Accounting

In accounting, the transition from traditional automation (RPA) to Agentic AI represents a move from simply "moving data" to "interpreting and acting on data." While traditional bots can follow a checklist, agentic engines can reason through discrepancies, apply accounting principles to gray areas, and interface with multiple systems to close the books.

Here is how an agentic AI workflow engine transforms the accounting function:

Autonomous Accounts Payable (AP) & Receivable (AR)

Beyond simple OCR (Optical Character Recognition), agentic AI manages the entire lifecycle of an invoice:

  • Exception Resolution: If an invoice doesn't match a purchase order, an agent doesn't just flag it; it can autonomously email the vendor to request a correction or search through shipping manifests to find the missing documentation. 
  • Collections Strategy: AR agents can analyze customer payment history and "tone" in emails to determine the most effective follow-up strategy, choosing between a gentle reminder or an escalated formal notice. 

Intelligent Audit & Compliance

Agentic AI functions as a continuous, 24/7 internal auditor:

  • Transaction Testing: Instead of testing a small sample of transactions, an agent can review 100% of the general ledger. It looks for patterns of fraud, duplicate payments, or entries that bypass standard approval flows. 
  • Regulatory Mapping: Agents can monitor changes in tax laws or accounting standards (like GAAP or IFRS) and suggest necessary adjustments to the chart of accounts or reporting templates to remain compliant. 

Accelerated Month-End Close

The month-end close is often a bottleneck of manual reconciliations. Agentic workflows streamline this by:

  • Intercompany Reconciliations: Agents can log into multiple entities' ERP systems to identify and resolve imbalances in intercompany transfers in real-time. 
  • Accrual Management: By analyzing historical spend and current contracts, the engine can calculate and draft accrual entries, presenting them to the controller for a single-click approval. 

Financial Planning & Analysis (FP&A) Support

Accounting data is only useful if it informs future decisions. Agentic AI bridges the gap between the ledger and the board deck:

  • Variance Analysis: When actual spend exceeds budget, the agent can "drill down" into the sub-ledger, identify the specific department or project responsible, and draft a summary of the cause.
  • Cash Flow Forecasting: By monitoring real-time bank feeds, pending AR, and scheduled AP, the engine creates highly accurate, rolling cash-flow projections that update every hour.
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RPA vs Smorgas AI in Accounting

Task

Traditional RPA (The Bot)

Smorgas

Data Entry

Legacy Inventory Systems

Copies data from PDF to ERP

Smorgas

Categorizes expenses based on tax-code logic

Reconciliation

Legacy Inventory Systems

Flags if “x” does not equal “y”

Smorgas

Investigates why “x” does not equal “y” and proposes a fix

Expense Reports

Legacy Inventory Systems

Checks if a receipt is attached

Smorgas

Detects if a “dinner” was actually a personal expense

Inquiries

Legacy Inventory Systems

Sends a template email

Smorgas

Engages a back-and-forth dialogue to solve a query

Strategic Value

By implementingSmorgas AI, accounting departments shift from being a "back-office cost center" to a strategic partner. Smorgas AI handles the repetitive, high-volume "detective" work, allowing CPAs and finance leaders to focus on capital allocation, tax strategy, and business growth.