← Back to Projects
FinTechMobile AppProduct ManagementB2CFinancial Inclusion

AI Financial Coach

An AI-powered personal finance platform designed to help underbanked, low-income Americans achieve economic mobility through personalized, real-time financial guidance.

Role

Product Manager

Context

CMU Tepper Tech Innovation Challenge 2022

Year

November 2022

Team

Team Yaya (4 Members)

01My Contribution

What I Did as Product Manager

As PM on a 4-person team, I led product strategy, user research, and prototyping — translating a complex financial inclusion problem into a concrete, user-centered product vision that took us to the CMU Tepper finals.

🎯

Product Strategy & Roadmap

Defined the product vision, feature prioritization framework, and phased roadmap. Led MoSCoW-style feature scoring across 4 user segments to align the team on MVP scope.

👥

User Research & Personas

Developed the core user persona ("Monica") through pain-point analysis and demographic research. Mapped the end-to-end user journey from discovery through first financial recommendation.

📱

Prototyping

Built the product prototype illustrating key user flows — spending dashboard, personalized recommendations, and financial product access — used in the final CMU presentation.

🎤

Presentation & Storytelling

Co-developed the competition deck, structuring the narrative from problem framing through financials to secure finalist placement at CMU Tepper Tech Innovation Challenge.

02Problem

Millions Are Left Behind by the Financial System

Underbanked, low-income Americans lack the financial tools and literacy to manage everyday expenses, avoid predatory products, and build toward long-term goals — trapping families in cycles of debt across generations.

$12K

Average new childcare expenses in Year 1 alone

$230K

Average cost of raising a child to age 17

25M

US mothers with children under 18 needing better financial planning

~25%

Higher credit card debt for Americans with 2 children vs. none

56%

Childcare expenses as share of African-American family income

52%

American households earning under $70K annually

03Target Users

Who We're Building For

AI Financial Coach is designed for underbanked, low-income Americans who lack the tools and literacy to navigate financial decisions on their own.

🤱

"Monica"

Assistant Store Manager · $70K household income · Two bank accounts, low financial literacy

I make the same amount of money but my expenses keep climbing. I don't know where to start.

🎯

"The Planner"

Hourly worker · Focused on building credit and saving for long-term goals

I want to save for a car and my kids' future, but I just seem to be spending faster than I earn.

📈

"The Climber"

Gig worker · Rebuilding credit · Seeking vetted loan options to avoid predatory lenders

I need a loan but I don't know which offers are safe. My credit score isn't where it needs to be.

04 — Solution

Core Features

AI Financial Coach combines real-time spending intelligence, personalized product access, and long-term goal planning — powered by a self-improving data engine.

Click a button below to see each feature in action & tap inside the app to explore interactively.

Home

Personalized Savings Dashboard

Analyzes your spending against similar households in your geography to surface specific, actionable savings opportunities — down to the merchant level.

Loading…

05User Journey

End-to-End Experience Flow

From first download to first personalized recommendation — AI Financial Coach is designed to deliver immediate, tangible value.

1

Download

Discover AI Financial Coach via referral, social, or partner

2

Onboard

Complete profile with income and goals

3

Connect

Link bank accounts via Plaid integration

4

Analyze

AI Financial Coach ingests spending and builds baseline

5

Recommend

First personalized savings recommendation

6

Plan

Set long-term financial goals with guided plans

7

Improve

Model flywheel learns from outcomes over time

06Technical Architecture

AI Financial Coach's Model Outcome Flywheel

AI Financial Coach's strategic moat is its data engine — a self-improving flywheel that gets smarter with every user outcome, creating recommendations competitors cannot replicate.

Data Sources

Empirical Research
Professional Financial Planners
Existing PNC Customer Data

Data Ingestion

Customer External Bank Data
Plaid Integration

AI Financial Coach Backend Engine

Model Outcome Flywheel
Recommendation Engine

Customer-Facing Output

Personalized Recommendations
Source New Model Outcomes

Tech Stack

🔗Plaid API Integration
🤖AI/ML Recommendation Engine
📊Behavioral Data Analytics
🔄Model Outcome Flywheel
🔒Bank-grade Data Security
☁️Cloud Infrastructure

07Competitive Landscape

Feature Comparison Matrix

AI Financial Coach is the only platform combining bank-level data access, cross-institution spending visibility, and a self-improving recommendation engine — all tailored to an underserved segment.

FeatureAI Financial CoachTraditional BanksMint / Advisory Apps
Solution customizable to individual user
Visibility to cross-institution spending data
Directly integrated bank services
Designed to improve over time (flywheel)
Personalized financial product recommendations
Targeted for underserved / low-income segment

08Market Opportunity

Market Sizing

Targeting working mothers with household incomes under $70K — a 25M-person segment underserved by existing financial tools and highly motivated to adopt better solutions.

SAM — 25M
Working mothers with children under 18 needing financial planning support
SOM (Y5) — 1.5M
Projected serviceable obtainable market by Year 5 at 3% penetration

Revenue Projections

$173M

Projected incremental revenue for PNC over 5 years

$110

Incremental annual revenue per AI Financial Coach customer

20%

Share of AI Financial Coach users projected to become net new PNC customers

09Go-to-Market Strategy

Phased Market Entry

B2C-first through referral and digital channels, with B2B partnerships layered in to accelerate adoption and build institutional trust.

MVP Launch

Core Value Delivery

Launch with two flagship features: Personalized Savings Recommendations and Spending Alerts. Objective: demonstrate immediate, tangible value and seed the model outcome flywheel.

Growth

Build the User Base

Drive acquisition through incentivized referrals, targeted digital advertising, influencer marketing on TikTok and YouTube, and in-person sign-up partnerships.

Monetization

Activate Revenue Streams

Introduce affiliate marketing for vetted financial products. Sell anonymized consortium data insights to partners. Offer 3-month interest-free promotions through distribution partners.

Long-term

Generational Retention

Encourage mothers to open PNC accounts for their children — creating a generational retention flywheel and expanding AI Financial Coach's addressable market over time.

Let's Connect

Open to new opportunities

Fintech PM roles, product collaborations, or just a good conversation about building things — I'd love to hear from you.