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    <title>AIYatch Insights</title>
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    <lastBuildDate>Tue, 11 Aug 2026 00:00:00 GMT</lastBuildDate>
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      <title>Measuring AI ROI honestly: a method that survives the finance review</title>
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      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <description>How to measure the return on an AI project without fooling yourself: baselines, full costs, holdout attribution, leading indicators and inflated-ROI red flags.</description>
      <category>Strategy</category><category>Analytics</category>
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      <title>Multimodal AI in real business workflows: where it earns its place</title>
      <link>https://aiyatch.com/blog/multimodal-ai-business-workflows</link>
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      <pubDate>Tue, 30 Jun 2026 00:00:00 GMT</pubDate>
      <description>Vision-language and audio models now read forms, photos, screenshots and calls directly. Where multimodal AI beats OCR-then-LLM, with examples, limits and cost.</description>
      <category>Computer Vision</category><category>LLMs</category><category>Automation</category>
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      <title>MLOps basics for teams shipping their first model</title>
      <link>https://aiyatch.com/blog/mlops-basics-first-model</link>
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      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
      <description>The minimum MLOps a team needs to put a first model into production safely: versioning, reproducible training, a registry, serving, monitoring and rollback.</description>
      <category>MLOps</category><category>Product</category>
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      <title>Open-source LLMs on-prem: when private AI actually makes sense</title>
      <link>https://aiyatch.com/blog/open-source-llms-on-prem</link>
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      <pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate>
      <description>Llama, Mistral and Qwen can run inside your own walls, but should they? When on-prem LLMs pay off, how to size them, and when a hosted API is the smarter call.</description>
      <category>LLMs</category><category>MLOps</category><category>Strategy</category>
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      <title>Churn prediction that sales teams actually use</title>
      <link>https://aiyatch.com/blog/churn-prediction-sales-teams-use</link>
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      <pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate>
      <description>How to build a churn model that changes behaviour: a clear definition, no leakage, calibrated scores, ranked lists with reasons and holdout-measured lift.</description>
      <category>Analytics</category><category>Strategy</category>
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      <title>Computer vision defect detection on the factory floor: how to get it right</title>
      <link>https://aiyatch.com/blog/computer-vision-defect-detection</link>
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      <pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate>
      <description>A practical guide to visual inspection with computer vision: lighting first, labelling, anomaly detection, edge latency, PLC integration and drift.</description>
      <category>Computer Vision</category><category>MLOps</category>
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      <title>AI invoice and document processing: a practical playbook</title>
      <link>https://aiyatch.com/blog/ai-invoice-document-processing-playbook</link>
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      <pubDate>Tue, 02 Dec 2025 00:00:00 GMT</pubDate>
      <description>How to automate invoice and document processing with OCR and LLM extraction: schemas, validation, PO matching, confidence-based review and ERP push.</description>
      <category>Automation</category><category>NLP</category><category>Integrations</category>
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      <title>AI chatbots for customer support: what actually works</title>
      <link>https://aiyatch.com/blog/ai-chatbots-for-customer-support</link>
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      <pubDate>Wed, 12 Nov 2025 00:00:00 GMT</pubDate>
      <description>Beyond the demo: how to design a support assistant that resolves issues, hands over gracefully and earns its keep.</description>
      <category>Conversational AI</category><category>LLMs</category><category>Product</category>
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      <title>WhatsApp AI chatbots for e-commerce: what to build and what to avoid</title>
      <link>https://aiyatch.com/blog/whatsapp-ai-chatbots-for-ecommerce</link>
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      <pubDate>Tue, 21 Oct 2025 00:00:00 GMT</pubDate>
      <description>How to launch a WhatsApp AI assistant for an online store: Meta approval, templates vs sessions, order tracking, cart recovery, integrations and hand-off.</description>
