Vantage 3.0
Introducing a hybrid approach to using Document AI and GenAI
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KYC compliance underpins virtually every financial transaction today. Every checking account opened and every policy issued today goes through this verification layer. When KYC is done well, it flies so under the radar that no one even notices. When it’s done poorly, though, the costs are high. Financial institutions face fraud-related losses, regulatory fines, and customer churn.
Unfortunately, the way many organizations run KYC today is structurally broken. Their processes were designed for a different time, back when regulations were simpler and fraudulent transactions were easier to detect. Customers had more patience too, pre smartphones.
But that era has ended. Today, financial companies need faster, smarter KYC solutions. Without it, risk exposure grows.
In the first half of 2025 alone, regulators issued $1.23 billion in fines related to KYC, AML, and transaction monitoring violations. That's not because organizations are choosing to ignore the rules. According to a Fenergo study, the average corporate KYC review takes 95 days and costs $2,598 per case.
The process is slow and expensive, yet it’s still failing. Fines represent regulatory risk, while fraud losses represent financial risk. The customer churn that follows a poor KYC experience represents reputational risk that’s tough to quantify and to recover from. Why has KYC gotten so difficult? For one, fraud has gotten more sophisticated, thanks to AI-powered deepfakes and document forgeries that manual review teams simply aren't equipped to catch.
But the second problem is structural. While companies have automated many KYC processes, most of this automation simply speeds up individual tasks, not the process as a whole. That means a lot of time lost during manual transitions from one task to the next. And in those transitions, things can fall through the cracks.
Meanwhile, KYC regulations are tightening up. Globally, laws are shifting toward continuous, risk-based monitoring, better known as perpetual KYC (pKYC), with the EU set to make it a legal requirement by 2027.

To meet modern KYC requirements, organizations need to be able to understand customer documents accurately and run the workflows built around those documents precisely.
Today’s KYC processes suffer from a twofold problem. Too much of the workflow remains manual, and the automation that does exist is fragmented and piecemeal. While automating individual steps may create the appearance of faster KYC, it fails to address the underlying structural challenges that make compliance difficult to sustain. What’s missing is connected automation that reflects the reality of modern KYC as a continuous, end-to-end process.
Today’s requirements demand continuous monitoring and explainable, audit-ready workflows across the entire customer lifecycle. Achieving that requires intelligence that links documents, data, decisions, and people.
Yet, achieving this accuracy and precision isn’t easy when KYC documents arrive in different formats and languages from different sources. Generic automation tools consistently struggle with that level of variability. As documents move across dozens of systems and teams, bottlenecks form and workarounds slowly turn into standard practice. There is no clear view of where things are breaking down or risk is building up.
Solving this requires making sense of KYC documents at scale and making the KYC process itself visible.
At its core, modern KYC asks organizations to do two things well: understand customer documents accurately and at scale, and make sure KYC workflows actually run the way they’re supposed to. These needs can be met through two complementary capabilities: document intelligence and process intelligence.
KYC remains fundamentally document-driven, relying on passports, proof-of-address documents, incorporation records, and other supporting materials that arrive in unstructured formats and are difficult to process at scale. These documents are also frequent targets for fraud. Document intelligence addresses this challenge. Instead of treating documents as static files, it understands them as humans do, even as it automatically extracts and validates information at machine scale.
Document intelligence reduces risk at the front end. ABBYY Document AI can extract and validate structured data from virtually any document type with high accuracy. This means fraud signals like tampering and forgery get flagged early. Every piece of data remains traceable back to its source, and as new documents are submitted or details change, Document AI refreshes and revalidates customer information for pKYC.
With document intelligence, institutions can:
Once customer data enters an organization, it moves from onboarding and screening through reviews and remediation, often across dozens of systems and teams. Process intelligence reveals how KYC executes in the real world, closing the gap between how these processes are defined on paper and how they run in practice.
ABBYY Process Intelligence maps KYC workflows for end-to-end visibility that lets companies spot bottlenecks and flag deviations. Compliance teams can continuously monitor KYC operations and intervene before problems become violations. Should regulators ask, clear digital trails show processes were executed correctly and consistently.
With process intelligence, financial institutions can:
Together, document intelligence and process intelligence power continuous, end-to end KYC. Document intelligence provides the trusted inputs, while process intelligence governs how those inputs are acted upon. The result is a system where documents, data, decisions, and processes remain connected across the entire customer lifecycle.
This is what makes intelligent automation sustainable: KYC that is traceable, auditable, and resilient over time, able to withstand regulatory scrutiny while scaling with the business.
From compliance to fraud prevention, ABBYY’s global partner ecosystem enables us to deliver solutions that solve specific business problems and deliver measurable results that can be trusted. Partners like FinTrU bring deep expertise in specialized regulatory documents, while IBM Orchestrate helps deliver seamless KYC workflows across systems, ensuring accuracy at scale and compliance readiness. Working with advanced fraud detection platforms like Resistant AI, ABBYY ensures that the data you capture is not only correct but also genuine. This combination protects businesses from costly fraud risks and strengthens trust with customers.
You can explore all of ABBYY’s pre-trained, ready-to-use extraction models for KYC documents in the ABBYY Marketplace.