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AI Is Mainstream, But Document Infrastructure Is Failing to Keep Up, Apryse Global Survey Reveals

Apryse published a global survey showing 64.5% of enterprises use AI in production, but only 38.1% rate their document data as 'excellent'.
Document data problems such as messy, inconsistent content have left enterprises struggling with surging data growth, limited visibility, and fragmented tooling, while 76.6% store 25–75% of their data in documents and manual data vetting remains unsustainable.
Table and form recognition leads respondents' capability priorities at 59.6%, while developers and organizations need tools that extract structure and meaning, and metadata tagging supports compliance, searchability and governance.
Planning for near-term upgrades, 82.8% of enterprises plan document automation investments within the next 12 months while 62.8% report document quality issues occasionally or frequently.
Quoting regional trends, 'Oceania is outpacing the West in several key areas of AI infrastructure', added Varley, while Apryse offers embeddable SDKs and intelligent pre-processing to convert unstructured documents into AI-ready data.

Insights by Ground AI