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( By / Day One Technologies / Lead UI/UX Designer / 2017–22 / 7 min read )

MyDhan

Shipped an AI-powered personal finance and wealth management platform spanning roughly nineteen modules, taking a user's entire financial life into one app

The result and the decision behind it

( What it did )

Shipped an AI-powered personal finance and wealth management platform spanning roughly nineteen modules, taking a user's entire financial life into one app

( The decision behind it )

A Home and Hub structure to make roughly nineteen modules navigable

At this scale a flat structure collapses. Nineteen modules cannot sit side by side without overwhelming a non-expert user. A hub-and-module architecture let the product grow without the navigation degrading, and mapping flows per module kept each one coherent on its own terms while still belonging to one product.

Generated schematic standing in for imagery of MyDhan. It depicts nothing.
Generated schematic, not a screenshot of MyDhan.

Generated schematic, not a screenshot. Real imagery to follow.

( The account )

Context

MyDhan is an AI-powered personal finance and wealth management platform built for the Indian market, positioned as "India's first AI powered money management app" and promising "the smart, simple, secure way to grow your money." Its premise is that expert financial guidance has always been reserved for people who can afford it. As the product puts it, everyone seeks expert advice when choosing a college or buying property, so why not for financial wellness and planning.

The product answers that by bringing a financial advisor into an app. It aggregates a user's entire financial life, income and expenses, credit cards, loans and EMIs, insurance, investments, tax, assets and liabilities, into one place, applies AI analysis to produce personalized real-time recommendations, and pairs that automation with access to human Personal Advisors who plan and execute investments on the user's behalf. The stated goal is to identify a user's financial health against six defined levels, then analyse, plan, and grow their wealth, taking them from solvency to abundance without spreadsheets or jargon.

This was not a single-feature app. MyDhan spans roughly nineteen substantial modules, several of which would be a product in their own right, and it needed to work on both iOS and Android. The design problem was as much about coherence at scale as it was about any individual screen.

The problem

Everyday consumers who want to build wealth face compounding problems. Their financial life is scattered across institutions, so income, expenses, credit cards, loans, insurance policies, investments, property, and tax all sit in separate places and nobody has a single view of their own position. Quality financial advice has traditionally been reserved for the wealthy, so ordinary users receive product pitches rather than planning. Understanding your own position means spreadsheets and jargon that most people will never engage with, so decisions get made without information. And there is no structured path: people know they should grow their money but have no sense of where they currently stand or how to measure progress. Estate and family planning, meanwhile, gets neglected entirely until it is too late.

The design challenge mirrored the product challenge. Roughly nineteen modules covering aggregation, analysis, recommendations, human advisory, estate planning, payments, documents, and support is closer to a suite than an app, and all of it had to stay navigable for a non-expert user and be delivered consistently across two platforms. The product also had to be honest about where automated analysis ended and a human advisor took over, because real money would move on the strength of that distinction.

What I did

A single AI-powered app that aggregates a user's whole financial life, analyses it, recommends actions, and connects them to a human advisor when they want one.

The structure rests on a few decisions. A central Home and Hub organize a very large surface area into something a person can actually navigate. A profiling Survey and a financial-health model place the user on one of six defined levels, turning the abstract question of "how am I doing" into a concrete starting point and a measurable path. From there the app aggregates finances across modules and applies AI analysis to return personalized recommendations rather than raw dashboards, because the product's value is guidance, not numbers. Calculators, including a dedicated affordability calculator, support specific decisions in the moment.

On top of the automated layer sits My Financial Advisor, the human service: advisors review AI-collated data, schedule calls to understand the user's targets, plan and execute investments with explicit user approval, and provide continuous reassessment. Around that core, the product extends past personal budgeting into household and life planning through Family Finance and a Digital Will, gives users a document vault in MyFiles, handles money movement through Payments and Collections, and answers questions in-app through a Chatbot and a Customer Support module.

The entire product was designed twice, with a complete parallel Android set mirroring the iOS design for every module, and supported by a responsive marketing landing page presenting the proposition and a five-tier subscription pricing model.

