Document automation used to be a checkbox. Now it's a competitive requirement. As AI reshapes what enterprises expect from their data, accuracy, governance, and readiness for downstream systems and agents, organizations are re-evaluating whether their current IDP approach can keep up. This infographic breaks down the research behind that shift, and why specialized IDP vendors are gaining ground over generalist and OCR-based tools.
5 data points every document automation buyer should know
- 72% of enterprises are investing in AI document automation in 2026
- 63% of organizations are likely to change their IDP approach in the next 12 months
- 99% extraction accuracy is now achievable with best-in-class IDP platforms, versus roughly 60% for OCR alone on unstructured content
- 42% cite accuracy and quality as the top factor shaping future IDP deployment decisions
The market is moving beyond capture and extraction toward governed, AI-ready data that powers trusted automation.
AI changed the IDP decision
Capture and extraction are no longer enough. Enterprise AI depends on trusted intelligence, the ability to transform unstructured content into accurate, governed, AI-ready data that workflows, systems, and agents can act on with confidence. This infographic shows exactly why enterprises are reassessing what IDP needs to deliver in the AI era.
Download the infographic to see the research and share it with your team.
Want to go deeper? Check out the full InfoBrief, Shifting Intelligent Document Processing Solution Deployments in the AI Era
