AI Content Systems & High-Compliance Editorial

Building scalable content pipelines for iGaming, compliance-heavy sectors, and AI-augmented operations

If you're implementing AI content systems or operating in sectors where compliance errors have real consequences, you need someone who understands both the technical architecture and the editorial standards.

I've spent 36+ months designing and maintaining AI-augmented content systems for Traffic Lab (iGaming). I've also built LLM pipelines for Berlitz's language education platform and edited high-compliance content across automotive and finance sectors.

I build the systems that produce consistent, compliant content at scale, not just write individual pieces.

LLM Specialist & Workflow Architect: Traffic Lab (2022–Present) 36+ months designing and iterating AI content systems for iGaming — from custom GPT to a two-stage Gemini Deep Research pipeline.

What I Build

AI Content Pipeline Design

  • Custom LLM workflows (GPT, Claude, Gemini)
  • Multi-stage quality control frameworks
  • Anti-plagiarism and fact-checking protocols
  • Human-in-the-loop editorial layers
  • Python automation for content operations

High-Compliance Content Editing

  • iGaming: Casino reviews, licensing verification, bonus term accuracy
  • Automotive: Technical specifications, regulatory compliance
  • DeFi: Protocol accuracy, risk disclosures
  • Finance: Regulatory claims, compliance terminology

Case Study: Traffic Lab (iGaming AI Systems)

The challenge

Scale casino review production while maintaining regulatory compliance and editorial quality in a legally sensitive vertical, as LLM technology evolved rapidly.

What I built

Designed an AI-augmented content system that evolved from a custom GPT approach to a two-stage Gemini Deep Research pipeline. Built quality control frameworks, compliance checks, and editorial review layers throughout.

Results

  • 36+ months ongoing engagement (2022–Present)
  • Reduced per-review production time while maintaining compliance standards
  • Systems successfully adapted across multiple LLM generations (GPT-3.5 → GPT-4 → Gemini)
  • Zero compliance issues from AI-generated content

Case Study: Berlitz (AI Prompt Engineering)

The challenge

Design prompts for a language tutor LLM that produce pedagogically sound instruction at scale: accurate, natural, and calibrated to learner level.

What I did

Applied 13+ years of teaching experience to prompt engineering for one of the world's largest language education organisations, balancing technical accuracy, natural language, and learner-appropriate tone across multiple iterations.

Who This Is For

I'm a good fit if you:

  • Need to implement AI content systems with quality control built in from the start
  • Operate in compliance-heavy sectors (iGaming, finance, automotive)
  • Want to scale content production without sacrificing regulatory accuracy
  • Need both the technical implementation and the editorial standards
  • Value long-term system maintenance over one-off builds

Rates

AI workflow design: $60–80/hour

Compliance editing: $50–70/hour

Project-based pricing available for system builds and longer engagements.

Ready to Build?

Tell me about your content challenges and I'll let you know if we're a good fit.

Email: rich@richard-bowe.com

Describe your sector, content volume, and what you're trying to solve. I'll come back within one business day.