This year, enterprises are moving beyond experimentation with AI. Results now matter. At ABBYY Ascend Nashville, discover how purpose-built Document AI turns business-critical documents into trusted, actionable data — powering intelligent automation, informed decision-making, and next-generation AI use cases. Experience it through an immersive, in-person event designed to turn complexity into clarity. Connect with peers, spark innovation, and gain a solid foundation to lead your organization into the future of enterprise AI.
• Achieve measurable ROI from AI driven document workflows
• Reduce processing time, cost, and risk
• Improve accuracy, compliance, and auditability
• Move from automation pilots to scaled outcomes
• Build scalable Document AI using SDKs, APIs, and containers
• Combine purpose built AI with LLMs to boost accuracy
• Architect end to end ingestion and extraction workflows
• Standardize document data with DocTags
• Enable true agent autonomy with semantic document understanding
• Explore adaptive, self adjusting AI workflows
• Balance LLM innovation with deterministic AI reliability
• Design a human centric agentic future
08:30 - 09:10 AM
Ulf Persson, Chief Executive Officer
09:10 – 09:30 AM
Enterprises are moving beyond generic AI toward solutions that deliver reliable, measurable results—especially in the document-heavy workflows that power their business. In this keynote, we introduce how ABBYY’s purpose-built Document AI models and domain-specific VLMs enable agents to read, interpret, and act on business-critical documents with accuracy and confidence. We will share the latest market trends, customer outcomes, and the rapidly growing need for standards-based, trustworthy extraction as the foundation for safe and scalable agentic automation. Attendees will see how high-quality document intelligence is transforming workflows across finance, operations, compliance, and customer experience, and why “intelligence that works” begins with getting your documents right.
Bruce Orcutt, Chief Marketing Officer
09:30 – 9:50 AM
The question today is how to move AI beyond experimentation and embed it deeply across your entire organization. That means building an AI hybrid workforce, architecting a blended technology stack, and making a deliberate choice: do you want to be average, good, great, or elite in the outcomes you deliver?
Scott Klososky brings a unique vantage point to this conversation. Through his firm's hands-on work with organizations striving for elite-level AI adoption, he's seen what separates those who dabble from those who transform. A self-described optimist on the future of synthetic and machine intelligence, his session is equal parts strategic framework and inspiration, helping to define what's ahead and what's possible.
Scott Klososky, Technology Speaker, Author, Consultant, Founder, Future Point of View
9:50 – 10:50 AM
Following the case study, we will present two major awards. First, the Enterprise AI Impact Award, recognizing the organizations that have most successfully transformed document complexity into clarity, setting a new industry standard. Then, we’ll celebrate our ecosystem partners with the Partner Impact Awards, honoring the partners who drive customer success and enhance the value of ABBYY solutions.
Alicja Wolanczyk, Senior Director, Global Partnerships and Alliances
Neil Murphy, Chief Revenue Officer
10:50 - 11:15 AM
11:15-11:45
Generic LLMs promise flexibility but often fail on accuracy, predictability, and cost control in document-heavy workflows. In this session, we demonstrate how ABBYY’s hybrid approach—combining purpose-built Document AI with our GenAI portfolio —delivers fast wins and production-grade performance. Learn how zero-shot extraction, auto-labelling, improved user experience, and domain-specific optimization unlock measurable impact across finance, compliance, operations, and customer onboarding.
Diana Higginbotham, Head of Pre and Post Sales
Jon Knisley, Product Marketing Manager, Process AI
11:45 - 12:30 PM
Go inside ABBYY’s Purpose-Built AI architecture and see how we combine domain-trained document models with foundational LLMs to minimize hallucinations, control token usage, and maximize extraction accuracy. This hands-on session walks through practical implementation patterns that make GenAI usable in real-world document workflows.
Brian Leblond, Director of Pre-Sales
11:45 - 12:30 PM
12:30 – 01:45 PM
01:00 - 01:45 PM
AI adoption without standards increases enterprise risk. In this session, learn how ABBYY is shaping the standard to define how LLMs extract, structure, and validate business-critical documents. Discover how standardized document intelligence reduces compliance risk, ensures consistency across systems, and enables scalable AI governance.
Jon Knisley, Product Marketing Manager, Process AI
Andrew Pery, Digital transformation expert and AI Ethics Evangelist
01:45 – 02:30 PM
Today’s document data formats are fragmented—XML, JSON, hOCR, ALTO—creating integration complexity. This session introduces a new standard for document extraction co-created by ABBYY. Learn how it unifies document structure representation, simplifies downstream integrations, and provides a stable backbone for enterprise-grade AI systems.
Matt Netkow, Senior Product Manager, Workflow & Orchestration
01:45 – 02:30 PM
Agentic automation promises transformation — but without governance, trusted data, and orchestration, it remains a pilot. In this session, we'll show how enterprises move from isolated GenAI use cases to fully orchestrated, business-critical workflows. You’ll learn how: Trusted document intelligence provides decision-ready data for agents. An orchestration layer governs how agents act across systems. Enterprises maintain transparency, compliance, and human oversight. Business leaders measure and scale ROI across claims, onboarding, KYC, finance, and logistics. This session is for business leaders who want to operationalize AI safely — not just experiment with it.
Brook Meier, Director, Product Management
David Brakoniecki, COO / Chief Delivery Officer, BP3
David Weis, Senior Technical Partner Manager, Camunda
02:30 – 03:15 PM
See how to operationalize ABBYY’s Document AI platform at scale using containerized deployments such as Docker. ABBYY engineers will walk through workflow orchestration—from ingestion and extraction to routing and task completion—showing how to build a scalable, high-availability architecture that supports intelligent agents and enterprise automation systems.
Dallas James, Product Manager
02:30 – 03:15 PM
03:15 - 03:30 PM
Joe Lemonnier, Head of Product Marketing & Threat Intelligence, Resistant AI
03:30 – 03:50 PM
Matt Netkow, Senior Product Manager, Workflow & Orchestration
Neil Murphy, Chief Revenue Officer
03:50 – 04:10 PM
Ulf Persson, Chief Executive Officer
04:10 - 04:20 PM
The event transitions into a networking reception at Ascend Central, where attendees can connect with experts and peers. During the Reception, on their booth ABBYY partner Resistant AI will host a dedicated session, offering presentation and live insights into their solutions.
Joe Lemonnier, Head of Product Marketing & Threat Intelligence, Resistant AI
04:20 - 07:00 PM
Chief Executive Officer
Chief Marketing Officer
Chief Revenue Officer
Senior Director, Global Partnerships and Alliances
Product Manager
Product Marketing Manager, Process AI
Digital transformation expert and AI Ethics Evangelist
Head of Pre and Post Sales
Director of Pre-Sales
Senior Product Manager, Workflow & Orchestration
Director, Product Management
Head of Product Marketing & Threat Intelligence, Resistant AI
COO / Chief Delivery Officer, BP3
Senior Technical Partner Manager, Camunda
If you are an ABBYY partner or know a partner who may be interested, please do not register on this page. Please contact us / your ABBYY Partner Account Manager for more information.
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