Despite significant investment in artificial intelligence, nearly 40% of projects fail to deliver measurable results.
The reason lies less in the technology itself and more in how it is applied. Too often, automation is pursued without properly understanding existing workflows, leaving inefficiencies untouched and outcomes misaligned with strategic objectives. ABBYY emphasizes that success depends on shifting from task-based automation to incorporating agentic technologies—powered by process intelligence and document AI—that drive end-to-end autonomy, transparency, and measurable business value.
Document AI is central to this transition, transforming unstructured data into actionable insights by extracting, validating, and contextualizing information. In highly document-intensive environments such as healthcare or financial services, this technology streamlines decision-making, reduces risk, and accelerates compliance. Combined with process intelligence, organizations gain a holistic view of workflows, identifying inefficiencies, anticipating risks, and ensuring alignment with key performance indicators. Together, these capabilities provide the foundation for autonomous systems that adapt dynamically, make context-aware decisions, and instill trust through embedded governance.
The practical benefits are already evident. From accelerating loan approvals in banking to improving revenue cycle management in healthcare, process intelligence and document AI empower organizations to evolve beyond simple automation. They synchronize people, processes, and technology into a unified framework that is resilient to disruption and responsive to change. By embedding transparency, accountability, and adaptability into their AI strategies, enterprises can ensure that their investments deliver sustainable returns and position themselves for long-term growth.
