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AEM + AI Data Privacy: Catching PII and Consent Violations Before a Page Goes Live

Most AEM privacy incidents aren’t sophisticated breaches they’re a testimonial copy-pasted straight from a support ticket with a real customer’s name and email still in it, published because nobody built a check assuming it needed one. This post shows how pre-publish PII scanning (both pattern-based and contextual), component-level consent tagging gated against live CMP state, and automated privacy-policy alignment checks catch these gaps before publish with every flag routed to a human privacy owner, never resolved automatically.

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AEM + AI Security: Catching Vulnerabilities Before Release, Not After an Incident

Most AEM security incidents aren’t sophisticated zero-days they’re known CVEs that sat in a dependency tree for months, or an injection pattern in custom code that a rushed review missed. This post shows how continuous dependency/CVE scanning on every build, AI-reviewed pull requests for AEM-specific risk patterns (advisory only, human-confirmed), and production anomaly detection close the gap between quarterly audits, without ever auto-remediating a live instance without a security engineer’s sign-off.

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AEM + AI Migration: How to Move Thousands of Legacy Pages Into AEM Without a Multi-Year Project

Most enterprise CMS migrations don’t fail on anything conceptually hard they blow their timeline on the sheer volume of repetitive, page-by-page mapping decisions a team makes by hand. This post shows how AI-based structural fingerprinting classifies legacy content by its actual markup pattern, Claude extracts fields into the target Content Fragment Model (returning null instead of guessing on anything uncertain), and 100%-coverage automated QA catches broken links and missing content before cutover not after launch, from user reports.

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AEM + AI Headless: Designing GraphQL Content Models That Serve Apps, Agents, and Everything Else From One Source

GraphQL on AEM was supposed to end the one-schema-per-channel problem but a sloppy Content Fragment Model just moves the pain downstream. This post covers how to design self-describing, machine-readable schemas, run them through an AI readability review before they ship, and use persisted GraphQL queries as one versioned contract that serves web, mobile, kiosks, and AI agents alike because an agent calling your API unsupervised won’t ask what an ambiguous field means, it’ll just guess.

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AEM + AI Accessibility: How to Keep Thousands of Pages WCAG-Compliant Without a Manual Audit Backlog

Accessibility lawsuits quadrupled between 2021 and 2025, and most trace back to the same handful of fixable issues missing alt text, broken heading order, unlabeled forms. This post shows how AEM Sidekick pre-publish scanning, Claude-generated (human-approved) alt text, and a clear split between auto-fixable and human-review issues catch these failures before they ever reach a live page turning accessibility from a quarterly audit backlog into continuous, authoring-time coverage.

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AEM + AI Search: Building a RAG-Powered Chat Assistant On Top of Your AEM Content

Most site chatbots fail the same way: content gets exported into a separate vector database once, then quietly drifts out of sync with what’s actually published. This post shows how to build a RAG-powered assistant that treats AEM itself as the source of truth — re-indexing content within minutes of publish, retrieving with a hybrid of vector and keyword search, and having Claude answer only from cited sources, declining outright when the content doesn’t cover the question.

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AEM + AI Localization: How to Translate, Review and Publish Content in 20 Languages Without 20x the Headcount

Global brands used to trade speed for market coverage launch in three languages fast, or twenty languages slowly. This post shows how AEM’s Translation Integration Framework, paired with Claude API and AI linguistic QA, removes that trade-off entirely: machine translation handles the first pass, AI QA flags only what needs a human eye, and linguists review translations in context instead of a spreadsheet cutting a twenty-market launch cycle from weeks to days.

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AEM + AI Analytics: How Customer Journey Analytics Turns Page Data Into Next-Best-Action

Most AEM teams still check their analytics dashboard on Monday morning. This post shows how Adobe Customer Journey Analytics and Sensei AI turn that dashboard into a live decision engine one that reads every page, click, and drop-off across your AEM site in real time, automatically ranks the root cause, and routes the fix straight into Real-Time CDP and Adobe Target without waiting for a human to build a new experiment.

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AEM + AI Experimentation: How to Run 100 A/B Tests Simultaneously Without a Data Science Team

Most AEM teams run fewer than five active experiments at any time not because experimentation is hard, but because generating good hypotheses, setting up variants, monitoring results, and promoting winners is slow enough that the backlog never clears. This article shows how to use Claude API, Adobe Target, and App Builder to run 100 simultaneous A/B tests automatically, from analytics-driven hypothesis generation to statistically significant winner promotion, with zero manual steps in between.

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AEM + AI Content Governance: How to Enforce Brand Standards Automatically Across Every Page

AI is making content teams faster than they have ever been a team that published twenty pages a month now publishes two hundred. That acceleration creates a problem nobody planned for: governance at the same velocity. This article shows how to encode brand rules as a Claude API system prompt, scan your entire AEM site nightly, and enforce compliance automatically with pre-publish gates, AEM Inbox workflows, and auto-unpublish for critical violations.

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