Tired of talk and ready to see DocLang in action? ABBYY FineReader Engine 12.8.0 now exports to DocLang, the AI-native document standard co-founded by ABBYY, IBM, HumanSignal, Nvidia, and Red Hat. Legacy formats like PDF and HTML were never designed for LLMs or agentic AI. DocLang changes that, giving your AI systems a clean, structured, machine-readable format they can actually trust. We recently demonstrated FineReader Engine processing 2,160,000 pages per hour. Yes, really. See the difference for yourself with our interactive benchmark 👉 Doclang: Structured Document Data for AI, LLMs, and Agents | ABBYY hubs.li/Q04mjXh70 Ready to build smarter document pipelines? Explore FineReader Engine 👉 ABBYY FineReader Engine hubs.li/Q04mkxYT0 #DocLang #DocumentAI #AgenticAI #ABBYY

Global fraud losses reached $485.6 billion in 2023. The documents behind those losses are getting harder to identify. Not because review teams aren't careful, but because GenAI has made high-quality forgeries indistinguishable to the human eye. Resistant AI's forensics catches tamper patterns that visual review misses, while Naviants’ specialized KYC expertise helps institutions accelerate onboarding and strengthen compliance. ABBYY has spent 35 years converting unstructured documents into trusted, automated data flows. This October, we're bringing both to a working dinner in #Toronto. 🎯 ABBYY Circles · Toronto 🍁 Thursday, October 8, 2026 · 4:00–7:00 PM Riley's Toronto, 155 Wellington St W An invitation-only session for senior leaders in banking, insurance, and fintech. Three hours. Here's what you'll walk away with: 1️⃣ A live forensics demo that surfaces forged files earlier and reduces false positives 2️⃣ A pKYC readiness check against AMLR and FATF guidance, tailored to your institution 3️⃣ A scored automation shortlist from our AVCP Masterclass — potential project value exceeding $1M ✅ Plus direct conversation with Chief Risk and Compliance Officers, Heads of KYC and Onboarding, CIOs, and Heads of Digital Experience across the region. Seats are limited and every registration is confirmed via email. Request yours: hubs.li/Q04yy9n70   #ABBYYCircles #DocumentFraud #KYC #FinancialServices #ABBYYPartners

We are thrilled to announce that Paula Sanders is ABBYY's new Chief Customer Experience Officer.🎉 Over 14 years at ABBYY, Paula has led Pre-Sales, Post-Sales, and Professional Services, guiding customers through every stage of their journey. Now she brings that expertise to a newly unified Customer Experience organization. As CEO Ulf Persson put it: "She brings a deep understanding of the customer lifecycle, strong relationships across the business, and the leadership capability to make this work." Paula's vision is clear: ensure every customer experiences the full power of ABBYY AI from day one, with the partnership, consistency, and confidence to achieve maximum value from their investment. 🔗 Read the press release: hubs.li/Q04yyq4N0 The timing could not be stronger. ABBYY was recently recognized as a Leader in the 2026 Gartner Magic Quadrant for Intelligent Document Processing, a reflection of our commitment to purpose-built Document AI and the teams that help enterprises realize its full potential. 👏 Please join us in congratulating Paula on this well-deserved appointment. The future of customer experience at ABBYY is in exceptional hands! #ABBYY #Leadership #CustomerExperience #ExecutiveAppointment

