Survey Overview
A recent global survey by Apryse reveals that while 64.5% of enterprises have implemented AI in production, only 38.1% rate their document data as excellent. This disparity highlights a significant gap in AI readiness, as messy and inconsistent document data hampers effective AI integration.
The survey, conducted in September 2025 with 465 organizations across North America, Europe, Australia, and New Zealand, underscores the challenges businesses face with document data governance. Traditional data shared between documents is often unstructured and difficult for AI to interpret, making automation and accurate insights challenging.
Challenges in Data Quality
Andrew Varley, Chief Product Officer at Apryse, notes that AI is now operational but the infrastructure supporting it—particularly document data quality—hasn’t kept pace. The rapid growth of data without proper governance and fragmented tooling are major barriers to intelligent processing at scale.
Regional Insights
Interestingly, while North America leads in AI deployment at 77.7%, Australia and New Zealand are ahead in infrastructure maturity. These regions report higher adoption of generative and predictive AI, hybrid cloud usage, and OCR technologies. This shift is driven by early adoption of data residency rules and regulatory mandates, particularly in industries like healthcare, government, and financial services.
Solutions from Apryse
The survey also highlights the need for tools that go beyond mere digitization, emphasizing solutions that extract meaning and structure from documents. Apryse’s embeddable SDKs and intelligent pre‑processing technologies aim to address this demand by transforming unstructured documents into structured, AI‑ready data.
To learn more about the survey findings and Apryse’s solutions, visit their official website.
