AI-native Financial Operating System that continuously understands a person's complete financial life
Project Overview
Role: Product Manager • Product Strategist • Product Designer
Timeline: 6 Months
Industry: Artificial Intelligence • FinTech • Personal Finance
Type: Concept Product | Venture Scale AI FinTech Platform
Executive Summary
Meridian is an AI-native Financial Operating System that continuously understands a person's complete financial life, reasons over it using explainable AI, and executes financial tasks with user-defined permissions. Rather than becoming another budgeting application, Meridian introduces a new product category: Autonomous Financial Operations.
Marketing Page, Dashboard Web APP
Agile, Figma, Jira, Slack, Grafana
The Challenge
"What if software stopped reporting financial information and started acting like an intelligent financial operating system?"
During market research, I discovered several recurring pain points across different user groups. ↠ Consumers struggled with fragmented financial data spread across multiple institutions. ↠ Freelancers found traditional budgeting ineffective because income fluctuated monthly. ↠ Families lacked a shared financial picture. Investors managed portfolios across disconnected platforms. ↠ ↠ Retirees struggled with increasingly complex withdrawal strategies. Although each audience appeared different, they all shared one underlying challenge. Financial management still requires people to become financial experts. Current products either: ↠ Display information ↠ Automate one isolated task ↠ Answer questions without understanding the user's actual finances None continuously reason across a person's financial life while taking meaningful action.
Competitive Analysis
I evaluated leading products including: ↠ Mint ↠ Copilot Money ↠ Rocket Money ↠ Monarch Money. ↠ YNAB ↠ Revolut ↠ Fidelity ↠ Wealthfront ↠ Robinhood ↠ Cleo AI Rather than comparing feature lists, I analyzed how each product approached financial management. The pattern became clear. Every solution was either: ↠ A Mirror: Displays financial information. ↠ A Rule Engine: Automates predefined workflows. ↠ A Chatbot: Answers questions but cannot truly manage finances. No platform combined: ↠ Live financial context ↠ Persistent memory ↠ Multi-step reasoning ↠ Autonomous execution ↠ Explainable decision making This became Meridian's strategic positioning.
Research & Discovery
Product Strategy
1. Perception: Create a real-time Financial Twin that aggregates bank accounts, investments, loans, subscriptions, receipts, and tax documents into one continuously updated model. 2. Reasoning: Enable AI to understand trade-offs, simulate scenarios, forecast outcomes, and explain every recommendation transparently. 3. Action: Move beyond recommendations by allowing users to define permission levels for autonomous financial actions, such as bill negotiation, portfolio rebalancing, fraud protection, and cash optimization. This progression from seeing, to thinking, to acting became the foundation of the entire product architecture.
User Research
Rather than designing for a single persona, I synthesized research across multiple financial lifestyles. Key personas included: Freelancers with irregular income, Startup founders, Retirees, University students, Families managing shared finances Although their financial situations differed significantly, the Jobs-to-be-Done remained remarkably consistent. Users wanted technology that would: ↠ Think ahead ↠ Reduce anxiety ↠ Explain complex decisions ↠ Handle repetitive financial work ↠ Help them make better long-term decisions
Information Architecture
Given the breadth of financial activities, organizing information clearly became essential. I designed the platform around a central Financial Twin supported by specialized product domains: ↠ Financial Overview AI Agent ↠ Accounts ↠ Transactions ↠ Budgets ↠ Investments ↠ Goals ↠ Reports ↠ Protection ↠ Taxes ↠ Settings Connecting every experience is the Action Queue, a unified workspace where users review AI-generated recommendations regardless of where they originated. This reduced navigation complexity while reinforcing a single mental model for autonomous financial management.
Feature Prioritization
MVP
Instead of attempting to build every capability at launch, I applied the MoSCoW framework to define a realistic product roadmap. Phase 1 ↠ Financial Twin ↠ Account aggregation ↠ AI financial agent ↠ Adaptive budgeting ↠ Goal planning ↠ Fraud detection ↠ Permission management ↠ Cash flow forecasting Phase 2: ↠ AI Bill Negotiation ↠ Portfolio Rebalancing ↠ Credit Optimization ↠ Retirement Planning ↠ Multimodal AI ↠ Future Vision ↠ Household Intelligence ↠ Insurance Review ↠ Multi-language Support ↠ Advanced Wealth Management This prioritization ensured early product value while creating a scalable roadmap.
AI Experience Design
Instead of treating AI as a chatbot, I designed Meridian around specialized reasoning systems. Examples include: ↠ AI Financial Coach ↠ AI Tax Assistant ↠ AI Wealth Advisor ↠ AI Spending Intelligence ↠ AI Fraud Predictor ↠ AI Investment Analyst ↠ AI Goal Planner ↠ AI Cash Flow Predictor ↠ AI Scenario Simulator Each module shares a persistent Financial Twin, allowing recommendations to remain contextual, personalized, and explainable across the platform.
My Contributions
Throughout this project I independently: ↠ Conducted market and competitive research ↠ Defined the product vision and positioning ↠ Identified underserved market opportunities ↠ Synthesized user research into actionable insights ↠ Created personas and Jobs-to-be-Done ↠ Designed the information architecture ↠ Prioritized features using the MoSCoW framework ↠ Defined AI interaction patterns and autonomy principles ↠ Authored a comprehensive venture-scale Product Requirements Document ↠ Established product success metrics and roadmap ↠ Collaborated across product strategy, UX thinking, AI systems, and technical architecture to ensure the solution was feasible, scalable, and user-centered.
Implementation & Testing
Impact
Although Meridian is a concept product, it demonstrates my ability to think beyond features and interfaces by solving systemic problems through product strategy. The project showcases my approach to: ↠ Identifying market opportunities through structured research. ↠ Defining a compelling product vision and positioning. ↠ Translating complex user needs into scalable product requirements. ↠ Balancing user trust, business goals, and technical feasibility in AI-driven products. ↠ Planning execution through clear prioritization, information architecture, and measurable success metrics. This work reflects how I approach product management: connecting customer problems, business strategy, design, and technology into products that are both ambitious and grounded in execution.
Skills Demonstrated
Product Strategy • Product Discovery • Market Research • Competitive Analysis • User Research • Jobs-to-be-Done (JTBD) • Product Vision • AI Product Management • Information Architecture • Feature Prioritization (MoSCoW) • Product Roadmapping • UX Strategy • Systems Thinking • AI Experience Design • Success Metrics (North Star & KPIs) • Technical Product Management • Stakeholder Communication • PRD Authoring • FinTech • Agentic AI • Explainable AI (XAI) • Autonomous Systems
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