Workspace AI- Natural Language Intelligence for Advisors

Product: NL2Wealth – Conversational AI for Wealth Advisor Dashboard

Role: Product Lead (AI + Wealth Data Integration)
Timeline: Q1 MVP → Q2 integration roadmap
Scope: 200+ advisor query patterns, entitlement-safe production environment
Scale Context: Enterprise wealth advisors operating under strict PII + regulatory controls

Key Outcomes:

• Enabled a 500-advisor pilot using live PII data in a regulated environment

• Achieved >85% response accuracy with <3% agent error rate

• Maintained ~2.5s response latency on live Advisor Dashboard queries

Conversational AI

Agentic AI

Wealth Advisor

Wealth Management

0→1 Product Development

Featured Projects

Sustainability Intelligence

Scope 3 Ecosystem

Role: Product Manager | UX Lead

Duration: 10 Months

Description: Systems Thinking & Product Ecosystems- Building an end-to-end system that helps corporates measure, manage engage, and report emissions at scale.

Key Outcomes:

• Built and launched a 0→1 Scope 3 platform in Year 1, production-ready and enterprise-grade.

• Scaled 318% YoY — from 184 to 900+ corporates within 12 months.

• Increased active adoption 3x post-revamp, sustaining 72.9% activation across 180+ organisations.

• Architected a compliance-ready, modular ecosystem unlocking new revenue streams.

• Enabled partner-led scale — 1,000+ corporates onboarded through a single integration.

0→1 Product Development

Supplier Management

Climate Management

Regulatory

Climate MAP

Climate MAP — Turning Complex Climate Data Into Clear, Actionable Insights

Role: Product strategy | UX Lead

Duration:8 Weeks

Description: Helping investors assess climate alignment directly within their investment workflow.

Key Outcomes:

• Delivered the first Climate MAP application within LSEG Workspace

• Helped users make confident climate decisions with a unified model

• Strengthened trust by clearly separating reported vs modelled data

• Created the foundation for future climate analytics, benchmarking, and ITR-driven insights

DBS Enterprise

Global Lending Online Workbench - Credit Flows

Role: UX Strategy & Design

Duration: 12 Months

Description: Digitising a multi-million-dollar credit approval system for DBS

Anomaly Detection

Anomaly Detetction In ESG data - White Paper

Role: UX Strategy

Duration:8 Weeks

Description: Creating a rules- and ML-driven system to identify anomalies in ESG data across companies, sectors, and markets.