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

Macro Trends - Regional Anomaly Overview

Executive-level geographic trend analysis showing global anomaly distribution with regional heatcards, GSV impact %, criticality counters, active trend tracking, and risk forecasts for strategic planning.

Macro Trends - Regional Anomaly Overview

Executive-level geographic trend analysis showing global anomaly distribution with regional heatcards, GSV impact %, criticality counters, active trend tracking, and risk forecasts for strategic planning.

Executive-level geographic trend analysis showing global anomaly distribution with regional heatcards, GSV impact %, criticality counters, active trend tracking, and risk forecasts for strategic planning.

Insights Hub - Strategic Analytics Dashboard

P&L analytics platform with curated insights, performance waterfalls, and multi-dimensional filters. Features “Top 10 Insights” with narratives, visual P&L overviews of GSV performance, and deep-dive tables by market, category, and brand for strategic decisions.

Insights Hub - Strategic Analytics Dashboard

P&L analytics platform with curated insights, performance waterfalls, and multi-dimensional filters. Features “Top 10 Insights” with narratives, visual P&L overviews of GSV performance, and deep-dive tables by market, category, and brand for strategic decisions.

Root Cause Analysis - Detailed Anomaly Investigation
Root Cause Analysis - Detailed Anomaly Investigation

Anomaly explanation interface for Walmart MAC analysis featuring KPI summaries, trend visualizations, AI insights on mix shifts and cost drivers, SKU-level impact analysis, and a detailed evidence table for investigation.

Anomaly explanation interface for Walmart MAC analysis featuring KPI summaries, trend visualizations, AI insights on mix shifts and cost drivers, SKU-level impact analysis, and a detailed evidence table for investigation.

Anomaly explanation interface for Walmart MAC analysis featuring KPI summaries, trend visualizations, AI insights on mix shifts and cost drivers, SKU-level impact analysis, and a detailed evidence table for investigation.

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

Crafted with love.

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