Outcomes

  • Delivered end-to-end design across aggregation (income and expenses, budgets, credit cards, loans and EMIs, insurance, investments, tax, assets and liabilities), AI-driven recommendations, human financial advisory, estate planning, payments, documents, and support
  • Designed a hub-and-module architecture and twelve mapped user flows that kept a suite-sized product navigable for non-expert users
  • Delivered the product on both iOS and Android, producing a complete parallel Android design set for every module alongside the app icon and brand assets
  • Extended a personal finance product into household and life planning through Family Finance and a Digital Will, a feature with little established interaction precedent in consumer finance
  • Designed a responsive marketing landing page with the solutions breakdown, advisory explainer, a five-tier subscription pricing comparison, and a Digital Will FAQ

What I learned

Architecture is the design work when the product is this big. With roughly nineteen modules, the individual screens mattered less than whether the whole thing held together. Establishing a consolidated wireframe and a flow per module before any visual design was what kept the product coherent, and it taught me that at a certain scale the most valuable thing a designer produces is a structure other people can build inside without breaking it.

Aggregation is not insight. It would have been easy to treat "all your finances in one place" as the finished product, but pulling data together and showing it back is only the setup. The audience was defined by avoiding exactly that kind of interpretation work. Committing to a stated financial-health level and a recommended next action, rather than a dashboard, was the difference between a product that reports and a product that advises.

Hybrid AI and human products need visible seams. The instinct with an AI-assisted service is to make everything feel like one seamless intelligence, but where real money is being invested, users need to know who is acting and when. Making the advisor layer distinct and putting an explicit approval step before anything happened turned out to build more confidence than a smoother, blurrier experience would have.

The full record / 4 decisions
My role
Lead UI/UX Designer
Timeline
November 2017 – April 2022
Platform
Mobile (iOS and Android) plus a responsive marketing landing page
Category
Consumer Fintech / WealthTech / Multi-Module Mobile Platform
Status
New design, delivered

Tools Sketch, Overflow

Team Lead designer owning end-to-end UI/UX, with additional design contributors and iterative client reviews

Decisions

A Home and Hub structure to make roughly nineteen modules navigable

What
Organized the product around central Home and Hub surfaces, with each major capability as its own module behind them, and mapped a dedicated user flow per module.
Alternatives
A flat feature list or a conventional tab bar carrying every capability, which is the default for smaller finance apps.
Why
At this scale a flat structure collapses. Nineteen modules cannot sit side by side without overwhelming a non-expert user. A hub-and-module architecture let the product grow without the navigation degrading, and mapping flows per module kept each one coherent on its own terms while still belonging to one product.

Lead with recommendations and a financial-health level, not dashboards

What
Designed the aggregated data to surface as AI-generated personalized recommendations and a defined financial-health level (one of six), rather than presenting users with raw charts to interpret.
Alternatives
A conventional personal finance dashboard showing balances, categories, and trends, leaving interpretation to the user.
Why
The audience was explicitly people who avoid spreadsheets and jargon. Aggregation alone would have reproduced the problem in a nicer interface. Turning data into a stated position ("here is your level") and a next action ("here is what to do") is what made the product advice rather than reporting.

Make the boundary between AI and human advisor explicit

What
Designed My Financial Advisor as a distinct layer on top of the automated analysis, with advisors reviewing AI-collated data, scheduling calls, and seeking explicit user approval before acting on investments.
Alternatives
Blending automated recommendations and advisory output into a single undifferentiated stream of guidance.
Why
Real money moves on these decisions. Users need to know whether they are reading an algorithm's suggestion or a human expert's plan, and an approval step before an advisor invests is both a trust mechanism and a practical safeguard. Keeping the two layers visually and structurally distinct made the hybrid model comprehensible instead of opaque.

Design every module twice, for iOS and Android in parallel

What
Produced a complete parallel Android asset set mirroring the iOS design across all modules, rather than designing once and leaving platform adaptation to engineering.
Alternatives
A single platform-agnostic design set handed off for developers to interpret per platform.
Why
With a surface area this large, leaving interpretation to implementation would have produced drift across nineteen modules and two platforms. Designing both sets explicitly kept the product consistent for every user regardless of device, and forced the design system to be disciplined enough to hold up twice.

( Tags )

  • Information Architecture
  • Design Systems
  • Wireframing
  • User Flows
  • iOS
  • Android
  • Mobile
  • Marketing Website
  • Payments
  • Fintech
  • AI Product Design