Rupesh N. Chavan Fintech / AI SaaS 2024

Finance Teams
Shouldn't Fly
Blind

Designing OpenCFO, a real-time AI cash flow platform that transforms how finance teams see, predict, and act on money movement.

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OpenCFO · interface
RoleLead Product Designer
Timeline2024
CategoryFintech / AI SaaS
PlatformWeb Application
+$42k
Cash Flow
This Month
+28%
Q3 Forecast
Revenue
60%↑
Cash Visibility
$2M+
Flows Tracked
5-min
Onboarding
98%
Forecast Accuracy
The problem
Finance teams see cash after it has moved. By the time the report is accurate, the decision it should have informed has passed.
The approach
Make the money visible in real time and put the prediction next to the evidence, so a forecast can be judged rather than believed.
The outcome
A cash-flow platform where finance teams can see, predict and act inside the same surface.
AA
WCAG target
1
Real-time view
1
Forecast surface
1
Action layer
Research Insights

Finance teams were
flying blind

CFOs and finance teams at SMBs were drowning in spreadsheets, disconnected bank feeds, and reactive decision-making. Cash flow. The single most critical metric for business survival, was invisible until it was too late.

There was no intelligent, unified platform that gave real-time cash flow visibility with predictive insights. Especially for SMBs who lacked the enterprise budgets for tools like Anaplan or Adaptive Insights.

OpenCFO's mission was clear: bring financial-grade intelligence to every CFO, regardless of company size. The design challenge was making AI-powered complexity feel effortless.

01 / 03
The Spreadsheet Trap
82% of finance teams still relied on manual spreadsheet reconciliation, causing 15+ hours per week of wasted effort, and introducing compounding errors into critical financial decisions.
02 / 03
Visibility Blindspot
CFOs couldn't see their cash position across all accounts in real-time. Most strategic decisions were being made on week-old data, a dangerous lag in volatile market conditions.
03 / 03
Adoption Barrier
Enterprise finance tools were prohibitively complex and expensive. SMB finance teams needed genuine analytical power without the steep learning curves or six-figure implementation costs.
The Problem
The Opportunity
Cash Flow Intelligence AI Forecasting Financial UX SMB Finance
05 · User Stories

What Users Need

As a... I want to... So that... Priority
CFO See my complete cash position across all accounts in real time I can make strategic decisions on accurate, current data, not last week's export High
Financial Analyst Build and share scenario models collaboratively with version control My team works from a single source of truth without reconciling conflicting spreadsheets High
SMB Owner See my cash runway and burn rate in plain language on a simple dashboard I understand my financial health without needing an accountant to interpret reports High
Finance Team Member Connect our ERP and banking data in under 5 minutes The platform reflects real transaction data from day one without manual data entry Medium
Investor Receive board-ready financial reports automatically generated from live data I get accurate, professionally formatted reports without waiting for monthly cycles Medium
06 · Competitor Analysis

The Market

Feature Mosaic Cube Causal OpenCFO
Real-time Cash Flow ~ ✕ ~ ✓
Scenario Modeling ✓ ✓ ✓ ✓
ERP Integration ✓ ✓ ~ ✓
Automated Reports ✓ ~ ✓ ✓
Collaboration ~ ✓ ✓ ✓
SMB-friendly Pricing ✕ ✕ ~ ✓
Solution Exploration

Three decisions that
defined the intelligence layer.

Financial dashboards routinely make the wrong tradeoffs, favouring completeness over clarity, schema over mental model. The three decisions below shaped how OpenCFO resolved those tensions.

Decision 01
Data-complete dashboard vs. Decision-first hierarchy
Option A. Show all available data, every account, every metric, complete but overwhelming. Users read everything to know what matters.
Option B, Chosen. Decision-first: surface what requires action now, secondary metrics on drill-down. Information hierarchy mirrors CFO's actual priority sequence.
A CFO opening their dashboard at 8am isn't looking for all the data, they're looking for what needs a decision today. Prominence should be proportional to urgency, not to completeness. Every metric at the same visual weight is the same as no hierarchy at all.
Decision 02
Single forecast scenario vs. Three-scenario modeling
Option A. Single AI forecast: simpler to build, cleaner UI, one number to anchor planning discussions
Option B, Chosen. Best case / Base case / Stress test: three scenarios driven by actual transaction patterns, how CFOs actually think about risk
CFOs don't plan for a single future, they plan for a range of outcomes and hedge accordingly. A single forecast number gives false precision. Three scenarios force the CFO to think about tail risk, which is exactly the conversation the product should be enabling.
Decision 03
Real-time alert flood vs. Intelligent anomaly surfacing
Option A. Real-time alerts for every threshold breach: complete but habituating, users learn to dismiss everything
Option B, Chosen. AI anomaly detection: surfaces patterns that deviate from historical baseline, not just threshold breaches, unusual before it's urgent
Alert fatigue is the death of financial monitoring tools. When everything is an alert, nothing is an alert. The value of AI here isn't speed, it's signal-to-noise. Surfaces unusual patterns before they cross any threshold, giving the CFO intervention time that threshold alerts never could.
Final Design

The intelligence layer
finance teams needed

A premium, data-dense interface that respects the CFO's expertise. Presenting complexity in layers, surfacing what matters, and getting out of the way.

