Evolution and Innovation Leap of Design Systems in the AI Era

As the wave of AI reshapes B2B and G2B business scenarios, AI has become the core engine for enterprise efficiency and experience optimization. However, we often fall into the trap of technology‑driven approaches, struggling to anchor the real needs of users and businesses. Meanwhile, design systems can easily become rigid, cold manuals of rules, losing the vitality to spark innovation.

We believe that a design system should serve as a bridge between technology and value. To this end, we have launched an AI design specification system for B2B scenarios, using a standardized design language to address the pain points of fragmented interactions and inconsistent experiences. Built on a unified specification foundation, this system achieves a balance between experiential and business value for AI products — "order and innovation in harmony."

In this session, we will explore together how to build a B2B/G2B AI design system that provides both structure and empowerment:

1. Listen to the Voice of the User: Anchoring Real Business Needs Amid Technological Change
1.1 The transformative impact of AI technology on B2B/G2B businesses
1.2 Core characteristics and differentiators of B2B/G2B AI products
1.3 Key difficulties and challenges in AI design practice

2. Empower Innovation: From Constraint to Creative Spark
2.1 Foundational construction of a B2B/G2B AI design system
2.2 "Inside‑the‑box" innovation methods for B2B/G2B AI design systems
2.3 Innovative application cases of the AI design system

3. Collaborate as Partners: Cross‑Role Co‑evolution Enabled by the AI Design System
3.1 Agent‑driven reconstruction of UI interaction paradigms
3.2 Role transformation: Designers as creative decision‑makers and system builders
3.3 Collaboration upgrade: Breaking team boundaries for smoother, more efficient teamwork

4. Future Outlook: Sustaining Long‑Term Business Growth Through the Design System
4.1 Iteration directions and evolution paths for AI‑driven design systems
4.2 Building a warm, evolving B2B/G2B experience ecosystem
4.3 Providing long‑term, sustainable momentum for business innovation

1、Background Introduction: Current state, pain points, challenges, and opportunities for B2B/G2B AI products
2、Case Study: Step‑by‑step breakdown of core principles and implementation methods for establishing B2B/G2B AI design specifications
3、Hands‑on Workshop: Group proposals and discussions based on real‑world AI specification application scenarios
4、Open Q&A: Question and answer session with experience sharing

1、User experience designers and interaction designers working on B2B/G2B AI products
2、Product managers and user researchers seeking to improve the experience of B2B/G2B AI products
3、Product leaders and design managers focused on the intelligent transformation of enterprise services

1、Master a complete methodology for establishing a B2B/G2B AI design specification system, directly applicable to daily work
2、Learn how to improve AI product efficiency and user trust in complex B2B/G2B scenarios through design specifications
3、Gain a practical guide to avoiding common pitfalls in real projects, reducing trial‑and‑error costs
4、Engage in in‑depth discussions with peers to broaden your industry perspective on B2B/G2B AI design