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Absa has deployed an artificial intelligence and Optical Character Recognition (OCR) solution within its Debt Review operations, cutting document-processing times and reducing the amount of manual work required from employees.
Since the system went live in late June, the bank says document indexing efficiency has improved by 41%, with new documents and emails now processed within a one-day turnaround time.
Debt review is typically a document-heavy process, requiring information from multiple providers to be received, classified, captured and processed before a case can move forward. Much of this work has traditionally been handled manually, creating administrative pressure and increasing the risk of delays and human error.
Absa’s new OCR/AI Gateway automates the extraction and capture of information from standard document types. The system identifies relevant information and feeds it into the debt review workflow, reducing the need for employees to manually index and capture documents.
The bank says the platform is also designed to support more complex document types as its automation capabilities expand.
Kendrick Chauke, Absa National Manager for Debt Review, said the technology has changed how the team handles repetitive administrative work.
“The introduction of an AI/OCR solution in the Debt Review team has enabled us to automate manual processes and improve operational efficiency,” he said.
Chauke noted that employees initially questioned how the technology would affect their jobs. However, Absa says the implementation has focused on using automation to remove repetitive tasks rather than replace employees.
According to Chauke, staff can now spend more time on activities requiring judgement, expertise and customer engagement.
The development could also have a direct impact on consumers going through debt review, where delays in processing documents can slow down the overall process.
Robert Benvenuti, Absa Chief Information Officer for Data & Applied AI, said the project forms part of the bank’s wider use of artificial intelligence to improve operational performance.
“These enhanced capabilities mark a significant step forward in Absa’s commitment to using AI technology to improve customer outcomes and drive operational excellence,” he said.
Artificial intelligence and intelligent document-processing tools are becoming increasingly important within financial services, particularly in areas where banks handle large volumes of structured and unstructured information.
For Absa, the Debt Review deployment provides a practical example of how AI can be applied to back-office operations while keeping employees involved in more complex decision-making.
The bank says it will continue identifying opportunities to extend automation across its operations as it expands its use of AI and data-driven technologies.
//Staff writer