GenAI Framework: Structuring AI Integration

🔍 Background: Lessons from Verizon

🎯 Why This Workshop?

✅ What Can We Achieve?

📌 When to Use This Workshop?

🚀 Real-World Impact

Through the Verizon case study, we discovered a common challenge—companies want AI but often lack clarity on its purpose. Many view AI as a trend rather than a strategic tool, making it difficult to translate ambition into meaningful, user-centered solutions. This insight led us to develop a structured approach to demystify AI integration and align it with real business and user needs.

As a UX designer in a consulting company, I frequently collaborate with clients eager to integrate AI into their products. However, without a clear roadmap, AI often becomes an abstract ambition rather than a functional asset. This workshop was designed to shift AI from hype to strategy, ensuring it becomes a core enhancer of user experience and business value rather than just an add-on.

  • Clarity & Direction – Define realistic AI use cases that align with user needs, business goals, and technical feasibility.

  • AI Opportunity Mapping – Identify AI-powered features based on data availability, product strategy, and ethical considerations.

  • Cross-Team Alignment – Ensure designers, engineers, and stakeholders share a common understanding of AI’s role.

  • Making AI Tangible: Transforming AI from a vague concept into a structured, achievable framework that teams can confidently implement.

  • Standardized Work Processes – Create repeatable, scalable AI integration methods that ensure consistency across projects and improved efficiency

  • Early-Stage AI Strategy Discussions – When teams are exploring AI but lack a structured approach.

  • Product Innovation Sprints – To integrate AI-driven enhancements into existing products.

  • Client Engagements – To guide clients in defining AI solutions that bring real value instead of adding AI just for the sake of trend adoption.

This framework has already been successfully applied in real-world projects:

  • Hilton Boost AI – Enhanced guest interactions and operational efficiency through AI-powered automation.

  • Bristol-Myers Squibb Eliquis – Improved patient engagement and healthcare communication with intelligent AI-driven insights.

Structured AI in 6 Steps

  • Step 1: AI-Enhanced Products Rooted in Human-Centric Principles

    Understanding the feasibility, desirability, viability, and impact of AI to ensure it enhances user experiences, aligns with business goals, and creates real value.

  • Step 2: Understand the Scope

    Why the product exists, How it serves users, and Where it stands are essential to embedding AI solutions that are empathetic and user-focused, and truly resonate with business.

  • Step 3: Define AI Direction

    Clarify AI's goal, value, and application. Translate insights into a tailored 'Big Idea' that precisely aligns with your products’ objectives and requirements.

  • Step 4: Arrange AI Blueprint

    Understand what our AI needs to learn and ensure right data ecosystem, transit AI concepts from theorical ideas to actionable blueprint.

  • Step 5: Illustrate New AI Journey

    Transform a theoretical AI blueprint into tangible scenario and interactive prototypes, not just visualizing but also making it interactively accessible.

  • Step 6: Validate AI Solution

    Test the AI solution with real users to ensure it meets their needs and performs as expected. This step is crucial the practicality and effectiveness of the AI solution in real-world scenarios.

Achievement & Impact

Through this workshop, we provided a structured approach to integrating AI, helping teams align on clear objectives and execution plans. Key results include:

  • Accelerated decision-making: Helped Hilton Boost confirm the AI design direction within 2 weeks.

  • Cross-team alignment: Facilitated collaboration between designers, developers, and stakeholders to define required data and technical feasibility early on.

  • Strategic AI implementation: Enabled teams to identify the right AI opportunities, ensuring solutions were both user-centric and technically achievable.

  • Scalable framework: Provided a repeatable method for evaluating AI features across different projects and clients

Let’s Talk!

Excited about AI-driven design and want to explore opportunities together? Whether you're looking to integrate AI into your product or discuss innovative UX strategies, let’s connect!

📩 connect me: vickyziweisong@gmail.com/ 912-308-9765