Action Phase 1 to 4 for AI Innovation-in-Action

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Phase 1: Learning AI Design Thinking (DT 3.0) Mindset, Skillset and Toolsets

  • Objective
    • Equip participants with a practical understanding of AI Design Thinking (DT 3.0) and the Double‑Diamond execution framework, building the mindset, skillset, and toolsets required to drive AI‑empowered, human‑centered innovation across the organization.
  • Role of Innovation Teams (Design Thinking Teams)
    • Learn core DT 3.0 mindsets and principles through DesignThinkers Academy courses.
    • Understand the Double‑Diamond (Discover–Define–Develop–Deliver) process and its practical application.
    • Master powerful prompts for using Artificial General Intelligence (such as ChatGPT) to enhance the efficiency and effectiveness of Design Thinking toolsets.
    • Appreciate successful Design Thinking cases from different sectors and translate relevant approaches into their daily work.
  • Role of AI Design Thinking Agents and AI Innovation Spaces (during the classes)
    • AI Design Thinking Agents
      • Demonstrate how AI enhances the speed, quality, and consistency of Design Thinking execution during the classes.
    • AI Virtual Innovation Spaces
      • Provide an AI‑assisted project management platform to support participants in completing in‑class exercises and structuring their DT 3.0 workflows during the classes.
  • Deliverables
    • Participants receive an international Design Thinking Certificate from DesignThinkers Academy.
    • Participants receive a full set of learning materials, including a course guidebook, tool guide, case studies, and paper‑based execution tools/worksheets.
    • Participants gain confidence in applying AI Design Thinking in their workplace.

Phase 2: Practicing to Use Highly-Effective AI Design Thinking Agents to Tackle Real-world Problems

  • Objective
    • Enable participants to confidently use AI-Agents of AI Design Thinking (DT 3.0) within the Virtual Innovation Space and collaborate effectively with them to enhance the efficiency and effectiveness of their innovation processes.
  • Role of Innovation Teams (Design Thinking Teams)
    • Transforming the learning experience in the classroom in Phase 1 to practicing AI tools to addess real world challnges.
    • Select the right AI tools (from over 100 tools) to form a highly effective innovation or problem-solving process.
    • Lead AI agents effectively (e.g., by entering appropriate prompts and submitting the correct reference) during innovation or problem-solving.
  • Role of AI Design Thinking Agents and AI Innovation Spaces
    • AI Design Thinking Agents
      • Assist the Innovation Team in enhancing the efficiency and effective of executing the Design Thinking way from paper-based design thinking tools by integrating AI Technologies.
    • AI Virtual Innovation Spaces
      • Provide a digital platform that allows the innovation team to customize their innovation or problem-solving process.
  • Deliverables
    • The innovation team is fully transitioning its AI Design Thinking execution capabilities from paper-based worksheets to an AI-based platform and AI Agents, resulting in faster, more structured, and more scalable innovation and problem-solving approaches.

Phase 3: Determining the Challenge Statement of the Pilot Project

  • Operational Objective:
    • Identify and precisely frame a high‑value pilot challenge that is strategically aligned, clearly scoped, and supported by measurable success indicators.
  • Role of Corporate (Design Thinkers) Team
    • Identify a suitable product/service or process challenge.
    • Define scope, target users, stakeholders, and KPIs.
  • Role of AI Agents
    • Analyze existing data and reports to sharpen the challenge.
    • Suggest a challenge, risks, and opportunity angles.
  • Outcome
    • A clearly framed pilot project with agreed‑upon objectives, scope, and metrics.

Phase 4: Discovering Users’ Unmet, Hidden and Potential Needs

  • Operational Objective:
    • Generate a robust, data‑driven understanding of user needs and pain points, using AI‑enhanced analysis to achieve high accuracy in user insight discovery.
  • Role of Corporate (Design Thinkers) Team
    • Conduct interviews, surveys, observations, and data analysis.
    • Involve relevant departments to collect diverse perspectives.
  • Role of AI Agents
    • Summarize large volumes of user feedback and data.
    • Identify patterns, unmet needs, and areas needing deeper inquiry.
  • Outcome
    • A validated set of user insights forming the foundation for accurate problem definition.

Phase 5: Defining the Root Causes and Innovation Opportunities

  • Operational Objective:
    • Convert user insights into focused problem statements by identifying and validating the most critical root causes that block users from achieving their expectations.
  • Role of Corporate (Design Thinkers) Team
    • Facilitate workshops to interpret insights and debate causes.
    • Distinguish symptoms from underlying root problems.
  • Role of AI Agents
    • Support root cause analysis (5 Whys, cause-and-effect, clustering).
    • Propose alternative “How Might We” problem frames.
  • Outcome
    • A concise set of validated root causes and focused problem statements for ideation.

