Artificial intelligence (AI) has revolutionized numerous industry processes, and document processing is no exception.
It’s predicted that in 2030, up to 80% of business-to-business invoices worldwide will be processed automatically, according to Gartner. And it’s because of the increased adoption of AI-powered IDP solutions. AI has the ability to automate the extraction, analysis and understanding of unstructured data within documents — and has proven to be an integral tool in boosting productivity and accuracy.
AI enables automation systems to work intelligently by recognizing and processing the data it receives. Integrating AI into document processing allows for efficient extraction and processing of information from documents by using a collection of technologies designed to mimic human intelligence.
These subsets of AI include machine learning (ML), which teaches AI-powered systems to connect dots and learn patterns the way a human does; and natural language processing (NLP) technology, which enables systems to process, interpret and extract meaning from human language.
A key component of document processing is data extraction, which involves identifying and extracting important information from unstructured documents. Accurate data extraction in turn enables automated data entry, helping streamline document-intensive processes like financial transactions or contract management while reducing human error.
Automation works well for structured data, but what about unstructured data like image files, audio files or text documents?
Enter the AI-powered intelligent capture solution. With advanced technology components like NLP and optical character recognition (OCR), it can automatically recognize, extract and convert semistructured and unstructured data — making it a versatile document processing tool for various industries.
Intelligent document processing (IDP) solutions like Hyland IDP use intelligent capture, AI and ML models to consistently improve automation, efficiency and accuracy, providing ongoing value to businesses. It’s important to highlight the integral role AI plays in carrying out IDP operations. Here’s the breakdown of IDP’s capabilities when enhanced with AI tools:
| Capability | Description |
| Document capture and recognition | AI-enhanced OCR extracts printed or written text from scanned documents or image files, converting it into a machine-readable format for data processing. |
| Document separation | IDP uses ML capabilities to identify patterns and split large document packets into different content types for further processing. |
| Document classification | IDP systems use AI’s self-learning capabilities to automatically categorize and classify documents based on content, layout or other characteristics. |
| Data extraction | AI capabilities automate data extraction from documents more effectively, even within semi- or unstructured data. |
| Data validation | Beyond simple data scraping, AI also validates data against existing systems, matching intricate details and reducing manual data entry and intervention. |
| Workflow optimization | AI optimizes document processing workflows by intelligently routing documents, prioritizing tasks and identifying bottlenecks. |
| Business process integration | AI-powered IDP systems integrate with business processes and enterprise systems, centralizing and organizing document silos and facilitating end-to-end document automation. |
> Read more | What's the difference between AI and ML?
AI-powered IDP is a crucial tool to enhance operational efficiency and cost effectiveness. By reducing the need for manual processing and human intervention, IDP minimizes errors and streamlines workflows, resulting in enhanced productivity.
More specifically, AI-powered IDP offers a host of benefits to businesses, including:
AI’s ML, OCR and NLP capabilities — combined with intelligent capture — enable IDP solutions to become self-learning. This significantly reduces time and effort in manual data entry, especially for large data sets.
For example, in manual insurance claims processing, claims adjusters personally review and process paper or electronic claims documents. This could potentially cause delays, errors and consequently multiple rounds of revisions, especially with high volumes involved or a distributed workforce.
AI-powered IDP systems extract and verify data from claims documents, accelerating the claims processing timeline and reducing administrative overhead.
IDP solutions can eliminate human error in data extraction and processing, as well as continuously learn and adapt to new data and document types.
This is useful in cases like HR document processing and management, where employee information can automatically be extracted from resumes, identification documents and other HR-related documents.
This reduces errors in data entry — or even the need to manually input data — as well as ensures consistent handling of employee data and streamlines the onboarding process and end-to-end employee journey.
AI-powered solutions can support large volumes and changes in documents (including types and formats), and scale to handle different business needs.
Government document processing deals with a variety of high-volume documents (such as permits, licenses and public records), which come with changing regulations.
IDP can help government agencies process and categorize these documents efficiently, as the system can scale to handle a high volume of documents and adapt to changes in regulations or document types.
AI-powered IDP can integrate with existing systems and workflows, making it easier for businesses to adapt without disrupting their operations.
Take accounts payable (AP), a crucial component of a business’s financial operations that involves the management and processing of invoices, payments and other financial transactions. With its many necessary documentation requirements (like invoicing) and approval workflows, AP can become a daunting and time-consuming task.
When an AP system integrates with AI-powered IDP, the extraction and validation of invoice information can be automated. This integration accelerates invoice processing, reduces errors and enhances overall efficiency.
