Procurement Automation Case Study: From SAP Ariba to Sage with UiPath RPA

Procurement Automation Case Study: From SAP Ariba to Sage with UiPath RPA

Executive Summary

This procurement automation case study examines how a UAE-based agribusiness automated its purchase order process between SAP Ariba and Sage ERP using UiPath RPA. The client processed an average of 200 purchase orders per day, requiring procurement teams to manually retrieve PO data, enter information into Sage, manage PO changes and closures, and create files for reconciliation in SAP Ariba.

The automation replaced repetitive manual work with an unattended UiPath workflow that extracted data from SAP Ariba, consolidated multiple files, created and updated POs in Sage, captured PO IDs and exceptions, and generated the required import files. The result was a reported 70% reduction in processing time, 100% transaction accuracy, better exception handling, and the redeployment of resources to higher-value work.

The Challenge

Manual PO Processing Across Systems

Purchase order processing can become highly resource-intensive when procurement teams have to move information manually between procurement platforms and ERP systems. For this UAE-based agribusiness, the daily process involved SAP Ariba as the procurement and supply chain platform and Sage as the ERP system. The organization handled an average of 200 purchase orders per day.

More than 100 PO requests were managed through SAP Ariba. For each process, FTEs had to log into Ariba, retrieve the relevant information, and export data for creating, closing, or changing purchase orders.

The exported information was divided across three separate files:

The procurement team then had to log into Sage, locate the information belonging to each PO across all three files, and manually enter the required values into different Sage fields and screens.

The work did not end after the PO was created. Employees also had to generate three separate output files containing error information, PO IDs, and header information in a specific format required for import back into SAP Ariba. This created several operational challenges. Manual data entry increased the possibility of errors or skipped transactions. Processing large PO volumes consumed significant employee time, while moving information between SAP Ariba, Excel files, and Sage made the workflow difficult to scale and limited spend visibility across procurement operations.

The process also required employees to monitor failures and exceptions manually. As PO volumes increased, the procurement team faced a choice between accepting longer processing times or dedicating additional FTE capacity to repetitive administrative work.

The organization needed a way to automate the repetitive steps without replacing its existing procurement and ERP platforms.

The Solution

UiPath RPA for SAP Ariba to Sage Automation

The solution used UiPath RPA to connect the existing SAP Ariba and Sage workflows without requiring a complete replacement of either platform. The automation was designed around the existing process while removing repetitive manual activities.

Step 1: Retrieve PO data from SAP Ariba

The UiPath bot logs into SAP Ariba and retrieves the relevant purchase order data. Depending on the process type, the bot identifies POs that need to be created, updated, or closed.

Instead of employees repeatedly logging into Ariba and downloading files manually, the robot performs the data retrieval according to the configured workflow.

Step 2: Read and consolidate the exported files

SAP Ariba provides the PO information across three files containing header, order detail, and line-level information.

The bot reads all three files and consolidates the required information into a structured dataset for Sage. This eliminates the need for an employee to manually search across multiple spreadsheets to find the information needed for a single purchase order.

Step 3: Prepare the Sage transaction

The robot processes the consolidated data and navigates through the Sage ERP environment. It enters the required information into the relevant Sage fields and screens to create, update, or close the purchase order. This is the core of the SAP Ariba automation workflow: information originating in Ariba is automatically transformed into a format that Sage can process.

Step 4: Capture the Sage PO ID

After the transaction is processed, the automation checks the Sage result. When a PO is successfully created, the bot captures the corresponding Sage PO ID. This identifier is then stored in the appropriate output file so that the transaction can be reconciled back to its originating SAP Ariba PO.

Step 5: Handle errors and exceptions

Not every transaction will necessarily process successfully. Instead of stopping the entire workflow when an issue occurs, the automation identifies unsuccessful transactions and records the relevant error information. The bot separates successful and unsuccessful transactions and generates the required error files for further review. This allows human employees to focus on exceptions rather than checking every PO manually.

Step 6: Create SAP Ariba import files

After processing the transactions in Sage, the bot generates the required output files, including the PO ID, header, and error files, using the specific structure expected by SAP Ariba. These files are then imported back into SAP Ariba, creating a traceable connection between the original Ariba PO and its corresponding Sage transaction.

Step 7: Monitor the automated process

Human intervention is limited primarily to exception handling, environment access, and monitoring. Activity logs provide visibility into the robot’s execution, while employees can review reports and investigate transactions requiring attention. This approach demonstrates how UiPath procurement automation can connect applications that were not originally designed to operate as one automated workflow. The resulting P2P automation model reduces repetitive data movement while keeping the existing SAP Ariba and Sage systems in place.

