An AI agent that automates the collection of Profit & Loss (P&L) data from various subsidiaries, business units, or reporting entities. The agent performs necessary transformations such as chart of accounts mapping, currency translation, identifies and processes intercompany eliminations affecting revenue and expenses, and generates a preliminary consolidated P&L statement for management review and external reporting.
P&L trial balances or detailed account activity from all reporting entities, Group chart of accounts and mapping rules, Historical and current period exchange rates (average, closing).
Draft Consolidated and Validation Reports, Supporting schedules for eliminations, currency translation adjustments, and other consolidation adjustments.
ERP System (SAP, Oracle NetSuite, Microsoft Dynamics 365), Microsoft Excel (for data uploads or ad-hoc analysis)
High potential for costly errors from manual data handling.
Significant time and resources are spent on repetitive, low-value work.
The manual process is difficult to scale without increasing headcount.
Process bottlenecks lead to delays and missed deadlines.
extract the P&L trial balances or detailed P&L account activity for the reporting period.
Utilizes a predefined mapping table within respective applications to translate local P&L account codes to the group's standardized chart of accounts.
Retrieves period-average and closing exchange rates from an internal Treasury System or the ERP System
Identifies intercompany transactions impacting P&L accounts (e.g., intercompany sales, cost of goods sold on intercompany sales, intercompany service fees, interest income/expense) based on predefined trading partner details and specific intercompany accounts
a) Generates a draft consolidated P&L statement, including subtotals (e.g., Gross Profit, Operating Income, Net Income). b) Performs validation checks, such as comparing consolidated totals to the sum of individual entity submissions (pre-elimination), checking for large unexplained variances compared to budget or prior periods, and ensuring eliminations balance.
Prepares summary reports, variance analyses (Actual vs. Budget, Actual vs. Prior Year)
Dramatically reduce the time and manual effort required to complete the process.
Eliminate human error to ensure data integrity and reduce financial risk.
Free your team from monotonous tasks, allowing them to focus on strategic work that requires their expertise.
Handle growing volumes of work without a proportional increase in operational costs.
Maintain a complete, auditable trail of every action the AI agent takes, described in plain English.
This use case solution follows these general steps at a high level: