Financial Planning & Analysis

Variance Analysis Agent

Compares budget to actuals by division and explains the root cause of every material variance.

All agents Next: Invoice & AP

An example conversation with the agent

AI Impact

61%

Less time on data gathering

33%

Faster budget cycles

30%

FTEs redeployed to analysis

Key Capabilities

Variance Decomposition

Breaks variances into price, volume, and mix components

Margin Bridge

Builds visual margin walk from plan to actual

Trend Analysis

Identifies structural vs. timing variances

Management Commentary

Auto-generates variance narratives for leadership

Scenario

Aisha Binti Yusof, Senior FP&A Analyst

YTD revenue S$47M below plan — root cause analysis needed

Precision Assemblies: S$30M below plan — 70% volume (ASEAN automotive delays), 30% price (China discounting), trend deteriorating

“Break down the Precision Assemblies shortfall — is it volume, price, or mix?”

Semiconductor Components: S$15M gap, but S$10M is timing — orders slipped from Q3 into Q4, not structural

“Is the Semiconductor Components gap structural or will it reverse in Q4?”

Specialty Materials: revenue on plan, but margin collapsed 3.2pp (33.0% → 29.8%) — 2.4pp commodity spike, 0.8pp mix shift building for three months

“What's driving the 3.2pp margin collapse in Specialty Materials?”

Actual Financial Results — 156,420 Records

Monthly and quarterly actual results by account, cost center, and business unit for variance comparison

Field	Description
Account Code	GL account number (revenue, COGS, OpEx, CapEx)
Period	Fiscal month or quarter (e.g., Jan 2025, Q1 FY2025)
Business Unit	Reporting segment or division
Actual Amount	Recorded financial result in reporting currency

Variance Categories

Category	Description
Volume	Differences driven by quantity sold or produced
Price / Rate	Differences driven by pricing or cost rate changes
Mix	Differences from product or channel mix shifts

Budgets & Forecasts — 42,860 Records

Approved budget plans and rolling forecasts by account, period, and business unit for comparison against actuals

Field	Description
Plan Type	Annual Budget, Rolling Forecast, Latest Estimate
Account Code	GL account mapped to the budget line
Period	Budget period with version tracking
Planned Amount	Approved or forecasted amount in reporting currency

Cost Center Data — 12,480 Records

Departmental spending with budget owners, allocation hierarchies, and headcount drivers

Field	Description
Cost Center	Department code and name (e.g., CC-4200 Engineering)
Budget Owner	Responsible manager for the cost center
Expense Category	Personnel, Travel, Technology, Facilities, Professional Services
Headcount	Planned vs. actual FTE count driving personnel costs

KPI Targets — 5,640 Records

Key performance indicator targets and actuals used for variance monitoring and executive dashboards

Field	Description
KPI Name	Metric identifier (e.g., Gross Margin %, Revenue Growth, OpEx Ratio)
Target Value	Board-approved or management target
Actual Value	Current period performance
Variance	Absolute and percentage deviation from target

compute_variance

Calculate variances between actuals and budget or forecast for any combination of accounts, periods, and business units.

Input

account_code period business_unit plan_type

Output

Variance report with absolute and percentage deviations, favorable/unfavorable classification

decompose_drivers

Break down variances into volume, price, mix, and timing components to identify root causes of deviations.

Input

variance_id decomposition_type granularity

Output

Driver waterfall with quantified impact of each component on total variance

rank_cost_centers

Rank cost centers by variance severity, identify repeat offenders, and surface departments requiring management attention.

Input

period threshold_pct sort_by limit

Output

Ranked list of cost centers with variance amounts, trends, and budget owner details

search_variances

Query and filter variance records by account, period, magnitude, and classification for detailed investigation.

Input

account_code min_variance classification period

Output

Filtered variance records with amounts, percentages, and root cause classifications

assess_forecast_accuracy

Measure forecast accuracy over multiple periods, detect systematic bias, and recommend calibration adjustments.

Input

line_item lookback_quarters business_unit

Output

Accuracy metrics (MAPE, bias), trend analysis, and model improvement recommendations

generate_variance_report

Produce a structured variance commentary report for management review with narratives, charts, and action items.

Input

period scope audience

Output

Executive variance summary with key drivers, corrective actions, and updated outlook

Variance AnalysisMeridian Industries · November close

Example