Your RAG system just gave a wrong answer. Where do you look first? Most teams blame the prompt. They're usually wrong. The real culprit is retrieval. And retrieval traces back to something upstream that rarely gets attention: how well your documents were prepared in the first place. When a RAG system fails, it almost always falls into one of three modes: > Relevance failures: it pulls the wrong content > Coverage failures: it misses content it should have found > Noise failures: it drags in clutter that muddies the answer All three trace back to ingestion quality, not prompting. When ingestion doesn't preserve structure, tables lose their column headers. Exception clauses separate from the rules they modify. The information needed to answer a query never becomes a coherent, retrievable unit. You can rewrite prompts forever. But if the corpus was built badly, the answers stay unreliable. So, what actually works? Test retrieval as its own component. Then trace every failure back to where the corpus was built. That's the difference between AI that works and AI you merely hope works. Where does your RAG pipeline break down: the prompt, or the preparation? Jon Knisley, Director of AI Value Management at ABBYY, breaks down the three failure modes and how to fix them at the source. 🔗 Read the article 🎯: hubs.li/Q04yy93q0 #RAG #EnterpriseAI #DocumentAI #GenAI

Fraud, AML, and KYC are converging into one regulatory expectation. The documents at the center of all three are getting harder to trust. 📃🤔 For every $1 of fraud loss, financial services absorbs $5.75 in total costs. That multiplier compounds every time a forged document clears a review process that was never built to catch it. GenAI has raised the ceiling on what "forged" looks like, and Resistant AI's forensics identifies tampering imperceptible to visual review while Naviant brings specialized KYC expertise to help institutions stop document fraud at ingestion. ABBYY has spent 35 years turning unstructured documents into trusted, automated data flows. Together, we're hosting a working lunch in Charlotte to show what that looks like, live. 📅ABBYY Circles · Charlotte Wednesday, October 7, 2026 · 12:30–3:30 PM Capital Grille, 201 N. Tryon Street An invitation-only session for senior leaders in banking, insurance, and fintech. Three hours of candid conversation with Chief Risk and Compliance executives, Heads of KYC, and CIOs across the Charlotte region. Seats are limited. Request your invitation here: hubs.li/Q04ypWBR0 #ABBYYCircles #DocumentFraud #KYC #CharlotteNC #FinancialServices #ABBYYPartners

ABBYY has been named one of KMWorld's Trend-Setting Products of 2026 for Intelligent Document Processing! KMWorld's annual list recognizes products that go beyond the hype deliver real results and stand out as genuinely innovative and transformative. We're proud that ABBYY Document AI continues to be recognized as one of them. "Knowledge management products continue to evolve, mainly due to rapidly evolving AI-based technologies that call for new, updated strategies and that match up with user expectations." — Marydee Ojala, Editor in Chief, @KMWorld At ABBYY, we process any document, in any format, at any complexity and volume, with deterministic precision and a hybrid AI approach that enterprises can govern and trust. Find out more: [hubs.li/Q04ypNlw0] #DocumentAI #IDP #KMWorld #IntelligentDocumentProcessing #AI

"The weakest link in your AI pipeline is almost never the model. It is the document." Here's the problem almost no one is talking about: the damage happens before your model reads a single word. When a typical PDF passes through raw extraction, things quietly fall apart: > Reading order collapses > Tables flatten into meaningless strings > Multi-column layouts interleave into noise > Structural hierarchies disappear By the time your AI sees the document, it's already corrupted. The model isn't learning your domain knowledge. It's learning the noise. ABBYY research puts a number on it: when document parsing accuracy drops below 70% to 80%, most downstream natural language tasks become unreliable. That's where higher hallucination rates and weaker RAG retrieval come from. So here's the shift in thinking. Structure-preserving extraction isn't a nice-to-have enhancement. It's a prerequisite for reliable enterprise AI. You can invest in better prompts and bigger models all day. If the input is broken, the output will be too. Maxime Vermeir, VP of AI Strategy at ABBYY, unpacks why your documents are corrupting before AI ever reads them, and what to do about it. Is your AI failing because of your model, or because of your data foundation? Read the article: hubs.li/Q04yc_hv0 #DocumentAI #RAG #EnterpriseAI #GenAI

