Posts by tag: AI en https://www.tcgprocess.com/en-en/learning/blog/tag/ai/blog.tag.xml Sat, 18 Apr 2026 04:21:42 +0200 https://www.tcgprocess.com/en-en/learning/blog/revealing-the-role-of-artificial-intelligence-in-process-automation/Mon, 30 Mar 2026 09:00:00 +0200https://www.tcgprocess.com/en-en/learning/blog/revealing-the-role-of-artificial-intelligence-in-process-automation/Discover how artificial intelligence in automation powers smarter processes—and why the platform governing that AI matters just as much as the AI itself. https://www.tcgprocess.com/en-en/learning/blog/ai-vs-ocr/Thu, 12 Feb 2026 15:48:00 +0100Neil Walkerhttps://www.tcgprocess.com/en-en/learning/blog/ai-vs-ocr/AI is powerful, but it only scales with governance and process discipline—just like OCR did. Sustainable value comes from orchestrated, contextualized AI with built-in controls and human oversight where risk demands it. https://www.tcgprocess.com/en-en/learning/blog/how-automation-with-ai-is-revolutionizing-business-operations/Thu, 05 Feb 2026 11:49:55 +0100https://www.tcgprocess.com/en-en/learning/blog/how-automation-with-ai-is-revolutionizing-business-operations/AI alone isn't enough. This article explores how combining intelligent automation with AI serves the process, not the other way around. See how this approach creates value, what technology capabilities matter, and how to implement it without losing control or flexibility. https://www.tcgprocess.com/en-en/learning/blog/from-hype-to-pl/Wed, 05 Nov 2025 16:58:44 +0100Jennifer Bradyhttps://www.tcgprocess.com/en-en/learning/blog/from-hype-to-pl/Most enterprise GenAI projects struggle to deliver measurable returns, with MIT research showing 95% of implementations representing $30-40 billion in investment not achieving ROI. The challenge isn't the technology—it's the approach. Discover how technology-agnostic process orchestration delivers sustainable business value as AI capabilities evolve and improve. https://www.tcgprocess.com/en-en/learning/blog/beyond-the-black-box/Thu, 23 Oct 2025 11:13:10 +0200Rowena Spencerhttps://www.tcgprocess.com/en-en/learning/blog/beyond-the-black-box/AI transparency matters for compliance and trust. Explore how organizations can transform black box AI into auditable, governed business process automation. https://www.tcgprocess.com/en-en/learning/blog/autonomy-vs-control/Tue, 30 Sep 2025 09:29:00 +0200Neil Walkerhttps://www.tcgprocess.com/en-en/learning/blog/autonomy-vs-control/Explore the crucial difference between automation and true AI autonomy. Learn why structured processes and control are the prerequisites to successfully leveraging Agentic AI in your organization. https://www.tcgprocess.com/en-en/learning/blog/a-disruptors-perspective-from-idp-to-end-to-end-process-automation/Mon, 04 Aug 2025 10:43:48 +0200Neil Walkerhttps://www.tcgprocess.com/en-en/learning/blog/a-disruptors-perspective-from-idp-to-end-to-end-process-automation/We're pleased to share that tcg process has once again been named a leading disruptor in infosource's 2025 global capture and intelligent document processing (idp) vendor matrix report. Get started today. https://www.tcgprocess.com/en-en/learning/blog/the-intelligence-gap-in-claim/Thu, 17 Jul 2025 09:44:19 +0200Tracy McCormackhttps://www.tcgprocess.com/en-en/learning/blog/the-intelligence-gap-in-claim/From automation to orchestration: TCG Process helps insurers streamline claims processing for faster, more accurate, and efficient outcomes. https://www.tcgprocess.com/en-en/learning/blog/extractive-vs-generative-ai/Thu, 14 Nov 2024 08:00:00 +0100Rowena Spencerhttps://www.tcgprocess.com/en-en/learning/blog/extractive-vs-generative-ai/Learn about the crucial differences between Extractive AI and Generative AI in intelligent document processing. https://www.tcgprocess.com/en-en/learning/blog/artificial-intelligence-models-for-intelligent-automation/Thu, 10 Aug 2023 09:00:00 +0200Neil Walkerhttps://www.tcgprocess.com/en-en/learning/blog/artificial-intelligence-models-for-intelligent-automation/Learn more about the various AI models that can be used to enhance IDP accuracy, error handling and scalability to ensure optimal results.