Because of its immense utility in enabling organizations to create structure from unstructured content, various AI modules are frequently incorporated into composable content services. Often, they categorize, extract, and input information into downstream workflows. “Advancements in natural language processing, used to unlock meaning in unstructured documents, and computer vision, used to unlock value in images and videos, have drastically increased the level of accuracy,” Adams observed. These capabilities produce two additional benefits for workflows. They increase the speed of these processes (such as IDP, for example), which also increases their scale. “If you rely on a human to read the documents and input the metadata manually, you’re very limited in the throughput of the number of documents you can process,” Donze said.
However, with composable AI, organizations can use any AI application they want—instead of those of a specific vendor. “No one can compete with the likes of Google, Amazon, and Microsoft on AI,” Bates acknowledged. With composable AI, content services providers don’t have to. End users can readily switch offerings from any providers. AI services become just another pluggable module that can be used to compose tailored applications, workflows, and processes. These might pertain to decoding emails and extracting requisite PDFs for paying invoices or going over contracts. “That’ s the ideal scenario for AI and that’s why it’s complementary for content services,” Donze said. “Content services takes care of all of the processes, the different steps, the routing between the human and the automated worlds, and the AI makes it possible for the system to process the documents automatically without humans having to read them page by page.”