Linguistic Communication — AI-Assisted EdTech Platform

Unified three business lines into a multilingual LMS + commerce stack with AI-authored curricula, automated billing, and instant enrollment.

Role: Solo full-stack consultant (product, platform, ops)Timeframe: 11-week build + pilot launchStack: WordPress • LearnPress • WooCommerce • Elementor Pro • WPML • n8n • Stripe • PayPal
WordPressLearnPressWooCommerceElementorStripeWPMLAI AutomationDevSecOpsGDPRObservability
Linguistic Communication — AI-Assisted EdTech Platform
Course build time
4h → 18 min
Admin overhead
-60%
Lead-to-enroll
+31%

Context

S — Linguistic Communication teaches corporate and academic English across Parisian engineering schools. The team juggled 150+ programs spread over spreadsheets, disconnected landing pages, and manual invoicing. Stakeholders needed a unified LMS that non-technical staff could update, with automated payments and GDPR-grade governance. T — I was engaged to architect an AI-assisted WordPress platform that merged course authoring, commerce, localization, and analytics into one opinionated system without increasing operating cost.

Threats

  • Fragmented plugin ecosystem meant every release risked regressions or plugin conflicts.
  • Manual course creation created inconsistent metadata, hampering SEO and reporting.
  • Payment flows had to support Stripe, PayPal, and offline transfers while staying PCI/GDPR compliant.
  • Bilingual UX (FR/EN) needed to avoid duplicate content debt.
  • Performance budgets demanded <2s load time despite heavy LMS features.

Approach

  1. Modeled the entire offering inside LearnPress + WooCommerce with opinionated taxonomies (level, sector, credential) so staff could drag-and-drop programs without editing PHP.
  2. Built an AI-assisted authoring pipeline: GPT-generated XML templates populate lessons/quizzes, validated through custom WP CLI scripts before import.
  3. Automated payments + enrollment with WooCommerce hooks — every paid order auto-enrolls the learner, triggers n8n confirmations, and syncs to accounting.
  4. Applied privacy-by-design: tokenized payments, consent banners, data-retention cron jobs, and WP Activity Log for audit trails.
  5. Implemented WPML-powered localization with shared components; translators update strings once and propagate to Elementor + LearnPress instances.
  6. Instrumented performance guardrails (Seraphinite Accelerator, image CDN, script deferral) and set Lighthouse budgets in CI.
  7. Gave staff a documented design system: Elementor containers, typography tokens, and reusable CTA blocks tested for accessibility (WCAG 2.1 AA).
  8. Deployed hardened Hostinger stack with daily encrypted backups, staging sync, and application-level WAF.
  9. Created analytics cockpit via Google Site Kit + Plausible, surfacing enrollment funnels, cart drop-offs, and cohort engagement per program.

Outcome

Content teams now publish full multi-section courses in under 20 minutes, replacing copy/paste workflows that took half a day. Automated billing removed 100% of manual invoicing errors, while page speed and structured data lifted SEO ranks for 'cours d’anglais professionnel' into Google’s top 3 locally. Admin workload dropped 60%, and the business onboarded two new enterprise accounts within the first month because curriculum proposals could be prototyped live during sales calls.

Lessons Learned

Enterprise WordPress can operate like a SaaS product if you treat infrastructure, content modeling, and operations as one roadmap. The winning move was pairing no-code flexibility (Elementor) with governed patterns (AI templates, design tokens) so creativity never violated compliance or accessibility.

    Linguistic Communication — AI-Assisted EdTech Platform — Case Study