Phase 6: Developing Breakthrough Ideas

  • Operational Objective:
    • Produce and prioritize a diverse portfolio of solution ideas—co‑created across functions and staff levels—that directly target validated root causes and user expectations.
  • Role of Corporate (Design Thinkers) Team
    • Run cross‑functional ideation sessions involving AnyOne/AnyStaff.
    • Evaluate ideas against criteria such as impact, feasibility, and alignment.
  • Role of AI Agents
    • Provide creative prompts, analogies, and “idea mash‑ups.”
    • Combine, refine, and rank ideas based on given criteria and data.
  • Outcome
    • A prioritized shortlist of strong solution concepts ready for prototyping.

Phase 7: Delivering Prototypes for Desirability Testing

  • Operational Objective:
    • Rapidly develop and test low‑/mid‑fidelity prototypes with users to confirm which solution concepts are truly desirable and meaningful from the user’s perspective.
  • Role of Corporate (Design Thinkers) Team
    • Build low‑/mid‑fidelity prototypes (mock‑ups, flows, storyboards, demos).
    • Organize and run desirability tests with real or proxy users.
  • Role of AI Agents
    • Help generate visuals, flows, and content for prototypes.
    • Design test scripts, questionnaires, and summarize user responses.
  • Outcome
    • Clear evidence about which concepts users prefer and why.

Phase 8: Delivering Prototypes for Feasibility Testing

  • Operational Objective:
    • Validate the technical and operational feasibility of prioritized concepts through structured testing with relevant experts and organizational systems.
  • Role of Corporate (Design Thinkers) Team
    • Engage IT, operations, compliance, and process owners.
    • Test prototypes against systems, processes, and resource constraints.
  • Role of AI Agents
    • Draft technical/operational descriptions and process flows.
    • Suggest potential architectures, integration options, and risk checklists.
  • Outcome
    • A refined set of concepts confirmed as technically and operationally feasible.

Phase 9: Delivering Prototypes for Viability Testing

  • Operational Objective:
    • Assess and confirm the financial and strategic viability of selected solutions by evaluating business model fit, cost‑benefit, and potential return on investment.
  • Role of Corporate (Design Thinkers) Team
    • Work with finance and strategy to estimate costs, benefits, and ROI.
    • Align concepts with business model, portfolio, and strategic direction.
  • Role of AI Agents
    • Generate draft business cases, cost‑benefit analyses, and scenarios.
    • Compare options and highlight value/risk trade‑offs.
  • Outcome
    • One or more solutions validated as viable in terms of economics and strategic fit.

Phase 10: Delivering Prototypes for Sustainability Testing

  • Operational Objective:
    • Ensure the solution can be sustained over time from environmental, social, and organizational perspectives.
  • Role of Corporate (Design Thinkers) Team
    • Assess ESG impact, organizational capability, and long‑term support.
    • Confirm governance, ownership, and maintenance responsibilities.
  • Role of AI Agents
    • Provide sustainability frameworks, checklists, and stakeholder input aggregation.
    • Highlight long‑term risks and improvement opportunities.
  • Outcome
    • A solution design optimized for long-term sustainability and responsibility.

Phase 11: Driving Change with Impactful Launching Strategies

  • Operational Objective:
    • Execute a structured launch and change‑management plan that drives adoption, communicates value clearly, and delivers visible innovation impact.
  • Role of Corporate (Design Thinkers) Team
    • Plan and implement Go‑To‑Market or internal rollout (channels, messages, timing).
    • Coordinate training, internal communications, and change‑management actions.
  • Role of AI Agents
    • Draft launch communications, FAQs, training content, and scripts.
    • Support early monitoring of adoption metrics and feedback.
  • Outcome
    • A well‑orchestrated launch with strong initial adoption and clear impact signals.

Phase 12: Concluding the Project Success

  • Operational Objective:
    • Capture data‑driven learning, refine the solution based on real‑world feedback, and document the project as a repeatable success case that strengthens the organization’s innovation culture.
  • Role of Corporate (Design Thinkers) Team
    • Review performance data, user feedback, and KPI results.
    • Document lessons learned and define next steps or scale‑up plan.
  • Role of AI Agents
    • Analyze data and feedback to identify areas for improvement.
    • Generate concise project reports, case studies, and recommendations.
  • Outcome
    • A documented success story and improvement roadmap that strengthens innovation culture and future projects.