P&L Anomaly Detection Engine
P&L Anomaly Detection Engine
P&L Anomaly Detection Engine
B2B, UI/UX
2025


The P&L Anomaly Detection Engine is a sophisticated financial monitoring system designed to help finance teams identify unusual patterns, errors, and potential fraud in profit and loss statements through AI-powered anomaly detection. The system serves CFOs, FP&A analysts, and finance managers who need to ensure accurate financial reporting and prevent revenue leakage.
Problem Statement
Finance teams across organizations struggle with manual P&L analysis, leading to delayed detection of financial anomalies that can cost companies millions in revenue leakage.
Current Process
• Time-consuming: Manual review of financial statements takes 40+ hours per month
• Error-prone: Human analysis misses 60% of subtle anomalies
• Reactive: Issues discovered weeks after occurrence, limiting corrective action
• Lack of context: No clear explanation of why something is flagged as anomalous
Business Impact
Research shows that companies without automated anomaly detection experience:
• 3-5% annual revenue leakage from undetected errors
• 75% longer investigation times for financial discrepancies
• Increased compliance risks and audit findings
• Reduced confidence in financial reporting accuracy
Research shows that companies without automated anomaly detection experience:
• 3-5% annual revenue leakage from undetected errors
• 75% longer investigation times for financial discrepancies
• Increased compliance risks and audit findings
• Reduced confidence in financial reporting accuracy
Research shows that companies without automated anomaly detection experience:
• 3-5% annual revenue leakage from undetected errors
• 75% longer investigation times for financial discrepancies
• Increased compliance risks and audit findings
• Reduced confidence in financial reporting accuracy
Contribution
Research, UI/UX Design, Prototypes
Team
Designer, Project Manager, Tech Lead
Duration
3 Weeks
We aimed to give finance professionals clarity and control over their numbers:
We aimed to give finance professionals clarity and control over their numbers:
How might we empower finance professionals to confidently identify and resolve P&L anomalies by making insights transparent, contextual, and actionable so they can prevent revenue leakage and ensure accurate reporting?
How might we empower finance professionals to confidently identify and resolve P&L anomalies by making insights transparent, contextual, and actionable so they can prevent revenue leakage and ensure accurate reporting?
How might we empower finance professionals to confidently identify and resolve P&L anomalies by making insights transparent, contextual, and actionable so they can prevent revenue leakage and ensure accurate reporting?
Pain Points
Pain Points
Black-box alerts erode trust as users lack visibility into why they’re triggered or how to act on them
The absence of a unified workflow from alert to resolution causes inefficiencies and tracking gaps
Frequent false positives create alert fatigue, leading users to ignore critical issues
Executives need quick, mobile insights, while analysts require deeper, data-rich desktop tools
Black-box alerts erode trust as users lack visibility into why they’re triggered or how to act on them
The absence of a unified workflow from alert to resolution causes inefficiencies and tracking gaps
Frequent false positives create alert fatigue, leading users to ignore critical issues
Executives need quick, mobile insights, while analysts require deeper, data-rich desktop tools
Objectives
Objectives
Detect, investigate, and resolve anomalies using explainable AI for greater trust and clarity
Reduce investigation time and minimize alert fatigue through intelligent prioritization and automation
Deliver mobile-friendly executive summaries for quick, informed decision-making on the go.
Ensure audit-ready traceability and compliance with a transparent, end-to-end workflow.
Detect, investigate, and resolve anomalies using explainable AI for greater trust and clarity
Reduce investigation time and minimize alert fatigue through intelligent prioritization and automation
Deliver mobile-friendly executive summaries for quick, informed decision-making on the go.
Ensure audit-ready traceability and compliance with a transparent, end-to-end workflow.
Discovery & Research
Discovery & Research
Methods:
Methods:
Stakeholder interviews and contextual inquiry with CFOs, FP&A, Finance Managers
Stakeholder interviews and contextual inquiry with CFOs, FP&A, Finance Managers
Stakeholder interviews and contextual inquiry with CFOs, FP&A, Finance Managers
01
Surveys to quantify needs and feature priorities
Surveys to quantify needs and feature priorities
Surveys to quantify needs and feature priorities
02
Competitive analysis of financial analytics tools and anomaly detection UX patterns
Competitive analysis of financial analytics tools and anomaly detection UX patterns
Competitive analysis of financial analytics tools and anomaly detection UX patterns
03
Synthesis into personas, journey maps, and service blueprints
Synthesis into personas, journey maps, and service blueprints
Synthesis into personas, journey maps, and service blueprints
04
Discover Intuitive Designs
Discover Intuitive Designs
Discover Intuitive Designs



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Appreciate you taking the time to dive into my work!
Appreciate you taking the time to dive into my work!
Appreciate you taking the time to dive into my work!
To learn more about my work and approach, get in touch at ultimatebhavya@gmail.com
To learn more about my work and approach, get in touch at ultimatebhavya@gmail.com
To learn more about my work and approach, get in touch at ultimatebhavya@gmail.com
I doodle in deadlines
I doodle in deadlines
I doodle in deadlines
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