opencfo.ai
OpenCFO · Main View

OpenCFO, Cash Flow Intelligence Dashboard

OpenCFO · Screen 2
OpenCFO · Screen 3
OpenCFO · Screen 4
Design Decisions

Built for the
CFO's mindset

Color Tokens
--accent #F59E0B
--accent-secondary #D97706
--bg #090701
--bg2 #0e0c03
--negative #f87171
Components
Primary Action Ghost Variant Status Cleared Status Pending AI Forecast
Typography Scale
48px Display Heading
32px Section Title
14px Body, Financial data narrative text
11px DATA LABEL / CAPTION

Unified Cash Flow Dashboard

Problem
CFOs were reconciling 4-6 banking portals and spreadsheets to understand their actual cash position, a daily 2-hour ritual with no single source of truth.
Approach
Real-time position visualization across all connected accounts in a single unified view. Current balance, inflows, outflows, and 30-day trend in one dashboard.
User Benefit
Cash position understood in seconds. No reconciliation, no tab-switching, no version mismatch between the spreadsheet and the bank.
Business Benefit
Reduced financial close cycle time. Teams that have accurate real-time data make faster, more confident decisions, measurable improvement in capital allocation speed.

AI-Powered Forecasting

Problem
Excel forecasts required 6+ hours to build, were based on assumptions not actuals, and gave no sense of risk range, a single number that was always wrong.
Approach
Three-scenario modeling (best case / base case / stress test) driven by actual transaction patterns and historical seasonality, 98% accuracy against trailing performance.
User Benefit
CFOs plan for a range of futures, not a single point estimate. Risk is visible and manageable rather than hidden in a single number.
Business Benefit
Faster board reporting, better capital allocation, and earlier identification of cash shortfall risk. All contributing to reduced cost of financial operations.

Intelligent Anomaly Alerts

Problem
Threshold-based alerts generate noise, users stop reading them. The unusual pattern that precedes a cash crisis never crosses a threshold until it's too late.
Approach
AI surfaces deviations from historical baseline before any threshold is breached. Unusual before it's urgent, with natural language explanation of what's different and why it matters.
User Benefit
CFOs get intervention time, the ability to act before a pattern becomes a problem. Alert value is high because frequency is low and signal quality is high.
Business Benefit
Earlier working capital optimization leads to measurably lower cost of capital. Prevention is worth more than fast diagnosis.

Progressive Disclosure

Problem
Financial dashboards default to showing all available data simultaneously. Equal visual weight on everything creates analysis paralysis rather than enabling fast decisions.
Approach
Summary first, drill-down on demand. The primary dashboard shows the 5 metrics that drive decisions; full transaction detail and sub-account breakdowns are one click away.
User Benefit
Data-dense without being cluttered. CFOs get what they need at a glance; analysts get the full depth when they need it. Neither user is compromised.
Business Benefit
Faster time-to-insight means faster decisions. When the right information is at the right level, financial teams act. Rather than spending time navigating to find what they need.
Design System

Financial-grade
component library

Measured Outcomes

Design that
moved the needle

These figures reflect the design targets established through CFO interviews and prototype testing, not post-launch production data. They represent the measurable outcomes the information architecture and interaction design were built to achieve.

60%
Cash Visibility Speed
Improvement in time to see full cash position across all accounts.
5 min
Time to First Insight
Average time from account connection to actionable cash flow insight.
WCAG AA Pass
Accessibility Compliant
All data visualisations include non-colour encoding (pattern, label, icon). Making the dashboard usable for colour-blind users, a non-negotiable for enterprise finance tools.
40%
Manual Reconciliation
Reduction in hours spent on manual spreadsheet reconciliation work.
Key Learnings

What this project taught me

01
Information hierarchy is a cognitive problem, not a visual one
What needs to be prominent isn't what's most visually dramatic, it's what triggers the next decision. Designing around the CFO's actual mental model rather than the database schema was the shift that unlocked the entire project. The dashboard tells a story: what's happening, what to do about it, where to dig deeper.
02
Alert fatigue is a design failure, not a user failure
When users stop reading alerts, the instinct is to add urgency. Louder colors, more notifications. The correct response is to reduce volume and increase signal quality. An AI system that interrupts rarely but accurately is worth more than a complete system that interrupts constantly.
03
Financial professionals want range, not precision
Single-number forecasts feel authoritative but are always wrong. Three-scenario modeling felt more honest and was more useful, because it forces the user to think about risk rather than anchoring on a single projection. The truth about the future is a range, and the best financial tools say so explicitly.
04
Domain expertise is not optional in B2B fintech
Every design decision in OpenCFO required understanding how CFOs actually think. Their planning cadence, their reporting obligations, their tolerance for ambiguity. A generalist design process applied to a specialized domain produces a tool that looks right but works wrong. Research in B2B is not optional; it's the product.
Research, personas, flows & the thinking underneath · The long version · 6 sections · the reasoning behind every decision above
"The hardest lesson from OpenCFO was understanding that information hierarchy in financial dashboards isn't a visual problem, it's a cognitive one. The data that needs to be prominent isn't the data that's most visually dramatic. It's the data that triggers the next decision. Designing around the CFO's actual mental model, not the database schema, was the shift that unlocked the whole project."
Rupesh Chavan, Lead Product Designer
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