      <category>Conversational AI</category><category>Integrations</category><category>Automation</category>
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      <title>NLP for business: turning feedback, tickets and documents into decisions</title>
      <link>https://aiyatch.com/blog/nlp-for-business-insights</link>
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      <pubDate>Thu, 02 Oct 2025 00:00:00 GMT</pubDate>
      <description>A practical guide to using natural-language processing on the unstructured text your company already has.</description>
      <category>NLP</category><category>Analytics</category>
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      <title>RAG vs fine-tuning: a decision guide</title>
      <link>https://aiyatch.com/blog/rag-vs-fine-tuning</link>
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      <pubDate>Tue, 09 Sep 2025 00:00:00 GMT</pubDate>
      <description>RAG changes what a model knows; fine-tuning changes how it behaves. A practical guide to choosing between them, combining them and evaluating either.</description>
      <category>RAG</category><category>Fine-tuning</category><category>LLMs</category>
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    <item>
      <title>Integrating GPT-class models into enterprise workflows</title>
      <link>https://aiyatch.com/blog/gpt-integration-for-enterprise</link>
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      <pubDate>Thu, 21 Aug 2025 00:00:00 GMT</pubDate>
      <description>Where large language models earn their place in the enterprise, and the architecture that keeps them safe, cheap and measurable.</description>
      <category>LLMs</category><category>Integrations</category><category>Strategy</category>
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    <item>
      <title>How to run an AI feasibility study in two weeks</title>
      <link>https://aiyatch.com/blog/ai-feasibility-study-in-two-weeks</link>
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      <pubDate>Tue, 15 Jul 2025 00:00:00 GMT</pubDate>
      <description>A day-by-day plan for deciding whether an AI use case is worth building: discovery, data audit, a thin prototype on real data, a cost model and a go/no-go memo.</description>
      <category>Strategy</category><category>Product</category>
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      <title>RAG knowledge bases: a field guide</title>
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      <pubDate>Tue, 10 Jun 2025 00:00:00 GMT</pubDate>
      <description>Retrieval-augmented generation explained for decision-makers: how it works, where it breaks, and how to make it production-grade.</description>
      <category>RAG</category><category>LLMs</category>
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      <title>AI agents vs automation: when to use which</title>
      <link>https://aiyatch.com/blog/ai-agents-vs-automation</link>
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      <pubDate>Tue, 06 May 2025 00:00:00 GMT</pubDate>
      <description>Deterministic workflows and LLM agents solve different problems. Here is how to choose between them, and how to combine both without losing control.</description>
      <category>AI Agents</category><category>Automation</category><category>Strategy</category>
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    <item>
      <title>Building custom AI plugins for CRMs, e-commerce and SaaS platforms</title>
      <link>https://aiyatch.com/blog/ai-plugin-development</link>
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      <pubDate>Tue, 15 Apr 2025 00:00:00 GMT</pubDate>
      <description>How to add AI where your team already works, inside the tools they use, with agents that respect approvals and audit trails.</description>
      <category>AI Agents</category><category>Automation</category><category>Integrations</category>
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    <item>
      <title>AI phone agents for small business: what they cost and how they work</title>
      <link>https://aiyatch.com/blog/ai-phone-agents-for-small-business</link>
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      <pubDate>Tue, 18 Mar 2025 00:00:00 GMT</pubDate>
      <description>How an AI phone agent answers, understands and acts on a call, what drives the monthly bill, and when a small business should not build one at all.</description>
      <category>Voice AI</category><category>Conversational AI</category><category>Automation</category>
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    <item>
      <title>Data analysis for growth: from spreadsheets to decisions</title>
      <link>https://aiyatch.com/blog/data-analysis-for-growth</link>
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      <pubDate>Wed, 05 Feb 2025 00:00:00 GMT</pubDate>
      <description>Why most companies should start their AI journey with rigorous analysis of the data they already have, and how to do it in weeks.</description>
      <category>Analytics</category><category>Strategy</category>
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