RAMEENA JALIL
Product Designer
Fintech · FP&A · Cash Flow · Forecasting · AI
Financial Intelligence & AI-Assisted Decision Platform
Financial Intelligence
& AI-Assisted Decision Platform
Designing a trust‑critical financial intelligence platform that helps finance leaders analyze performance, manage cash flow, and make confident, data‑driven decisions using AI‑assisted insights.
Designing an end‑to‑end job lifecycle for a two‑sided care platform, focusing on trust, accountability, and payments.
Enter password to view case study
Context & Product Reality
Context & Product Reality
Finmetrx was an early‑stage fintech product with strong backend financial logic and AI experimentation, but no cohesive product experience. Core financial calculations, data pipelines, and agent logic existed in isolation, making the system difficult to use, reason about, and scale.
When I joined, the challenge was not designing "another dashboard", but translating raw financial logic, stakeholder knowledge, and technical constraints into a usable, trustworthy product system.
Finmetrx was an early‑stage fintech product with strong backend financial logic and AI experimentation, but no cohesive product experience. Core financial calculations, data pipelines, and agent logic existed in isolation, making the system difficult to use, reason about, and scale.
When I joined, the challenge was not designing "another dashboard", but translating raw financial logic, stakeholder knowledge, and technical constraints into a usable, trustworthy product system.
Key realities
Key realities
Backend logic existed, product experience did not (0->1)
Highly data‑dense, trust‑critical domain
CFO‑level accountability for accuracy and decisions
No prior design system or interaction model
The Core Problem
The Core Problem
Finance teams had access to large volumes of financial data, but lacked a unified system that could:
Connect actuals with forecasts in a meaningful way
Surface cash flow risks early, not reactively
Reduce reliance on spreadsheets and manual analysis
Provide explainable, actionable insights rather than static reports
Support confident decision‑making under uncertainty
The core problem was not data availability, it was decision clarity and trust.
Finmetrx was an early‑stage fintech product with strong backend financial logic and AI experimentation, but no cohesive product experience. Core financial calculations, data pipelines, and agent logic existed in isolation, making the system difficult to use, reason about, and scale.
When I joined, the challenge was not designing "another dashboard", but translating raw financial logic, stakeholder knowledge, and technical constraints into a usable, trustworthy product system.
Primary User & Secondary Roles
Primary User & Secondary Roles
Primary user:
Primary user:
Finance Lead / CFO responsible for forecasting accuracy, cash management, liquidity risk, and financial decision‑making.
Finance Lead / CFO responsible for forecasting accuracy, cash management, liquidity risk, and financial decision‑making.
Secondary user:
Secondary user:
Financial Analysts (deep analysis & validation)
Executives (high‑level consumption of insights)
Operators (inputs and operational context)
Financial Analysts (deep analysis & validation)
Executives (high‑level consumption of insights)
Operators (inputs and operational context)
The product experience was intentionally designed around the CFO’s decision‑making needs, while supporting analysts and executives through role‑appropriate views and permissions.
The product experience was intentionally designed around the CFO’s decision‑making needs, while supporting analysts and executives through role‑appropriate views and permissions.
Discovery & Problem Framing
Discovery & Problem Framing
Discovery was conducted through direct collaboration with company leadership and technical stakeholders.
Discovery inputs included:
Working sessions with founders and finance leadership
Raw financial templates, backend logic, and operational assumptions
Competitive review of FP&A and financial intelligence tools
AI‑assisted synthesis to structure complex financial requirements
Rather than formal UX research artifacts, discovery focused on accurately translating domain knowledge into product structure.
Finmetrx was an early‑stage fintech product with strong backend financial logic and AI experimentation, but no cohesive product experience. Core financial calculations, data pipelines, and agent logic existed in isolation, making the system difficult to use, reason about, and scale.
When I joined, the challenge was not designing "another dashboard", but translating raw financial logic, stakeholder knowledge, and technical constraints into a usable, trustworthy product system.
Product Strategy & Design Principles
Product Strategy & Design Principles
The system was guided by the following principles:
The system was guided by the following principles:
Accuracy over abstraction
finance demands correctness
State‑driven design
clarity through explicit data states
Actual vs Forecast parity
both treated as first‑class
Progressive disclosure
complexity revealed when needed
AI as co‑pilot, not black box
explainable and configurable
Decisions over dashboards
insights tied to actions
Accuracy over abstraction
finance demands correctness
State‑driven design
clarity through explicit data states
Actual vs Forecast parity
both treated as first‑class
Progressive disclosure
complexity revealed when needed
AI as co‑pilot, not black box
explainable and configurable
Decisions over dashboards
insights tied to actions
These principles shaped every design decision across the platform.
