# Evolving AI maturity for our user experience team

DevFeed: [Evolving AI maturity for our user experience team](<https://devfeed.tech/articles/evolving-ai-maturity-for-our-user-experience-team-1917.md>)

Original publisher: [Read original article](<https://1password.com/blog/evolving-ai-maturity-for-our-user-experience-team>)

Author: info@1password.com (Matt Davey)

Published: 2026-08-07T00:00:00Z

Content type: article

Language: en

Sources: [Blog on 1Password Blog](<https://devfeed.tech/sources/blog-on-1password-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [building-1password](<https://devfeed.tech/tags/building-1password.md>), [community](<https://devfeed.tech/tags/community.md>), [design](<https://devfeed.tech/tags/design.md>), [experimentation](<https://devfeed.tech/tags/experimentation.md>), [prototypes](<https://devfeed.tech/tags/prototypes.md>), [user-experience](<https://devfeed.tech/tags/user-experience.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

The article presents an AI maturity model for user experience teams, arguing that mature adoption improves decisions, collaboration, and product experiences rather than merely accelerating work.

## Source excerpt

AI is changing how products get made. For user experience teams, that means the very shape of the work is changing. There are two key elements of user experience design. On one side is craft: the interaction, nuance, visual judgement, emotional texture, and other qualities that make a product feel considered. On the other side are systems, strategy and behavioural thinking: journeys, concepts, mental models, product architecture, behavioural patterns, and the shared systems and languages that help teams make better products. AI tooling has created opportunities to deepen both of these skillsets. Designers can now get closer to the front-end experience using real components, real data, and realistic prototypes, instead of hoping that important details survive the process. At the same time, we now have more ability to work upstream, shaping product decisions at the strategy level. Now, rather than strategy and execution conflicting with each other, they can harmonize more closely, held together by a team that can think clearly and ship responsibly. The challenge of AI is that working faster simply produces more work; it doesn't always mean that work is better. For UX and design teams, AI maturity is not simply about whether a team uses AI, but whether it improves the quality of our decisions, our collaboration, and the experiences we ship. An AI maturity model for user experience teams In the early stages of adoption, AI use tends to be experimentation without much structure. A designer might use it to generate a few rough ideas or make an impressive prototype, but it falls apart when the team asks how it would actually work. To avoid the pitfalls of confusing AI enthusiasm with maturity, 1Password has been investing in AI fluency across the company. To make that progress visible and chart a path to impact, we have developed a simple maturity model for design teams, which charts AI use from limited, reactive, developing, embedded, and finally through to leading. Head