AI Projects Are Failing | Here's What Everyone Gets Wrong episode artwork

EPISODE · Apr 14, 2026 · 53 MIN

AI Projects Are Failing | Here's What Everyone Gets Wrong

from An Hour of Innovation with Vit Lyoshin · host Vit Lyoshin

Most AI projects fail because of messy data, not the LLM models everyone blames.In this episode of An Hour of Innovation, Vit Lyoshin speaks with Max Vermeir, VP of AI Strategy at ABBYY, about why AI and LLM implementations fail in real business environments. They break down how unstructured data, document processing, and real-world constraints impact AI systems far more than the models themselves. This conversation goes beyond AI hype to explore what actually works when building AI products in production.They discussed:* Why most AI projects fail in enterprise environments* The real challenge of unstructured data for LLMs* How document AI impacts business automation and workflows* Deterministic vs probabilistic AI systems explained simply* Why LLMs always return answers, even when incorrect* Hidden costs of using AI models in production systems* Why simple solutions often outperform complex AI models* What product managers misunderstand about AI implementation* Framework for building reliable AI products in production* Future of AI agents and engineering productivity shiftsMax Vermeir is the VP of AI Strategy at ABBYY, where he focuses on applying AI to real-world business problems, especially around document processing and automation. He works at the intersection of AI technology and enterprise systems, helping organizations turn unstructured data into usable insights. Max is known for his practical, no-hype perspective on AI, focusing on what actually works in production rather than demos. His experience gives him a unique view into why many AI projects fail and how to build systems that deliver real value.Timestamps00:00 Introduction01:35 AI in Business Operations03:56 Understanding Document AI06:57 Challenges in Document Processing10:15 The Importance of Data Accuracy11:59 Deterministic vs. Probabilistic AI16:38 High ROI Use Cases for Document AI18:50 Common Underestimations in AI Product Development21:48 Engineering Challenges in AI Projects25:26 Implementing AI Feature as a Product Manager27:36 Frameworks for AI Implementation32:00 The Impact of AI on Engineering Productivity35:35 Skills for the Future: Adapting to AI40:08 The Resurgence of Command Line Interfaces41:55 The Rise of AI Agents47:55 Innovation Q&AConnect with Max* Website: https://www.abbyy.com/ * LinkedIn: https://www.linkedin.com/in/maximevermeir/ This Episode Is Supported By* WhatConverts: Prove and Grow Marketing ROI.https://partners.whatconverts.com/fwkyx76c8teq* Webflow: Create custom, responsive websites without coding.https://try.webflow.com/0lse98neclhe* Vista Social: Effortlessly manage high volumes of content across multiple social media channels.https://join.vistasocial.com/nxb7u28wvd25* Optery: Remove your home address, phone, and other private info from Google, and 955+ sites.https://get.optery.com/tqehvz2yvwym For inquiries about sponsoring An Hour of Innovation, email [email protected] Connect with Vit* LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * Substuck: https://anhourofinnovation.substack.com/ * X: https://x.com/vitlyoshin

Most AI projects fail because of messy data, not the LLM models everyone blames.In this episode of An Hour of Innovation, Vit Lyoshin speaks with Max Vermeir, VP of AI Strategy at ABBYY, about why AI and LLM implementations fail in real business environments. They break down how unstructured data, document processing, and real-world constraints impact AI systems far more than the models themselves. This conversation goes beyond AI hype to explore what actually works when building AI products in production.They discussed:* Why most AI projects fail in enterprise environments* The real challenge of unstructured data for LLMs* How document AI impacts business automation and workflows* Deterministic vs probabilistic AI systems explained simply* Why LLMs always return answers, even when incorrect* Hidden costs of using AI models in production systems* Why simple solutions often outperform complex AI models* What product managers misunderstand about AI implementation* Framework for building reliable AI products in production* Future of AI agents and engineering productivity shiftsMax Vermeir is the VP of AI Strategy at ABBYY, where he focuses on applying AI to real-world business problems, especially around document processing and automation. He works at the intersection of AI technology and enterprise systems, helping organizations turn unstructured data into usable insights. Max is known for his practical, no-hype perspective on AI, focusing on what actually works in production rather than demos. His experience gives him a unique view into why many AI projects fail and how to build systems that deliver real value.Timestamps00:00 Introduction01:35 AI in Business Operations03:56 Understanding Document AI06:57 Challenges in Document Processing10:15 The Importance of Data Accuracy11:59 Deterministic vs. Probabilistic AI16:38 High ROI Use Cases for Document AI18:50 Common Underestimations in AI Product Development21:48 Engineering Challenges in AI Projects25:26 Implementing AI Feature as a Product Manager27:36 Frameworks for AI Implementation32:00 The Impact of AI on Engineering Productivity35:35 Skills for the Future: Adapting to AI40:08 The Resurgence of Command Line Interfaces41:55 The Rise of AI Agents47:55 Innovation Q&AConnect with Max* Website: https://www.abbyy.com/ * LinkedIn: https://www.linkedin.com/in/maximevermeir/ This Episode Is Supported By* WhatConverts: Prove and Grow Marketing ROI.https://partners.whatconverts.com/fwkyx76c8teq* Webflow: Create custom, responsive websites without coding.https://try.webflow.com/0lse98neclhe* Vista Social: Effortlessly manage high volumes of content across multiple social media channels.https://join.vistasocial.com/nxb7u28wvd25* Optery: Remove your home address, phone, and other private info from Google, and 955+ sites.https://get.optery.com/tqehvz2yvwym For inquiries about sponsoring An Hour of Innovation, email [email protected] Connect with Vit* LinkedIn: https://www.linkedin.com/in/vit-lyoshin/ * Substuck: https://anhourofinnovation.substack.com/ * X: https://x.com/vitlyoshin

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AI Projects Are Failing | Here's What Everyone Gets Wrong

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This episode was published on April 14, 2026.

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Most AI projects fail because of messy data, not the LLM models everyone blames.In this episode of An Hour of Innovation, Vit Lyoshin speaks with Max Vermeir, VP of AI Strategy at ABBYY, about why AI and LLM implementations fail in real business...

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