Alipta BallavDesign + AI

When AI started entering our workflows, most designers were still operating in a Figma-first mindset. I saw a gap — not in tools, but in how we think about design.

I stepped in to push a shift from screen-based deliverables to AI-first problem solving. Through experiments with vibe coding, GitHub Copilot, and agentic workflows, I demonstrated how designers could move from idea to working prototypes in hours.

But the real impact wasn’t the experiments — it was the mindset change. I helped the organization start thinking in terms of systems, models, and intelligence, not just interfaces.

My leadership style has always been to step back and let teams lead. But AI changed that. There was no playbook, no clear direction — just noise and rapid change. So I stepped forward.

I ran hands-on experiments, built prototypes, and shipped production-ready code to understand what actually works. This allowed me to cut through ambiguity and give the team clear direction grounded in real experience.

Once clarity emerged, I stepped back again — letting the team scale what we had learned.

Adopting AI wasn’t just about tools — it was about confidence. Many designers were unsure where to start.

I focused on building an environment where experimentation felt safe and expected. I introduced learning forums, encouraged small, fast experiments, and helped create a shared vocabulary around AI.

Over time, conversations shifted — from hesitation to exploration.

What started as experimentation quickly grew into something larger. I began influencing conversations beyond the team — working with product, engineering, and leadership to shape how AI would be adopted across the organization.

From promoting AI-first workflows to contributing to agentic design initiatives, I helped connect vision with execution.

This led to broader leadership responsibility, expanding my role across multiple groups.