About the Client
A leading financial enterprise offering mobile wealth management solutions wanted to elevate its customer experience by providing personalized financial insights. The platform allowed users to track their portfolios and goals but lacked a unified data strategy and AI roadmap to transform raw data into intelligent, real-time recommendations.
The enterprise aimed to unify its fragmented data ecosystem and leverage AI to deliver contextual financial advice, enhance engagement, and drive customer loyalty across its digital channels.
The Challenge
- Fragmented data sources across portfolio, risk, and transactions limited customer-level insight generation.
- Absence of a defined AI roadmap hindered personalization and predictive capabilities.
- Advisors spent significant time on manual portfolio analysis and routine customer interactions.
- Lack of real-time recommendations reduced customer engagement and product adoption.
The Solution: Data & AI Consulting for Financial Intelligence
Unified Data Foundation
TVS Next partnered with the client to define a data modernization and AI enablement roadmap powered by Snowflake’s AI Data Cloud. Through rapid discovery workshops, we aligned business goals, CX outcomes, and technology readiness, enabling a structured transition from insights to scalable AI adoption.
Key Solution Components
Data Strategy & Readiness Assessment
Mapped existing data assets—including portfolio, risk, and transactional data—and unified them within Snowflake’s governed AI Data Cloud to support secure, scalable analytics.
AI Opportunity Discovery
Identified high-value, quick-win use cases such as portfolio recommendations, goal tracking, and risk prediction.
Model Design & Enablement
Defined ML parameters including risk scores, goal achievement rates, and market indicators for a recommendation engine capable of delivering contextual insights.
Roadmap Creation
Designed a phased AI adoption roadmap—from pilot to enterprise scale—covering predictive insights, a virtual advisor module, and conversational interfaces.
Solution Highlights
Personalized Portfolio Recommendations
AI models analyze portfolio composition, risk appetite, and goal progress to recommend optimal asset allocations and investment products.
Virtual Financial Advisor
A digital assistant provides proactive, AI-driven advice on portfolio rebalancing, diversification, and goal tracking, enabling human advisors to focus on strategic interactions.
Goal Tracking & Predictive Insights
AI continuously monitors financial goals such as retirement, education, and wealth and suggests corrective actions to help clients stay on track.
Market Trends & Risk Alerts
Snowflake Cortex processes real-time market data to identify opportunities and issue proactive risk alerts.
Conversational Portfolio Manager
An AI-powered chat interface allows customers to interact naturally—checking progress, exploring new products, or rebalancing portfolios through intuitive prompts.
Powered by Snowflake
All portfolio, goal, and market datasets were consolidated within Snowflake’s AI Data Cloud, ensuring governed, real-time data access across teams.
Predictive models and advisory APIs were deployed seamlessly, enabling secure, scalable AI execution and integration with existing mobile and advisor platforms.
Key Highlights
- Personalized Insights: Goal-based recommendations and risk-aware advisory.
- Virtual Advisor: AI-driven conversational interface for clients and advisors.
- Unified Data Foundation: End-to-end visibility via Snowflake’s AI Data Cloud.
- Phased AI Roadmap: From readiness assessment to enterprise-scale adoption.
The Result
35% Improvement
Improvement in customer engagement through personalized insights.
2X Faster
Faster advisory response time with AI-generated recommendations.
Higher Product Adoption
Higher adoption of products such as mutual funds and insurance, driven by contextual advice.
Increased Trust and Transparency
Improved trust and transparency through explainable AI-driven financial guidance.
Outcomes
The financial enterprise now delivers AI-personalized financial guidance at scale, transforming raw data into actionable recommendations that enhance engagement, loyalty, and measurable business growth.
With Snowflake as the AI data foundation, and TVS Next providing strategy, design, and intelligence, the client successfully bridged the gap between data potential and customer value.
