Revolutionize your
unstructured data lifecycle

Today’s global supply chains are more interconnected—and more vulnerable—than ever before. In 2024, the frequency and severity of disruptions soared, with 76% of organizations reporting at least one major incident and the annual cost of these disruptions exceeding $180 billion worldwide. The challenge is compounded by a surge in unpredictable risks: protests and civil unrest have risen by nearly 300%, extreme weather events have doubled, and regulatory changes are up by 128% year-over-year. Navigating this volatile landscape is exceptionally difficult, as risk data is fragmented across thousands of suppliers, regions, and regulatory regimes. As supply chain scrutiny intensifies and compliance demands grow, effective risk management has become not just a competitive advantage, but a business imperative—and one of the hardest challenges to get right in today’s global economy.

Businesses today are inundated with vast volumes of purchase orders and invoices coming through multiple channels-emails, paper mail, fax-and often in unstructured, inconsistent formats. This unstructured data flow creates significant operational challenges, as manual processing of these documents is time-consuming, inefficient and expensive. On average, manual invoice processing takes about 14 days per invoice, with some industries experiencing cycle times extending up to 25 days, leading to delayed payments and strained vendor relationships. The cost of manual processing ranges from approximately $10 to $16 per invoice, but can escalate to $30 or more when factoring in error correction and exception handling. Considering that many organizations process thousands to tens of thousands of invoices and purchase orders monthly, the cumulative annual expense runs into millions of dollars globally. Moreover, manual processes come with error rates between 12% and 15%, causing further financial leakage through duplicate payments, missed discounts, and compliance penalties. Despite these inefficiencies, nearly half of companies still rely on manual or semi-manual workflows, underscoring the urgent need for smarter solutions.

The global private debt market reached approximately $1.5 trillion at the start of 2024, up from $1 trillion in 2020, and is projected to grow to $2.6 trillion by 2029. As these markets expand rapidly and become increasingly complex, AI-driven solutions offer a powerful lens for different stakeholders—investors, fund managers, lenders, and regulators—to gain deeper, real-time insights into risk exposures and portfolio vulnerabilities.