For every $1 of fraud loss, financial services absorbs $5.75 in total costs. And the documents generating that loss are becoming harder to distinguish from legitimate ones. GenAI has changed what a forgery looks like. @ResistantAI's forensics catches tampering the human eye cannot detect, and @NaviantLLC brings deep Know Your Customer (KYC) expertise to help institutions modernize onboarding and compliance workflows. ABBYY has spent 35 years converting unstructured documents into trusted data and this October, we're bringing both capabilities to the table. ABBYY Circles: Two invitation-only sessions for senior leaders in banking, insurance, and fintech: 📍 Charlotte · Wednesday, Oct. 7, 2026 · 12:30–3:30 PM · Capital Grille 📍 Toronto · Thursday, Oct. 8, 2026 · 4:00–7:00 PM · Riley's Toronto These aren't presentations. They're working sessions. Walk in with your fraud and KYC challenges; walk out with a live forensics demo, a pKYC readiness assessment against AMLR and FATF, and a scored automation shortlist with potential project value exceeding $1M. Select your city to request an invite: Charlotte → hubs.li/Q04y6cS60 Toronto → hubs.li/Q04y6cR10   Which table will we see you at? #ABBYYCircles #DocumentFraud #KYC #FinancialServices

Introducing FineParser, your AI pipeline solution.⚡ Self-hosted document parsing built on ABBYY FineReader, the OCR engine behind enterprise document automation since 1989 and named a Leader in the 2026 Gartner® Magic Quadrant™ for Intelligent Document Processing.   Fine Parser is container-native, supports 200+ languages, pixel-accurate structure preservation, deploys in under 5 minutes, and exports to DocLang, JSON, and XML outputs designed for RAG pipelines and AI workflows. No cloud account. No data leaving your infrastructure. Air-gap capable for the workloads that demand it. Your AI pipelines are only as good as the documents feeding them. FineParser is how that problem gets solved. Get access, start for free: hubs.li/Q04y1jry0   #DoParsingRight #AIEngineering  #RAG #LLM #DocumentParsing #DocumentAI #AgenticAI #DocLang

Enterprise software has spent decades designing for one user: people. What happens when the next user is an AI agent? AI agents have become legitimate users of enterprise systems by retrieving information, orchestrating workflows, and triggering actions, all without a person standing by to compensate for the software's gaps. Slavena Hristova, ABBYY Director of Document AI Strategy, asks what these changes mean for enterprise software usability, and offers documents as the proof point. A person can glance at an invoice and infer meaning from layout alone. An AI agent needs that same signal made explicit, which is why document understanding is becoming the perception layer for enterprise AI. Here's the part that surprises people. More AI doesn't mean less human input. It moves human expertise upstream. People stop executing routine work and start designing the rules that shape how work gets done. Is your enterprise software ready for its second user? Read the article to find out: hubs.li/Q04xXw3n0 #EnterpriseAI #AIAgents #IntelligentAutomation #DocumentAI

Tomorrow, we go live. Are you in? "You deployed FlexiCapture successfully. Now assure it." Join ABBYY and Reveille Software for a live session built for FlexiCapture customers. Here's the incentive worth showing up for: attend live and you qualify for a complimentary Observability Assessment. Your FlexiCapture environment, scored against 90+ prebuilt tests. That's real, actionable proof of how your environment is performing. Not a guess. 📅 September 23, 2026 🕙 10:00 am PT / 1:00 pm ET @ReveilleSoftwre's Wayne Ford and Kieran Fox run it live on a real #ABBYYFlexiCapture environment. Don't leave assurance to chance. Save your spot 👉 hubs.li/Q04xMj180 #ABBYY #ABBYYPartners #FlexiCapture #IntelligentDocumentProcessing #IDP

Singapore, that’s a wrap! ABBYY Ascend Singapore brought together AI leaders, technologists, customers, and partners for a day of conversations around one key theme: turning complexity into clarity, and AI potential into real-world results. From #DocumentAI and agentic automation and safe, scalable AI, we enjoyed the exchange of ideas, insights, and connections.   Thanks to everyone who joined us! 🙌 Want to keep exploring what’s possible with ABBYY’s purpose-built AI solutions? Share a bit about your project: hubs.li/Q04xSwl20   #DocumentAI #ProcessIntelligence #EnterpriseAI #GenerativeAI

