About
Shruti Muktha is an UX Architect focused on designing user-centric, research-driven solutions that create meaningful impact. With a background in Architecture, she brings a systems-thinking approach to design, enabling her to navigate complex challenges and uncover opportunities for innovation. A published researcher, Shruti has presented and published academic papers at conferences like ICoRD, with her work featured in Springer proceedings. Some of her notable research includes applying design thinking and augmented reality (AR) to lifesaving education, as well as exploring women’s safety through design methodologies and emerging technologies to address real-world challenges. At Accenture, she has been actively involved in research around AI-assisted design lifecycle, exploring how context is created, preserved, and lost across design processes, and contributing to the development and validation of frameworks that bridge the gap between research, design, and implementation, and heavily contributing to the development of AgenticAI driven business-roadmap solutions. Driven by curiosity and continuous learning, she enjoys exploring the evolving intersection of design, technology, and AI to create impactful experiences that are both innovative and human-centered.
Workshop details
AI Design Accelerator: Fixing Context-Drift in Rapid AI-Assisted Design Lifecycle
About this workshop
This workshop will explore a practical challenge many design teams are beginning to face: AI can generate design artifacts and prototypes quickly, but the original user intent often gets diluted as teams move across prompts, tools and handoffs. Participants will work through a three-team activity. Team A will simulate a traditional vibe-coding relay, Team B will use a context-retained workflow, and Team C will jump directly from brief to code. The activity will make trade-offs visible: speed can produce polished UI, but missing context can weaken user fit, accessibility, constraints and business alignment. The session will then introduce a structured AI Design Accelerator framework that connects intent, persona, journey, stories, IA and ReactJS prototype through context handoff summaries. We will also demo an AI Design Accelerator automation application built by the team to show how stakeholders can reduce cycle time while retaining context at each stage.
Workshop key takeaways
- Identify where context drift can happen when AI-generated outputs move across prompts, tools and life-cycle stages.
- Use structured handoff summaries to retain product intent, persona signals, journey logic, constraints and business goals.
- Compare traditional vibe-coding, direct brief-to-code and context-retained workflows using a practical scorecard.
- Apply a code-first, refine-later mindset while preserving human review, accessibility validation and design ownership.
- Demo of AI Design Accelerator framework with a solution can reduce time from brief to React prototype without losing context, to show the possibility of ecosystem role in this.