Auto-detects and corrects PO/price/qty mismatches, reducing invoice blocks and accelerating payment cycles.
KTern.AI Exception handling agent reducing the manual effort in SAP and increasing the productivity
Most SAP-driven enterprises struggle with thousands of exceptions every day across Finance, Procurement, Sales, and Production. These exceptions—such as unmatched invoices, blocked sales orders, posting failures, missing master data, price mismatched —interrupt business processes and require intensive manual investigation.
Exception queues keep growing because organizations rely on manual, reactive, and error-prone processes. Business users must jump across multiple SAP transactions, tables, logs, and emails to identify root causes and determine the correct fix. This results in :
Slow turnaround times
High operational cost
Revenue leakage and financial risk
Dependency on a few experts
Poor visibility into business impact
Large backlogs that delay payments, deliveries, and period closure
Introducing KTern Exception Handling Agent
The KTern Exception Handling Agent - an AI-powered autonomous system designed to transform SAP exception management from a reactive, manual task into a proactive, intelligent process. The purpose is to monitor SAP transactions and logs in real time during the exceution time to detect potential exceptions or anomalies across SAP Business process modules without human intervention. Once an exception is detected, the agent performs automated root-cause analysis by cross-checking SAP tables, transaction histories, and business context using advanced AI techniques.
KTern.AI Exception Handling Agent solves many real-world exceptions that enterprises face every day.
| Use Case | Core SAP Problem | Exception and its impact | KTern.AI Agent - Benefit |
|---|---|---|---|
| Invoice / PO / GR Match | 3-way match failures | Payment delays and supplier disputes due to missing or incorrect PO details | |
| Customer Payment Processing | Payments not matched to invoices | Invoice processing bottlenecks and higher rejection rates from incorrect references | Automatically identifies and fixes missing or wrong invoice references through intelligent linking. |
| Sales Order Entry | Orders fail to create | Revenue leakage and blocked orders caused by missing data and invalid SKUs | Reduces order blocks and accelerates fulfilment by validating SKUs and credit limits upfront. |
| PO Confirmation | Contract compliance check | Pricing and contract violations from manual umbrella-contract checks | Reduces revenue leakage and contract violations through precise, automated term validation. |
| Cash Forecasting | Disconnected financial data | High operational effort and error-prone reconciliations from spreadsheet dependency | Builds forecast models from SAP landscape data to improve efficiency and optimize future operations. |
| Period End Close | Manual reconciliations | Slow turnaround time and increased processing cost due to fragmented SAP steps | Reduces cost and improves accounting speed by automating exception detection and resolution |
Below is a real-world example showcasing how KTern.AI connects to the customer’s SAP system and accelerates the exception handling process
Use Case : Invoice Matching Exceptions Process with KTern.AI:
- Every day, a company receives thousands of invoices from vendors, and the ERP system tries to match each invoice with a Purchase Order (PO) and Goods Receipt (GR).
- When the details match, the invoice is paid automatically, but when information is missing or incorrect—such as a missing PO number, wrong PO number, or price and quantity mismatches—the invoice moves to an exception queue.
- The exception user , had to spend a lot of time manually searching in the ERP for the correct PO, contacting vendors or buyers for missing details, and finally updating the system to post the invoice. This manual, repetitive work slows down processing, increases delays, and creates a large backlog of unmatched invoice
Seamless connection with system and quick analysis : KTern.AI – Invoice Exception Agent connects to the system, analyses all exceptions, classifies the high-priority cases, identifies the financial impact, and displays the timestamp of the last analysis.
Deep Root Cause Analysis in SAP Context : KTern Invoice Exception Agent quickly scans the records, identifies the reason for the exception, and provides a clear explanation to identify the user about the exception managed in the system.
Automated Remediation & Recommendations : The auto remediation process suggests and corrects the affected SAP objects in the system due to which the exception handling can be fixed and the time to find and fix the exception got saved.
Business value and outcomes:
KTern.Ai Exception Handling Agent reduces manual exception resolution effort by up to 80%, cuts resolution time from days to minutes, saves millions in prevented financial risks, and decreases recurring exceptions by 40% through predictive AI-driven remediation
Reference Blog
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