What is IBM Automation and Document AI?

Reduced Costs

Automated document processing dramatically decreases the expense generally associated with extracting information and filing documents. Combined with its flawless processing, companies can spend less time managing overwhelming amounts of messy papers.

Improved Accuracy

Once document AI is trained and ready to go, it's far more accurate than humans at specific document understanding tasks. This higher accuracy is critical to increasing productivity, reducing costs, and avoiding devastating mistakes that could cost customers, opportunities, or your business.

Higher Customer Satisfaction

Whether you're processing customer requests, insurance claims, or providing information, document AI allows companies to give responses faster and with higher accuracy. Accelerating these processes makes customers happier, reduces complaints, builds reputation, increases trust, and reduces the risk that they'll turn to competitors.

Regulatory Compliance

Higher document processing accuracy improves the capacity for regulatory compliance. This detailed audit trail can also be helpful for employees to find errors, identify efficiencies, and problem-solve.

Scalability

Because document AI eliminates the need to process and manage data manually, it's easy to scale with little to no added cost.

User-Friendly Workflows

Document processing technology turns large numbers of documents into a usable resource accessible through a user-friendly UI. And because it doesn't require advanced technical skills, anyone with access can use the information to increase productivity and improve their work.

Financial Services

Customer documentation and language vary unless you're working with a hyper-local target market. Document AI allows you to process supporting documentation and communications worldwide with minimal human interaction during the process.

Healthcare

Organizations in healthcare often find themselves drowning in high amounts of documentation and strict compliance regulations. This problem becomes so prominent that it can eat up a large portion of a company's labor. Knowledge Process Outsourcing (KPO) and Robotic Process Automation (RPA) can help, but documentation processing AI makes this automation intelligent.

Human Resources

The use of document AI has exploded in the human resource industry. Machine Learning (ML), Natural Language Processing (NLP), and AI can instantly deal with many documents associated with recruitment, training, employee requests, and other HR functions.

Accounting

Many use cases for document artificial intelligence focus on accounting processes, including payroll, taxation, invoicing, and cash management. As a result, accounting departments were among the early adopters for this technology and the first to find ways to integrate these processes with other departments such as sales and the C-suite.

Sales and Marketing

Documentation can contain a wealth of priceless information about customers, the products and services they use, their purchases, and how they engage with the company. Documentation AI can process this information and generate custom reports that can help identify profitable marketing ideas, profitable target markets, and more.

Insurance

Almost every process in the insurance industry requires companies to process documentation, share it, or analyze it somehow. Documentation AI management tools can cut the labor associated with quotes, claims, and adjudication down to mere minutes or even seconds in some instances.