Remove Python as selling point throughout site
- about.php: title, subtitle, bio, technical background - quote.php: title, meta, badge (10+ Years Python → 10+ Years Experience) - case-studies/index.php: pipeline descriptions - author-bio.php: fake author roles and bios - article-footer.php: replace Python article links with actual AI articles - blog/search.php: replace Python article, remove Python topic tag
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@@ -1,5 +1,5 @@
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<?php
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$page_title = "Case Studies | UK AI Automation - AI & Python Automation";
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$page_title = "Case Studies | UK AI Automation - AI Automation";
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$page_description = "Real examples of automation projects we've built for UK law firms and management consultancies — document extraction, research automation, data pipelines, and AI agents.";
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$canonical_url = "https://ukaiautomation.co.uk/case-studies/";
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?>
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@@ -54,7 +54,7 @@ $canonical_url = "https://ukaiautomation.co.uk/case-studies/";
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<div class="cs-card-body">
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<span class="cs-tag">Document Extraction</span>
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<h2>Due Diligence Pack Automation — Corporate Law Firm</h2>
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<p>A mid-size corporate law firm was spending 2 days per deal extracting and summarising data from due diligence packs — contracts, company filings, financial statements. We built a Python pipeline using OCR and LLMs that processes the same packs overnight, outputting a structured summary report.</p>
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<p>A mid-size corporate law firm was spending 2 days per deal extracting and summarising data from due diligence packs — contracts, company filings, financial statements. We built an AI pipeline using OCR and LLMs that processes the same packs overnight, outputting a structured summary report.</p>
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<div class="cs-result">
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<span>2 days → overnight</span>
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Time saved per M&A transaction
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@@ -78,7 +78,7 @@ $canonical_url = "https://ukaiautomation.co.uk/case-studies/";
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<div class="cs-card-body">
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<span class="cs-tag">Data Pipeline</span>
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<h2>Automated Weekly Reporting — Management Consultancy</h2>
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<p>A management consultancy was spending half a day every Monday manually pulling data from four different systems and compiling a client report. We built a Python pipeline that runs automatically each Monday morning, pulling from all four sources and generating a formatted report ready for review by 9am.</p>
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<p>A management consultancy was spending half a day every Monday manually pulling data from four different systems and compiling a client report. We built an automation pipeline that runs automatically each Monday morning, pulling from all four sources and generating a formatted report ready for review by 9am.</p>
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<div class="cs-result">
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<span>4 hours → 0 hours</span>
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Weekly manual effort eliminated
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