What are the key lessons from 12 months of teaching AI adoption to design teams?

Quick Answer: Successful AI capability building follows a three-stage framework: Skills (develop team competencies), Tools (select solutions aligned with values and privacy), and Trust (build confidence in AI processes). The future of design ensures human agency grows stronger as AI grows more powerful.

Key Characteristics:

AI adoption requires a three-stage framework: Skills, Tools, and Trust
Businesses that do not adapt risk falling behind in productivity and talent retention
Designing for AI products carries unique ethical challenges beyond traditional digital design
Human-centred design principles must remain at the forefront of AI-enhanced workflows

Real Example:

Riley Coleman's conversation on the All Things Design podcast unpacked how design teams can confidently build AI capability. Teams that skip straight to tools without building skills first, or deploy AI without establishing trust frameworks, consistently fail to realise productivity gains.

Article

12 Months Teaching AI Adoption: Lessons on Business Risk and Design Talent

Transform your design practice with human-centered AI principles and community support.

Riley Coleman

June 11, 2025·2 min read

Levers to achieving promised Accelerated Productivity from AI

Unique challenges that AI presents for adapting ways of working

Unique challenges & responsibilities designing for AI products & services has

Last week I sat down with Joe Woodham on All Things Design podcast for a great chat - to unpack how teams can confidently build AI capability in their design workflows.

🔍 Key Topics Covered

• Building AI skills across your design team

• What happens when businesses don’t adapt

• Three practical stages of AI integration: skills, tools, and trust

• Choosing tools that align with your team’s values and privacy goals

• The real impact of AI on design culture and leadership

• Communicating design’s value in an AI-powered world

I know many of you are keen on similar topics.

Whether you’re a designer, product leader, or executive, this episode is packed with insights to help you level up your team’s AI approach.

Written by

Riley Coleman

Founder, AI Flywheel

Riley helps design leaders build trustworthy AI experiences. They have trained 304+ designers and led 7 cohorts of the Trustworthy AI programme.

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Frequently Asked Questions

What is the three-stage framework for AI integration in design teams?

Skills (develop team competencies and AI literacy), Tools (select appropriate solutions that align with team values and privacy goals), and Trust (build confidence in AI processes). These stages are sequential.

What happens when businesses do not adapt to AI?

They risk losing more than productivity. Organisations that treat AI adoption as simply adding tools to existing workflows miss the fundamental changes required in ways of working.

What unique responsibilities does designing for AI products carry?

AI products present challenges beyond traditional digital design: ensuring human-centred principles remain central, maintaining ethical frameworks, and building continuous learning practices.

How does AI adoption affect design culture and leadership?

AI adoption is not merely a technical shift but a cultural one. Leaders must balance efficiency with human-centred values, and choose tools that align with privacy goals.