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A Natural Language Interface (NLI) is a type of user interface that enables people to interact with software systems using everyday spoken or written language rather than relying on dropdowns, checkboxes, or command-line inputs. By processing natural human queries like “Show me overdue invoices” or “Find contracts expiring next month,” an NLI removes friction from the way users search for data, run reports, or initiate workflows.
Natural Language Interfaces are built on Natural Language Processing (NLP) a branch of artificial intelligence that allows computers to understand and interpret human language in real time. The goal is to allow users to “talk” to their systems the same way they would ask a colleague for help or information. This makes NLIs especially powerful in enterprise environments, where technical interfaces can be barriers to speed, access, and accuracy.
In AP automation and P2P automation platforms, a natural language interface can simplify complex actions such as filtering thousands of invoices, running audit logs, or checking supplier status by turning them into simple questions or prompts. This is especially useful for non-technical users who need insights but aren’t familiar with query logic or database structure.
Typical use cases include:
Natural Language Interfaces are also increasingly embedded in invoice automation, procurement systems, and spend analytics tools, where time-pressed users need fast access to complex data. In some cases, these interfaces are integrated with enterprise search tools, virtual assistants, or chatbot environments to offer even broader accessibility.
As software systems grow more powerful and more complex NLIs are a key step in making automation more intuitive and inclusive. By lowering the barrier to interaction, they improve adoption, reduce reliance on IT teams, and help organizations move faster with less friction.