Results: Before and After

he automation significantly reduced the amount of manual work involved in processing purchase orders. The original case study reports a 70% reduction in processing time and 100% accuracy in transactions, along with improved exception handling and the redeployment of resources to more productive work.
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Result
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The biggest operational benefit was the removal of repetitive data entry. Instead of spending time copying information between SAP Ariba, Excel, and Sage, procurement employees could focus on exceptions, supplier coordination, analysis, and other higher-value activities.

The automated workflow also reduced the likelihood of skipping transactions and improved processing consistency.

For organizations handling growing purchase-order volumes, the solution creates a scalable foundation for purchase order automation. Once the workflow is established, additional transaction volume can be processed by the robot without requiring the same proportional increase in manual processing capacity.

What This Means for P2P & Procurement Teams

For procurement and shared services teams, this case demonstrates that P2P transformation does not always require replacing existing systems. Organizations can automate the movement of information between procurement platforms and ERPs while retaining their current technology stack.

The SAP Ariba-to-Sage workflow is a practical example of how P2P automation can eliminate repetitive work across the purchase-to-pay lifecycle.

Procurement teams can apply the same approach to processes such as: 

A broader procure-to-pay automation strategy can connect these individual workflows into an end-to-end process.

The key is to identify where employees repeatedly retrieve information from one application, transform it, and manually enter it into another. These repetitive handoffs are often strong candidates for automation.

Organizations can also combine RPA with ERP integration services when deeper system connectivity is required.

For more complex procurement environments, UiPath professional services can help organizations assess processes, build automation, manage deployment, and establish a scalable automation program.  

How to Get Started

Procurement automation should begin with the process rather than the technology.

Step 1: Map the PO workflow

Document every step from PO request and retrieval through ERP processing, reconciliation, and exception handling.

Step 2: Quantify the workload

Measure PO volumes, processing time, manual touchpoints, error rates, and employee effort.

Step 3: Identify automation candidates

Prioritize repetitive, rules-based activities such as data extraction, PO creation, updates, file generation, and reconciliation.

Step 4: Build a proof of concept

Automate a representative portion of the workflow using UiPath and validate the business case before expanding.

Step 5: Scale

Once the automation is stable, extend it to additional procurement processes and transaction volumes. Connecting procurement automation with AP automation services can further extend efficiency across the P2P lifecycle.

Automate Your Procurement Operations

Manual PO processing creates unnecessary work when employees are repeatedly moving the same information between procurement and ERP systems. Intelligent enterprise automation can help automate these workflows to reduce processing time, improve accuracy, and allow procurement teams to focus on activities that require human judgment. 

Ready to automate your procurement and P2P processes? Book a discovery call to identify high-impact automation opportunities across your procurement operations.

FAQ

Can UiPath automate SAP Ariba processes?

Yes. UiPath can automate repetitive SAP Ariba activities such as logging in, retrieving PO data, exporting files, processing information, and generating import files. In this case, UiPath was used to automate the workflow between SAP Ariba and Sage ERP. The robot retrieved PO information from Ariba, processed the required data, interacted with Sage, captured results, and generated files for import back into Ariba.

RPA acts as an automation layer between the two applications. In this implementation, the bot retrieves data from SAP Ariba, reads and consolidates the three exported PO files, enters the required information into Sage, captures the resulting PO ID or error, and creates structured files that can be imported back into SAP Ariba. This approach allows the two systems to participate in a connected workflow without requiring a complete replacement of either application.

RPA can automate many repetitive procurement activities, including:

  • Purchase order creation
  • PO updates and closures
  • Supplier data entry
  • Data extraction
  • PO reconciliation
  • ERP updates
  • File generation
  • Exception identification
  • Procurement reporting
  • Status updates


The best candidates are generally high-volume processes with predictable rules and frequent manual data movement. 

Implementation time varies depending on process complexity, application environments, transaction volumes, exception scenarios, and integration requirements.

A practical approach is to begin with process assessment and a proof of concept. The original implementation followed an assessment, proof-of-concept, development, testing, and production deployment approach.

Starting with one high-volume workflow can help organizations validate ROI before expanding automation across the wider procurement function.

P2P automation can reduce manual processing, improve transaction accuracy, accelerate purchase order processing, strengthen exception handling, and free procurement employees for higher-value work.

It can also provide better process visibility through activity logs and standardized workflows.

When combined with spend visibility, procurement teams can move beyond transaction processing and gain greater insight into purchasing patterns, supplier activity, and organizational spending. 

Yes. RPA workflows can be designed to identify transactions that fail predefined validation or processing rules and route them for human review.

In this case, the bot captured unsuccessful transactions and generated error files in the format required by SAP Ariba. This allowed employees to focus on exceptions instead of manually reviewing every purchase order.

For more complex scenarios, RPA can be combined with AI and intelligent enterprise automation to classify exceptions, prioritize cases, and support more adaptive procurement workflows.