Client Context
A large membership-based organisation managing high volumes of incoming invoices faced inefficiencies in its accounts payable process. Invoices were received via email and required multiple manual steps for processing, creating operational bottlenecks and delays.
The client needed a solution to streamline invoice handling, improve accuracy, and reduce reliance on manual intervention while ensuring timely processing for Accounts Payable.
The Challenge
The client’s invoice processing workflow faced multiple operational inefficiencies:
- Emails required manual cleaning of subject lines before processing in ABBYY
- Data extracted from ABBYY needed manual matching with reference files
- Processed invoices were manually forwarded to Accounts Payable
- Exceptions required separate manual handling, causing delays
- Overall workflow was time-consuming, inefficient, and relied heavily on staff availability
The Solution
Blackbook AI delivered an end-to-end automated invoice workflow:
- RPA bots cleaned email subject lines and routed emails to ABBYY for data extraction
- ABBYY output files were automatically matched with reference files by RPA bots
- Processed invoices were automatically forwarded to Accounts Payable
- Exceptions were flagged for manual handling where necessary, ensuring timely resolution
- Automation removed repetitive manual tasks and streamlined the entire workflow
The Outcome
Faster Processing: Invoice handling was accelerated, reducing overall processing time
- Backlog Reduction:
Significant reduction in pending invoices enabled timely Accounts Payable operations - Cost Savings:
Automation lowered Full-Time Equivalent (FTE) costs by reducing manual effort - Improved Accuracy:
Data extraction and matching errors were minimised - Enhanced Exception Handling:
Streamlined identification and management of exceptions reduced errors and processing delays
Client Context
A large membership-based organisation managing high volumes of incoming invoices faced inefficiencies in its accounts payable process. Invoices were received via email and required multiple manual steps for processing, creating operational bottlenecks and delays.
The client needed a solution to streamline invoice handling, improve accuracy, and reduce reliance on manual intervention while ensuring timely processing for Accounts Payable.
The Challenge
The client’s invoice processing workflow faced multiple operational inefficiencies:
- Emails required manual cleaning of subject lines before processing in ABBYY
- Data extracted from ABBYY needed manual matching with reference files
- Processed invoices were manually forwarded to Accounts Payable
- Exceptions required separate manual handling, causing delays
- Overall workflow was time-consuming, inefficient, and relied heavily on staff availability
The Solution
Blackbook AI delivered an end-to-end automated invoice workflow:
- RPA bots cleaned email subject lines and routed emails to ABBYY for data extraction
- ABBYY output files were automatically matched with reference files by RPA bots
- Processed invoices were automatically forwarded to Accounts Payable
- Exceptions were flagged for manual handling where necessary, ensuring timely resolution
- Automation removed repetitive manual tasks and streamlined the entire workflow
The Outcome
Faster Processing: Invoice handling was accelerated, reducing overall processing time
- Backlog Reduction:
Significant reduction in pending invoices enabled timely Accounts Payable operations - Cost Savings:
Automation lowered Full-Time Equivalent (FTE) costs by reducing manual effort - Improved Accuracy:
Data extraction and matching errors were minimised - Enhanced Exception Handling:
Streamlined identification and management of exceptions reduced errors and processing delays
