ABBYY

Can AI alone fix your document-heavy logistics processes? Not quite.

Automating transport and logistics takes more than technology. It takes the right combination of intelligent automation, proven expertise, and real-world results.

Join ABBYY, Inpute, and Bulgari for a practical, interactive webinar built for enterprise logistics leaders across the UK and Ireland.

📅 6 July 2026

🕚 11:00 am BST

This webinar is for AI implementors who are ready to:

• Reduce processing time and costly errors

• Improve visibility and compliance across operations

• Avoid the most common automation pitfalls

• Accelerate operations and strengthen control

• Deliver measurable ROI from your automation initiatives

This session is interactive, so bring your questions. We welcome them before and during the webinar.

Ready to make your automation work harder?

Register now: https://hubs.li/Q04lKxdG0

One standard to rule every AI pipeline.

You've written the regex. You've patched the PDF parser. And you've hand-rolled the table extractor that breaks every time a vendor changes their export format.

None of that was the real work. It was the tax you paid because documents weren't built for machines.

Today that changes.

DocLang is an open, vendor-neutral specification for an AI-native document standard. Developed under the Linux Foundation, built experts at IBM, ABBYY, NVIDIA, Red Hat, and HumanSignal.

What it actually gives you:

→ A single format that preserves structure, semantics, tables, formulas, and layout—across PDF, Word, HTML, and more

→ Token-efficient markup designed for LLM pipelines, not browser rendering

→ Native support for complex components: nested tables, code blocks, multi-page lists, charts, forms

→ Geometric bounding box info when you need it, ignored when you don't

→ First-class page threading for content that spans columns or pages

The spec is open. Contributions are welcome.

Read it and get involved: https://hubs.li/Q04lKQXr0

KYC compliance is under more pressure than ever, yet many organizations are still running the same fragmented, manual processes that slow onboarding, introduce risk, and make audits harder than they need to be.

In a new article published by Fin Tech Strategy, Vice President of AI Strategy at ABBYY, Maxime Vermeir breaks down the six "deadly sins" holding KYC programs back, and what organizations can do to fix them. ✅

Max argues that the solution isn't more manual oversight. It's AI-powered process intelligence and intelligent document processing working together across the full KYC lifecycle, from first document intake through ongoing due diligence and audit trails.

With the EU AML Regulation taking effect in July 2027 and customer expectations rising, this is exactly the moment to close the gaps.

Read the full article🔗 ABBYY: The Deadly Sins of KYC Compliance (https://hubs.li/Q04lcdC10)

"AI is effectively dismantling the wage-based tax architecture on which the modern welfare state was built."

That single line from Andrew Pery, AI Ethics Evangelist at ABBYY, reframes one of the most overlooked challenges of the AI era.

In a sharp new piece for EnterpriseTalk, Andrew makes the case that as value shifts from labor toward capital, algorithms, and concentrated technology infrastructure, the tax systems funding modern society need an urgent rethink.

Andrew takes a thoughtful, balanced look at a question every policymaker and business leader should be asking: how do we share the gains of AI fairly when work is no longer the central engine of public revenue?

Read more 👉 https://hubs.li/Q04lb-fw0

The next wave of intelligent automation is already here. How are you preparing for it? ABBYY is heading to the Tech for Industry Show, and we would love to see you there.

📍 Paris Expo, Porte de Versailles
📅 June 23–24, 2026
🔖 Booth F10

The future of manufacturing runs on data, decisions, and the intelligence connecting them. From AI and automation to supply chain optimization and digital transformation, the path to Industry 4,0 starts with understanding your processes and the documents that drive them.

Stop by booth F10 to discover how ABBYY helps industrial leaders:

• Turn complex documents into actionable, structured data

• Reveal hidden inefficiencies across critical workflows

• Build a smarter, AI-ready foundation for automation at scale

Want to join us in Paris? Register to secure your spot: https://hubs.li/Q04ln4180

See you there! 🤝

The most dangerous AI failures don't trigger alarms... They go quiet. 🔇

In his latest article for Workflow Magazine, Matt Wood, ABBYY's Global Head of Cyber Operations, tackles one of the most overlooked governance risks in enterprise AI: silent continuation.

This is what happens when an AI system keeps executing tasks it is no longer authorized to perform. No alert. No escalation. No intervention. From the outside, everything looks fine. But beneath the surface, the system has drifted far from its intended path, and decisions are compounding, unchallenged.

The result isn't a visible breakdown. It's a slow, invisible erosion of control.

For enterprise leaders navigating AI governance, understanding this risk and Matt's solution framework is critical.

Read now 👉 https://hubs.li/Q04lb1yK0

When AI Goes Quiet: The Invisible Failures Breaking AI Governance • Workflow Most AI governance conversations focus on visible failures, with headlines centering around breaches, hallucinations, and misuse. But in reality, the most

In the fast-paced world of financial services, automation and accuracy are everything. Don't risk falling behind.

Join the webinar to see how FinTrU together with ABBYY enhanced regulatory document workflows with a purpose-built approach to AI and automation.

📅 July 1 🕙 11:00 am BST

By integrating ABBYY's intelligent document processing capabilities, FinTrU achieved incredible results.
✅ 40% improvement in processing efficiency
✅ 40% reduction in manual data entry errors
✅ 15% cost savings

Secure your spot to learn how you can transform manual KYC and compliance workflows.

🎟️ Register here [ https://hubs.li/Q04kYFbn0 ]

Are you attending ? So is ABBYY 🚀

The Gartner Application Innovation & Business Solutions Summit 2026 brings together IT decision makers, software engineering leaders, and business technology strategists.

ABBYY will focus on one practical question: how do you extract and operationalize document data to actually support your autonomous and intelligent automation initiatives?

Join us in Tokyo, Japan on June 17-18, 2026, to find out why leading enterprises trust ABBYY purpose-built AI.

Connect with us at ABBYY's booth. We look forward to meeting you there. 🔐

👉 https://hubs.li/Q04jHHvg0

Say hello to DocLang.🚀

Created because your documents were built for printers and editors, not the AI reading them.

The root cause is simple: PDF was built for print. DOCX was built for editors. HTML was built for browsers. None of them were built for AI, and your AI pipelines are paying the price – until now.

The Linux Foundation just announced the DocLang Specification, an open, vendor-neutral standard for AI-native documents, built by ABBYY, IBM, NVIDIA, Red Hat, and HumanSignal. Think of it as the true context layer between your business documents and your AI agents: structure, layout, meaning, and governance preserved in one format models can actually use.

The best part? DocLang is free and ready right now. Read the spec, open an issue, or join the working group. The standard gets sharper the more developers are in the room.

Help shape how AI reads documents 👉 Learn more at https://hubs.li/Q04kJvby0

AI is everywhere in healthcare, but not all AI is created equal 🤔.

As payers face rising administrative costs, staffing shortages, and increasing pressure to improve accuracy, many are turning to AI. But generic tools often lack the operational context needed for complex, regulated environments — introducing risk instead of reducing it.

New from ABBYY, Naviant, and Fierce Healthcare:
"Why Generic AI Falls Short in Healthcare Claims Processing and How Purpose-Built AI Can Help"

Explore how purpose-built AI is helping payers:
✅ Improve claims accuracy
✅ Accelerate processing times
✅ Maintain compliance at scale

Read the whitepaper👉 [https://hubs.li/Q04jHCHW0]