Intelligent Document Processing (IDP) is a technology that uses machine learning and artificial intelligence to extract, process and understand information from unstructured documents. IDP enables companies to automatically process large volumes of documents, such as invoices, contracts or forms. Instead of manually reviewing these documents, IDP systems can analyse texts, identify relevant data and convert it into structured formats. By automating the document processing workflow, companies can work more efficiently, save time and reduce errors. IDP can be used across various industries and use cases.
For banks, which are faced with a flood of documents every day, Intelligent Document Processing represents a huge opportunity to increase efficiency, improve customer satisfaction and ensure compliance. In this article, we look at five key applications (use cases) of the technology and highlight the opportunities arising from the use of Intelligent Document Processing in banking.
5 Use Cases
1. Automated lending
The use of Intelligent Document Processing and artificial intelligence can automate and thus significantly accelerate the loan application process in banks. Incoming document stacks and applications are separated and classified by document type using an IDP tool. In the next step, specialised data extraction enables data to be read from, for example, payslips, tax assessments or identity documents.
This process not only reduces the processing time for loan applications and streamlines the entire internal process, but also results in a lower rate of manual errors and contributes to improving customer satisfaction.
2. Digital customer onboarding processes
Intelligent Document Processing can also make a significant contribution to automating the account opening and customer onboarding process.
The technology makes it possible to automatically capture and verify customer documents such as identity documents and proof of income, considerably accelerating the entire onboarding process. In this way, the technology supports the efficient fulfilment of Know Your Customer (KYC) requirements. This reduces the processing time for new customer applications and enables banks to offer their customers faster account opening.
3. Fraud prevention and compliance
In addition to simplifying KYC processes, intelligent document processing also contributes to meeting further compliance requirements in banks. Through the precise analysis and verification of documents, the technology, for example, minimises the risk of fraud and thus contributes to efficient risk management. With the help of appropriate AI training data, it is possible to identify anomalies and suspicious patterns in transaction data. In addition, the technology helps banks meet compliance requirements more effectively by ensuring consistent and accurate document management.
Information security certifications, high encryption standards and privacy-compliant handling of documents are important security measures that ensure the secure and compliant use of Intelligent Document Processing tools – especially in officially regulated companies such as banks or insurance providers – .
4. Optimising the mortgage process
Especially large numbers of documents are generated in banks during the mortgage process, which generally involves an extensive credit assessment of tax documents, payslips, proof of identity and, for business customers, also complex profit and loss statements and balance sheets.
AI-powered IDP software can automatically extract the important data from the documents and consolidate it into a clear data set that can be further processed. The technology not only accelerates creditworthiness checks and asset valuation, but also ensures more transparent and customer-friendly processing. Customers benefit from faster feedback on their applications, while banks benefit from reduced processing times and improved accuracy.
5. Automating back-office operations
Intelligent Document Processing software can also increase efficiency in internal processes and other back-office operations. IDP makes it possible to automate a wide range of administrative and routine tasks, such as processing employee data and internal reports. This leads to a significant acceleration of these processes and a substantial reduction in errors often associated with manual data processing.
The technology also supports accounts payable and accounts receivable, where invoices arrive in various formats and need to be matched with supporting documents. This accelerates payment processing, automates three-way matching, identifies exceptions and prevents fraud.
Conclusions
In summary, the introduction of Intelligent Document Processing in banking has a transformative impact that goes far beyond simply increasing efficiency. By optimising lending, digital customer onboarding, fraud prevention, the mortgage process and the automation of back-office operations, IDP enables banks not only to streamline their internal processes and reduce costs, but also to significantly improve the customer experience.
Given the rapidly evolving AI technologies and intense competition in the banking industry, the ability to process documents automatically is increasingly becoming a critical competitive advantage. Intelligent Document Processing is therefore at the heart of digital transformation in banking, benefiting both institutions and their customers.
Buildsimple as an IDP platform used in BaFin-regulated companies
The Buildsimple platform offers a wide range of applications specifically for banks while meeting the highest security and compliance requirements.
Payslips
ID document recognition
Bank details changes
KYC verification
Address changes
Energy performance certificates
