Gen AI

Concept

Hitachi AI

Sr Product Designer

Role

9 Months

Duration

2023

Year

Visual design + Prototyping + Opportunity Visualization

Concept UX for GenAI-powered support across legacy products + scattered data

Customer support agents at Hitachi operate inside a complex ecosystem—legacy products, scattered documentation, and high cognitive load across many tools. I helped translate research into human-centered GenAI concepts (clickable prototypes + UI flows) that keep agents in control while improving speed, clarity, and access to knowledge.

Concepts

Designed 3 GenAI concepts—spam filtering, agent chat assist, knowledge graph and RFP Tool — to reduce triage effort, improve product identification, and speed up accurate responses while keeping humans in control.

AI-powered filters automatically flag spam and competitor emails, reducing manual cleanup and letting agents focus on priority queries.

Dynamic chat assistant identifies products, suggests responses, and provides troubleshooting guidance through a knowledge graph.

GenAI-assisted RFP analysis that surfaces relevant past cases, documentation, and expert insights to help agents respond faster and more accurately.

Research Foundation

Grounded in mixed-method research (47 survey + 5 interviews) and end-to-end journey mapping across 24/7 global operations to identify high-impact GenAI opportunities.

5 in-depth qualitative interviews

End-to-end customer support journey mapping used to understand agent workflows, pain points, and breakdowns across tools and teams.

System Design

Proposed a ‘knowledge graph’ chassis that connects legacy docs, product history, parts data, and expert networks—powering multiple GenAI widgets across the workflow.

A conceptual system model showing how GenAI integrates legacy knowledge, workflows, and human expertise into a cohesive support experience.

Centralized knowledge graph connects legacy documents, parts history, and product data to streamline spare part requests and reduce delays.

Outcome

A validated direction for human-in-the-loop GenAI—focused on reducing cognitive load, improving transparency, and giving agents a holistic view of cases and knowledge.

Abstract pattern of white shapes on dark background

rajatbagga08@gmail.com

rajatbagga08@gmail.com