These principles shaped every design decision across the platform.
System Architecture (High‑Level)
System Architecture (High‑Level)
Financial Performance & Variance Analysis
Financial Performance & Variance Analysis
This section shows how finance leaders move from high-level signals to validation and explanation.
Financial Summary
Financial Summary
The financial summary acts as the CFO’s primary entry point, surfacing key performance indicators, targets, and early signals to assess overall financial health at a glance.
The financial summary acts as the CFO’s primary entry point, surfacing key performance indicators, targets, and early signals to assess overall financial health at a glance.
Income Statement, Actual vs Forecast
Income Statement, Actual vs Forecast
The income statement supports detailed validation, allowing finance leaders to reconcile performance with confidence.
The income statement supports detailed validation, allowing finance leaders to reconcile performance with confidence.
Variance Analysis
Variance Analysis
Variance analysis focuses on explaining deviations rather than simply reporting outcomes, highlighting what changed, why it changed, and where attention is required.
Variance analysis focuses on explaining deviations rather than simply reporting outcomes, highlighting what changed, why it changed, and where attention is required.
AI Agents, Activation & Configuration
AI Agents, Activation & Configuration
Finmetrx includes domain-specific AI agents designed to assist finance teams with analysis, planning, and monitoring. Agents are intentionally configurable to maintain transparency and trust.
The activation flow ensures agents only operate on complete, high-quality data.
Finmetrx includes domain-specific AI agents designed to assist finance teams with analysis, planning, and monitoring. Agents are intentionally configurable to maintain transparency and trust.
The activation flow ensures agents only operate on complete, high-quality data.
Cash Flow, Liquidity & Risk
Cash Flow, Liquidity & Risk
Cash flow management focuses on proactive visibility into liquidity, runway, and risk rather than retrospective reporting.
Key views surface:
Cash position and runway | Working capital metrics | Forecasted risk scenarios | Alerts and recommended actions
Cash flow management focuses on proactive visibility into liquidity, runway, and risk rather than retrospective reporting.
Key views surface:
Cash position and runway | Working capital metrics | Forecasted risk scenarios | Alerts and recommended actions
Design Decisions & Trade-Offs
Design Decisions & Trade-Offs
Anchored the experience around CFO decision-making rather than analyst workflows
Treated forecasts as first-class data despite added complexity
Required explicit AI configuration to maintain trust
Paired alerts with actions to support timely decisions
Anchored the experience around CFO decision-making rather than analyst workflows
Treated forecasts as first-class data despite added complexity
Required explicit AI configuration to maintain trust
Paired alerts with actions to support timely decisions
Constraints & Realities
Constraints & Realities
High accuracy and accountability requirements
Forecast uncertainty
Integration-dependent workflows
Performance constraints for large datasets
These realities informed conservative, clarity-first design choices.
High accuracy and accountability requirements
Forecast uncertainty
Integration-dependent workflows
Performance constraints for large datasets
These realities informed conservative, clarity-first design choices.
Learnings
Learnings
Financial UX is about reducing ambiguity, not simplifying data
Data quality is a user experience problem
AI systems require explainability to build trust
Clear system behavior matters more than visual complexity
Financial UX is about reducing ambiguity, not simplifying data
Data quality is a user experience problem
AI systems require explainability to build trust
Clear system behavior matters more than visual complexity
Outcome & Impact
Outcome & Impact
Finmetrx established a scalable foundation for financial decision-making by unifying performance analysis, forecasting, AI assistance, and cash flow management into a single product experience.
Finmetrx established a scalable foundation for financial decision-making by unifying performance analysis, forecasting, AI assistance, and cash flow management into a single product experience.
Business Impact
Business Impact
Early market validation: 5 companies onboarded in the first week
Reduced reliance on spreadsheets and manual analysis
Clear value proposition for mid-market finance teams
System Impact
System Impact
Unified financial performance, forecasting, and cash flow workflows
Scalable architecture for AI-driven analysis
User Impact
User Impact
Faster understanding of financial health
Improved confidence in forecasts and decisions
Earlier visibility into cash flow risk
Finmetrx reinforced the importance of designing for trust, accuracy, and real-world financial decisions. Rather than optimizing for visual simplicity, the focus was on building a system finance leaders could rely on under pressure.
Finmetrx reinforced the importance of designing for trust, accuracy, and real-world financial decisions. Rather than optimizing for visual simplicity, the focus was on building a system finance leaders could rely on under pressure.
hello.uxbyray@gmail.com
hello.uxbyray@gmail.com
Some projects are password-protected. If you’d like access or a walkthrough, feel free to contact me via email.
Some projects are password-protected. If you’d like access or a walkthrough, feel free to contact me via email.