ABBYY stories
The restructure aims to cut handoffs between sales, support and implementation as software buyers demand clearer ownership after purchase.
Enterprises could cut AI ingestion errors and token costs as the new tool keeps sensitive documents on premises or in a chosen cloud.
Most AI projects stall because firms lack the standards and monitoring needed to keep models trustworthy, auditable and scalable in production.
Enterprises could cut AI spend by up to 80% by shifting document workflows away from custom builds and into standard platforms.
Enterprises can now extract data from unseen document types without templates, as ABBYY rolls out zero-shot capabilities in Vantage.
Enterprises under pressure to curb AI risk and cost are being given a hybrid option that blends generative models with OCR and rules-based extraction.
Unready data, model limits and governance hurdles are slowing enterprise AI rollouts, ABBYY said at its Singapore event.
Enterprise buyers are weighing more than OCR as ABBYY's latest Gartner ranking underscores growing demand for reliable AI-ready document workflows.
Messy PDFs and weak extraction are quietly undermining enterprise AI, driving hallucinations, rework and stalled projects at scale.
Unredacted archive copies can expose personal data long after extraction, increasing compliance risk for firms using AI and high-volume document workflows.
Mortgage file reviews could be cut to minutes after SlateWorks' AI auditor beat 25 teams in ABBYY's Bangalore hackathon.
Mortgage lenders could soon automate file checks more quickly as SlateWorks' award-winning AI targets compliance-heavy reviews still done manually.
Fintech lenders and banks face rising losses as AI-generated statements and identity files slip into automated onboarding before manual checks.
It aims to solve a key enterprise AI problem by standardising how software reads PDFs, Word files and images without losing layout or meaning.
Users of ABBYY systems will be able to add handwriting recognition and fraud checks without replacing existing document workflows.
Most US companies lack full trust in AI, with governance and accountability systems struggling to keep pace with adoption.
Concerns over legal, reputational and data risks are rising as nearly all Singapore companies use AI, yet trust in its accuracy stays low.
Most Australian firms using AI still lack a settled view on liability, even as 61% insist humans should review major decisions first.
The ranking signals growing demand for print vendors that can plug into cloud, security and workflow systems rather than stand alone.
Manual intervention after document capture is a costly bottleneck for AP and claims teams, which the new tool aims to remove.
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