English | 繁體中文

How do your teams map the journey to find the moments where innovation creates the most value?
Part 1:How Classical Design Thinking Techniques tackle the above question [Details]
Part 2: How AI Agents Complete 5 Critical Innovation Tasks in Minutes [Details]
Part 3: Why AI Agents Matter – Efficiency & effectiveness gains [Details]
Part 4: What Large Language Models (LLMs) Power the AI Agents [Details]
Part 5: How AI Agents Operate in the Daily Workplace [Details]
Call us: Seeking further information [Details]
Part 1: How Classical Design Thinking Techniques tackle the above question

In the Define stage of the 6D Design Thinking Execution Model (shown above), the User Journey Map (shown above) serves as a reference tool to help teams visualize how target customers move through key stages, touchpoints, and emotions over time. It does this by outlining stages and touchpoints at the top, then capturing customer expectations, emotional highs and lows, observable behaviors, memorable quotes, and barriers/insights for each moment.

The journey map is good but can be slow to build, highly subjective, and difficult to keep synchronized across teams, so the AI Agent can help construct and update journeys in a more data‑driven, opportunity‑focused way.
Part 2: How AI Agents Complete 5 Critical Innovation Tasks in Minutes

- The AI agent pulls from personas, research transcripts, operational data, and digital analytics to propose an initial end‑to‑end journey structure: key stages, typical touchpoints, and likely expectations.
- It analyzes qualitative and quantitative inputs to infer emotional patterns, tagging each stage with likely highs, lows, and “moments that matter” where expectations and reality are most misaligned.
- It auto‑generates concise behavior descriptions, representative user quotes, and barrier/insight summaries for each step, all traceable back to specific evidence.
- It allows teams to simulate different personas or scenarios (e.g., first‑time vs. repeat users, digital‑only vs. hybrid) and instantly see how the journey, emotions, and pain points shift.
- It continuously refreshes the journey map as new data is added, keeping a single, shared view of where innovation could create the most value for both users and the business.
Part 3: Why an AI Agent Matters – Efficiency & effectiveness gains

- The initial journey is from 3–4 hours to 15–20 minutes (over 90% time savings).
- AI surfaces 20–30% more distinct pain points and opportunity moments, revealing where innovation has the greatest leverage.
- Focus on critical moments prevents broad, shallow programs that consume large budgets with limited impact.
Part 4: What Large Language Models (LLMs) Power the AI Agents

The core processing and document‑format creation of our AI Design Thinking Agents are powered by the latest-generation OpenAI GPT large language models, delivering enterprise‑grade reasoning, precision, and consistency across all analytical and narrative outputs.
Complementing this, Google Gemini Flash Image (Nano Banana) drives high‑quality visual and image generation, enabling rapid production of clear, executive‑ready canvases, blueprints, and illustrative assets that make complex innovation insights immediately understandable and action‑oriented.

Part 5: How AI Agents Operate in the Daily Workplace

To enable leaders to drive innovation across multilingual, cross‑border operations, the AI Agents are designed for seamless integration into everyday work. They operate in a truly always‑on model, available 24 hours a day, 7 days a week, from any location through computer devices. In addition, they natively understand and analyze 10 languages, including English, Traditional Chinese (繁體中文), Simplified Chinese (簡體中文), French, German, Japanese, Spanish, Portuguese, Korean, and Polish.

Please watch the short, two‑minute video below to see how the AI Agent supports employees in solving different challenges throughout the innovation process. For English subtitles, please click the [CC] button.
Call us to seek further information

- Email: cs@innoedge.com.hk
- WhatsApp: +852 6395-9027
- Hotline: +852 2235-9027


![[ InnoEdge Case] HK$3 Billion in Sustained Growth: How a Design Sprint Led to a Breakthrough in Customer Retention for a Bank in Hong Kong](https://i0.wp.com/www.innoedge.com.hk/wp-content/uploads/2025/03/card-3.jpg?resize=218%2C150&ssl=1)
![[InnoEdge Case] Innovation Jam 2024: Co-creative Community Design Journey for Sham Shui Po Fabric Market (深水埗新布藝市場)with 2-Day AI-Driven Design Sprint](https://i0.wp.com/www.innoedge.com.hk/wp-content/uploads/2024/12/WhatsApp-%E5%9C%96%E7%89%872024-12-1521.04.44_f91d8d49-scaled.jpg?resize=218%2C150&ssl=1)



![[視頻 及 專題文章] 應用 AI 設計思維方法,推動 香港構建快樂企業](https://i0.wp.com/www.innoedge.com.hk/wp-content/uploads/2026/03/20250320182853indexPhoto.jpg?resize=218%2C150&ssl=1)





![[現正接受報名] AI Rehabilitation Hackathon HK 2026 (如何提升病人復康效果,從而增加香港競爭力?)](https://i0.wp.com/www.innoedge.com.hk/wp-content/uploads/2026/04/Cover-Picture.jpg?resize=218%2C150&ssl=1)





