ABBYY Vantage

PROCESS UNDERSTANDING
PROCESS OPTIMIZATION
ABBYY AI
BY INDUSTRY
BY BUSINESS PROCESS
BY TECHNOLOGY
Explore
Insights
Implementation
A distinguished title awarded to developers who demonstrate exceptional expertise in ABBYY AI.
CASE STUDY | HEALTHCARE
Manchester University NHS Foundation Trust (MFT) is one of the largest acute trusts in the UK, operating 10 hospitals and employing over 20,000 staff. With smooth, reliable communication between ABBYY IDP and its ERP system, MFT has reduced invoice processing time and freed its staff to focus on other business-critical areas.
Edd Berry, Director of Finance Innovation, Manchester University NHS Foundation Trust
MFT processes around 275,000 invoices a year from approximately 6,000 live suppliers, with thousands of different types of invoices. It planned to further automate invoicing by feeding information from its existing IDP solution to its ERP system, enabled by robotic process automation (RPA). However, manual effort was still required between the systems due to IDP inaccuracies and inconsistencies that could not be processed by the RPA tool.
MFT needed to find an IDP solution that could:
ABBYY IDP identifies relevant invoice data, even in the most complex documents, with the highest accuracy. The RPA tool can now successfully pass it to the ERP system.
ABBYY IDP allows MFT to apply advanced functions across an entire set of invoices instead of repeating rules on each.
Staff can now build a skill with low—even no— code, leveraging pre-built extraction models and standardized business rules. ABBYY IDP learns from manual document validation, so time spent on training and validating invoices is continually reduced.
The consistent and reliable results achieved with invoice automation has given MFT confidence about extending this automation to processes beyond invoices.
Edd Berry, Director of Finance Innovation, Manchester University NHS Foundation Trust
MFT processes around 275,000 invoices a year from approximately 6,000 live suppliers, with thousands of different types of invoices. It planned to further automate invoicing by feeding information from its existing IDP solution to its ERP system, enabled by robotic process automation (RPA). However, manual effort was still required between the systems due to IDP inaccuracies and inconsistencies that could not be processed by the RPA tool.
MFT needed to find an IDP solution that could:
ABBYY IDP identifies relevant invoice data, even in the most complex documents, with the highest accuracy. The RPA tool can now successfully pass it to the ERP system.
ABBYY IDP allows MFT to apply advanced functions across an entire set of invoices instead of repeating rules on each.
Staff can now build a skill with low—even no— code, leveraging pre-built extraction models and standardized business rules. ABBYY IDP learns from manual document validation, so time spent on training and validating invoices is continually reduced.
The consistent and reliable results achieved with invoice automation has given MFT confidence about extending this automation to processes beyond invoices.