AI workflow setup and training for product teams
In short: Our team enablement work leaves your team able to keep working this way after we've gone. We set up AI workflows for design, research and front-end work, put governance around your design system, keep a written record of every decision, and train your team to use all of it well.
- AI workflow setup
- The project record
- Design system governance
- Training
Team enablement
You need this when
You want your team to use AI tools well, not just quickly.
You're about to hire your first designer and want them to start with a system, not a blank page.
Your design system needs rules and checks to stay consistent as the team grows.
Typically includes
What you get
- AI workflow setup for design, research and front-end work, with review steps built in
- The project record: every decision, finding and test result, which stays with you
- Design system governance: rules and checks that keep it consistent
- Training for your product and engineering team
Explainer
What is the project record?
The project record is a running, searchable record of every decision, research finding and test result, written as the work happens and handed over to you. Anyone who joins later starts from what's already known.
Team enablement FAQs
No. Everything we make is yours and is handed over to your repositories and accounts, and the point of this work is that your team can carry on without us.
Yes. We can help you define the role and hand over properly, so they start with a design system and a project record.
Where to next
- BuildProduction-ready front-end code, in your repository or ours, to your conventions, with measurement built in from the first commit. Your engineers review and merge it.Learn more
Service
- DesignSeveral directions built from real components and tested with users before your engineers commit a sprint.Learn more
Service
- How we workHow we fit around your team, the platforms we work in and the process.Learn more
Page
- Designing Reliable AI Features People Can TrustDesigning reliable AI features means making uncertainty visible, setting useful limits and learning from real use before a product team scales them safely.Read
Article
Book a call
Let’s talk about your product
Book a call. We’ll talk about where your product is, what’s getting in the way, and whether we’re the right fit.
Or email ben@antiphono.com