MoneyBee: An AI App to Help Young Indians Actually Understand Their Investments
Last week, during a Product Management workshop, we were given a deceptively simple challenge from “top management”:
Build a digital product for the Indian market that helps young people track money, understand investments, and make better financial decisions using AI.
No feature list.
No constraints.
Just a real problem.
We were split into teams of six, each playing a clear role: product, tech, design, research, business, and pitch. The goal wasn’t to design screens. It was to think like a real product team, end-to-end.
That’s how we started building Moneybee: making smart investments using AI...
Watch Demo
Step 1: Understanding the Real Problem
We didn’t start with features. We started with a question:
Why do people struggle with investments, even when they earn well?
From discussions, research, and personal experience, a few patterns became clear:
Investments are scattered across apps like Zerodha, Groww, bank platforms, etc.
People see numbers, but don’t understand risk.
Most people can’t answer one simple question: “Am I investing correctly for my life goals?”
That led us to a strong insight:
People don’t need more investment products. They need clarity, direction, and confidence.
Step 2: From Many Ideas to One Clear Direction
We brainstormed multiple ideas like expense tracking, debt management, daily savings, future wealth planning, and subscription management.
But instead of building everything, we grouped and evaluated ideas based on value vs effort. Many “popular” features like budgeting or SIP planners scored low, not because they’re bad, but because they assume users already understand investing.
The features that stood out were the ones that reduced cognitive load and explained risk visually
Step 3: The Core Idea - The Investment Triangle
This is where Moneybee truly took shape.
We introduced a simple mental model: The Investment Triangle.
Base (Low Risk): Cash, savings, government-backed instruments
Middle (Medium Risk): Mutual funds, equities, real estate
Summit (High Risk): Options, futures, speculative assets
Instead of charts and jargon, Moneybee places your entire portfolio inside this triangle.
At a glance, users can see:
Where their money is today
Whether their portfolio is balanced or risky
How far are they from where they want to be in 5 years
Risk becomes visible, not abstract.
Step 4: How the Product Actually Works
We built the full product flow using Google AI Studio and designed Moneybee as an AI-powered companion, not a trading app.
A user can:
Aggregate investments (or use mock data for MVP)
See portfolio health visually inside the triangle
Chat with an AI assistant that explains insights in plain language
Users can ask:
“Is my portfolio too risky?”
“I have ₹10,000 extra this month—what should I do?”
“Am I aligned with buying a house in 5 years?”
Important detail:👉 Moneybee not only tells users what to buy. It explains who they are as investors and who they can become
Since Moneybee operates in the investment and wealth management domain, we had to design the product while respecting Indian regulatory frameworks and compliance requirements.
We consciously aligned the product with:
KYC norms (PAN/Aadhaar-based identity verification before portfolio aggregation)
SEBI guidelines, ensuring the app does not provide direct investment advice
Clear disclaimers stating that insights are informational, not recommendations
Data privacy principles, with user consent and secure handling of financial data
The AI assistant was designed to explain risk, patterns, and trade-offs, not suggest specific securities. This ensured compliance while still delivering value through clarity and education.
Step 5: User Journey & North Star Metrics
We designed two core journeys:
Current Portfolio Health
Awareness → Asset entry → Triangle visualization → Insight → Action nudges
North Star Metric: Weekly Portfolio Review Rate
Future Predictor & Chatbot
Login → Ask question → AI forecast → Storytelling → Behavioral nudges
North Star Metric: Forecast-to-Action Conversion Rate
We measured success not by app opens, but by behavior change
Step 6: Pre-Sales Pitch & Business Model
Moneybee is a long-term habit product, not a one-time tool.
B2C Model
Freemium → Premium
₹99–₹149/month
Premium unlocks:
5-year projections
Rebalancing alerts
AI surplus planning
Monthly “What should I do next?” plan
B2B Model
White-label engine for employers, banks, wealth platforms
₹50–₹100 per user/month
Value: higher engagement, reduced financial anxiety
People don’t want more research.
They want answers.
What I Learned From Building Moneybee
This workshop wasn’t about building a perfect app. It was about thinking clearly.
My biggest takeaways:
Within just 2 hours, we can build a very good prototype using AI tools, which was not possible a year ago
Just stick to the goal and try to build an ecosystem around it
Visual clarity builds confidence faster than numbers
Good products reduce fear, not just friction
Moneybee isn’t just an app idea. It’s a way to help people understand money without overwhelm or anxiety.
That was our real goal, and that’s what we tried to build.
Slides
