AI and automation aim to unlock trapped corporate data

Companies are facing a paradox where they generate vast amounts of data but struggle to exploit it effectively. Much of this strategic information remains trapped in unstructured formats such as contracts, quotes, technical reports, invoices, and HR documents. Traditional systems often fail to process these files, forcing employees to perform manual, repetitive tasks like copying data from PDFs or comparing contract versions.

Implementing automation for tasks like file verification can reduce manual processing by up to 70%, turning operations that previously took several minutes into tasks completed in under a minute.

Beyond static documents, conversational data—such as sales calls and customer service interactions—represents a significant untapped resource. While much of this information is typically lost or reduced to brief notes in a CRM, advancements in speech-to-text and natural language processing allow companies to transcribe and structure these exchanges. This enables businesses to identify recurring customer objections, product irritants, and purchase intentions, providing valuable insights for sales, marketing, and product development teams.