The above benefits, combined, can lead to increased operational efficiency, lower required manpower volume and subsequently, substantial cost savings for businesses.
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AI-enabled IDP has extensive applications across sectors. It can seamlessly integrate with business solutions such as customer relationship management (CRM) and enterprise resource planning (ERP) platforms, which enhances decision-making and data analytics capabilities across industries including:
Modern IDP systems leveraging AI improve current workflows and systems within financial services, such as loan and mortgage processing, and can enhance future process outcomes.
Employees gain quick access to all data that has been scanned into a digital system. In turn, customer service improves as staff can locate data easily, accelerate decision-making and provide timely responses to inquiries.
Loan and mortgage processing are subject to regulatory requirements which involve thorough documentation and verification of financial information. AI-enabled IDP helps organizations avoid penalties, legal issues and more through ensured regulation compliance, and by performing advanced document analysis to identify potential fraud.
Companies can also work with updated data insights to further support risk assessment, trend analysis, portfolio management and continued compliance — gaining a competitive edge and maintaining a trustworthy customer image.
AI-powered IDP enables companies to work through various steps of the insurance workflow, including claims and policy processing.
IDP systems can support underwriting with timely and accurate information, which increases data accuracy, reduces human error and speeds up decision-making by providing staff with quick access to digitized data.
Like financial services, AI-enabled IDP systems help insurance companies reduce risk by ensuring compliance with regulatory requirements and bolstering fraud detection through advanced document analysis.
IDP systems are scalable, meaning they can handle increased or decreased document volumes by efficiently allocating resources to ensure optimal performance without compromising efficiency.
In this way, insurance companies also benefit from reduced costs (associated with manual document processing), as well as additional data insights that can support risk assessment, trend analysis and portfolio management to gain a competitive edge and customer trust.
IDP systems powered by AI enhance healthcare services in several ways, including providing access to and management of medical records, automating patient referrals and handling medical insurance claims.
In today’s competitive healthcare system, it’s crucial to provide timely patient care to gain market lead. AI-powered IDP gives care providers access to current digitized patient data, handling both structured and unstructured medical formats.
In addition, practitioners can access large volumes of historical records in real time — supporting patient data analysis, developing tailored solutions for individual cases and identifying patterns in healthcare cases for diagnostic purposes. It can also support telemedicine through processing documents from virtual appointments.
AI subsets like ML can identify patterns to automate medical bill and claims processing, eliminating cost related to manual processing. Through AI-powered IDP, care providers are able to provide efficient, low-cost healthcare — making them a top choice for patients.
AI-enabled IDP streamlines administrative tasks within the higher education sector, including the admissions process and student record management.
When education institutions use IDP systems to gain access to digitized data, they’re able to respond quickly to student inquiries — this creates a positive impact for recruitment efforts among potential students and increases engagement and retention rate among current students.
Administrative tasks can also be streamlined through automated document processing, smoothening the admissions process.
With that, administrative and support staff can focus on higher-value activities, including branding and recruitment. They can also make use of data insights to support planning, student performance monitoring and overall efficiency.
> Read more | The role of AI in transforming higher education
State, regional and federal governments receive a large volume of citizen, constituent and agency enquiries, many of which relate to tax and compliance, and may require access to public records.
AI-powered IDP automates document processing and classification, improving record management and streamlining citizen services. This is vital for governments when accelerating decision-making to citizen and agency inquiries, especially in cases that require emergency response related to public safety.
Governments also rely on transparency and strict compliance to implement effective policies, earn public trust and maintain fairness, equity and stability.
AI-powered IDP can help government institutions adhere to regulatory requirements and support emergency cases like disaster recovery through digitized, highly available records that have been vetted through for accuracy and fraud.
Ultimately, this ensures a more secure and efficient environment for citizens while strengthening trust between public institutions and the people they serve.
> Read more | AI in the workplace
Intelligent capture, enhanced by AI, takes automated data capture to a higher level, capturing and extracting the right information, and making sense of a variety of documents without manual intervention.
With AI document processing, employees can focus on higher-value tasks while systems work to identify and extract information automatically from complex documents. It’s a win-win all round: Staff experience increased productivity and job satisfaction, and companies benefit from streamlined processes, improved accuracy and lower operational costs.
Hyland IDP is a prime example of advancement in AI-powered data processing and extraction. Its comprehensive features and functionalities automate document capture, classification and data extraction — maximizing AI’s potential to revolutionize document processing in the digital age.
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