UX doesn't need to mirror architecture, and over-branding features as 'AI' or 'agent' can hurt adoption rather than help it.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/design/ai-adoption-through-trust-rachel-shepard>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#atlassian](https://daily.dev/tags/atlassian), [#ux](https://daily.dev/tags/ux)

[View this post on daily.dev](https://daily.dev/posts/driving-ai-adoption-through-trust-insights-from-atlassian-designer-rachel-shepard-1onzcr01q)

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