Design Thinking × AI

Put people at the heart of AI transformation.

Organizations worldwide face a shared challenge: AI is changing how we work, what people need and how teams create value.

Design thinking offers a human-centered path. Understand real needs, define problems together and learn through experiments, so AI becomes a change people want to use and teams can deliver.

Explore AI transformation workshops Understand the method

01 — A direction for transformation

AI transformation starts with people.

Adopting tools is the beginning. Transformation changes employee workflows, customer experiences and organizational decisions.

Which problems deserve AI? Where does human judgment matter? How do new ways of working earn trust? Design thinking brings these questions into research, co-creation and experiments.

Find meaningful problems

Start with real customer and employee situations to identify where AI can create value.

Design human–AI collaboration

Understand people’s abilities, needs and concerns. Define AI’s role, human decisions and points of intervention.

Turn change into experiments

Use small prototypes and pilots to test practical outcomes, usability and business value before expanding.

Invite teams into the change

Bring different roles into defining problems and exploring solutions to build shared understanding through practice.

02 — The design thinking mindset

Expand your thinking. Keep your judgment.

Design thinking is a set of mindsets for complex problems. AI helps teams practice them, broaden their thinking and move into action.

Human-centered empathy

Organize interviews and feedback, identify needs across groups and develop follow-up questions. Verify findings with real people.

Curiosity and openness

Ask for alternative explanations, counterexamples and references from other fields to challenge familiar assumptions.

Reframing the problem

Examine challenges through user, employee, business and technology perspectives. Compare problem statements before choosing solutions.

Comfort with uncertainty

Separate what is known, unknown and assumed, then identify the next learning action even with incomplete information.

Experimentation and action

Generate storyboards, copy and prototypes to reduce the cost of trying and put ideas in front of people sooner.

Collaboration and co-creation

Bring together perspectives, make disagreements visible and help teams build a shared understanding.

Reflection and iteration

Compare expectations with test feedback and turn what the team learns into the next improvement.

AI can simulate perspectives. Real empathy comes from contact with people. AI-generated insights and suggestions need evidence and human judgment.

03 — Five stages, continuous learning

Enhance every stage with AI.

Move between stages as you learn. Use AI to accelerate exploration, then return to people and evidence to guide the next step.

Empathize

Find clues in user voices. Use AI to organize interviews, synthesize feedback and map journeys.

What you get
Insight summaries, journey sketches and questions for further research.
The human role
Meet real users, understand context and check AI’s summaries.
Define

Turn complexity into a clear challenge. Compare explanations and distinguish symptoms from potential causes.

What you get
Problem statements, key assumptions and “How might we…” questions.
The human role
Set priorities and choose which problem is worth solving.
Ideate

Explore solutions from different roles, constraints and situations. Combine and compare ideas with AI.

What you get
Creative directions, solution comparisons and value hypotheses.
The human role
Choose based on user value, business goals and feasibility.
Prototype

Make ideas tangible with storyboards, page copy, interaction sketches and working prototypes.

What you get
A concrete version of the idea that can be shown and tested.
The human role
Define what the prototype should test and preserve the core experience.
Test

Use AI to draft test tasks, organize observations and summarize issues into clear iteration priorities.

What you get
Test findings, improvement priorities and the next validation plan.
The human role
Observe real behavior and evaluate the solution using user evidence.

04 — Co-create the change

Make AI transformation a shared practice.

Bring business, product, design, technology and frontline teams around one challenge. AI reduces organizing work and expands ideas, leaving more time for conversation and decisions.

Before: build a shared starting point

Use AI to organize research, interviews and business materials, surface preliminary clues and open questions, and help prepare the agenda and activities. Bring traceable evidence into the room.

During: deepen exploration and dialogue

Cluster notes, summarize discussion, propose alternatives and generate storyboard or prototype sketches. Anonymous input and perspective summaries can help more voices enter the conversation. Participants choose and decide together.

After: move from ideas to experiments

Organize concepts, decision rationale and unresolved questions. Help create experiment plans, responsibilities and follow-up materials so teams know what to validate next and how to measure it.

Workshop outcomes belong to the participants. Check AI’s summaries with the team, retain minority views and unresolved disagreements, and protect personal information in research materials.

05 — From understanding to action

Leave with experiments your team can run.

A focused Design Thinking × AI workshop helps your team turn shared learning into concrete next steps.

An AI opportunity map Identify problems and potential value across customer and employee journeys.
Priority challenges and assumptions Agree on what to solve first and what needs validation.
A human–AI collaboration concept Describe task responsibilities, human intervention and experience requirements.
A testable prototype Show a new product, service or way of working in a concrete situation.
A pilot and learning plan Define owners, validation methods and success criteria.

Start with a meaningful challenge

Build shared understanding. Validate real change.

Invite your team to explore AI’s possibilities. Let design thinking guide the direction, AI strengthen insight and action, and real human needs shape every step.

Discuss your AI transformation challenge

Design a co-creation workshop around your team’s goals. Email us at [email protected].