Uber’s US$966M fine is a warning for organizations deploying agentic AI: automation capability ≠ governance readiness. ABBYY’s Maxime Vermeir explores why meaningful human oversight needs real context, authority and reversibility. Read more: hubs.li/Q04xNK3y0 #AI #AgenticAI #AIGovernance #ResponsibleAI #ArtificialIntelligence

On September 23rd, ABBYY and Reveille Software will host a webinar built specifically for FlexiCapture customers. On a real ABBYY FlexiCapture environment, you'll see exactly what assurance looks like: • End-to-end visibility across ingestion, batches, queues, and licenses • Self-healing in action: a stalled process caught and restored before anyone opens a ticket • An SLA report card on the processes your business actually depends on This is the difference between hoping your environment is healthy and knowing it is. Join us on 9/23 at 10:00 am PT / 1:00 pm ET Save your spot 👉 hubs.li/Q04xMfqb0 #ABBYY #ABBYYPartners #FlexiCapture #IntelligentDocumentProcessing #IDP #ABBYYVantage #ContentObservability  @ReveilleSoftwre

As AI token costs fall, why does enterprise AI spending continue to rise? Because the real cost isn't just the model. It's the agents, workflows, integrations, orchestration layers, and reasoning loops wrapped around it. In his latest @TechstrongTV interview, ABBYY's Director of AI Value Management, Jon Knisley, explores why successful AI adoption requires more than tracking token prices. He discusses the importance of using the right tool for the right task, measuring workflow outcomes instead of model performance alone, and how AI-native formats like DocLang can help organizations avoid unnecessary token consumption while improving document understanding. 🎥 Watch the full interview: hubs.li/Q04xGZc00 If you're focused on scaling AI while keeping business value front and center, this conversation can offer you a better understanding of the realities of enterprise AI. #AI #EnterpriseAI #AIAgents #Automation #IntelligentAutomation #AILeadership #DigitalTransformation

Cloud compliance isn't just a technology challenge. It's a trust challenge. That's why we're bringing together experts from ABBYY and SVA for a practical discussion on the growing importance of BSI C5 and cloud assurance across regulated industries. 🎙️ Andrew Pery, AI Ethics Evangelist at ABBYY, will share perspectives on AI governance, data privacy, and compliance in today's rapidly evolving technology landscape. 🎙️ Liam Hurst, Senior Consultant for Strategic Business Automation at SVA, will discuss how organizations can align automation initiatives with modern security, transparency, and compliance expectations. Together, they'll explore the role of data sovereignty and transparency in cloud assurance and why compliance extends beyond infrastructure alone.   📅 23 September 2026, 10:00-11:00 CEST Reserve your spot: hubs.li/Q04xDr4T0   #CloudCompliance #EUAIAct #DigitalTrust #NIS2 #DORA #RegTech #DACH #KRITIS

AI adoption is accelerating in Singapore. But is governance keeping pace? As organizations across Singapore continue to explore how AI can transform the way they work, our latest research asks a fundamental question: who is responsible for making sure AI is governed effectively when things go wrong? Our 2026 State of Intelligent Automation research, Who Answers for AI: The Governance Gap — Singapore Edition, highlights an interesting picture. Organizations recognize the importance of governance, with 90% reporting that they have a formal AI governance framework. But having a framework is only part of the picture. Are organizations equipped to respond when AI systems fail? Can they identify what went wrong? And do employees have the clarity they need around accountability? The findings point to a gap between having governance in place and putting it into practice. Read the full report: hubs.li/Q04xDbbJ0 #StateOfIntelligentAutomation2026 #AIGovernance #ResponsibleAI #Singapore