CASE STUDY

Podcast Automation

An end-to-end AI Podcast Automation Agent that transforms industry news into published podcast episodes with human-in-the-loop.

Location

UK

95%

time reduction

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Brief

A serial entrepreneur running multiple ventures needed a way to produce podcasts at scale without the overhead of traditional production. The goal was straightforward: build an automation system that could identify trending topics, generate compelling scripts, create audio content, and distribute episodes across major platforms—all with minimal human oversight.

We designed and delivered an MVP that validated the concept while laying the groundwork for scalable growth across multiple ventures.

The challenge

Our client faced a common scaling problem:

  • Time constraints: Manual podcast production consumed entire days per episode

  • Resource limitations: Hiring production teams for each venture wasn't financially viable

  • Consistency gaps: Maintaining regular publishing schedules without dedicated staff

  • Distribution complexity: Managing uploads across multiple podcast platforms manually

The vision was ambitious: create an "always-on" content engine that could power thought leadership across multiple businesses simultaneously.

Our AI solution

We built a comprehensive podcast automation system using n8n as the orchestration backbone, integrated with leading AI services for content generation and audio production.

Core AI infrastructure

1.     Intelligent Content Discovery

  • Automated daily scraping of niche-relevant news sources

  • Human-in-the-loop approval for final content selection

2.     Dynamic Script Generation

  • AI-powered scriptwriting aligned with brand voice and target audience

  • Consistent quality control through templated frameworks

3.     Professional Audio Production

  • ElevenLabs GenFM integration for natural-sounding AI voices

  • Automated generation of show notes and episode descriptions

  • Quality-assured audio files ready for immediate publishing

4.     Seamless Distribution

  • Transistor integration for direct publishing to major platforms

  • Automated RSS feed management

  • Simultaneous distribution to Spotify, Apple Podcasts, Google Podcasts, and Amazon Podcasts

Measurable impact

Production Efficiency

  • 95% time reduction: From days of manual work to under 1 hour per episode

  • Consistent output: Reliable 2-episode weekly cadence without content team dependency

  • Parallel scaling: Multiple podcast series running simultaneously across different ventures

Business Results

  • Cost optimisation: Fraction of traditional podcasting expenses

  • Multi-platform reach: Automated publishing across 4 major podcast platforms

  • Quality maintenance: Structured scripts with proven engagement elements

  • Future-ready foundation: Modular architecture ready for expansion into YouTube Shorts, social reels, and AI avatar content

Video overview

Watch a short walkthrough of the end-to-end automation:

Key takeaways

This implementation demonstrates how strategic AI automation can revolutionise content production. By combining intelligent research, dynamic scriptwriting, and professional audio generation within smart workflows, we created a true "always-on" content engine.

For ambitious entrepreneurs, this proves that omnipresence across digital channels is achievable without proportional increases in effort or overhead. The result: scalable thought leadership that grows with your business, not against it.

Work with Applied AI Co

AI Workshops. AI Roadmaps. AI Automation. We help marketing teams use AI in ways that are actually useful, so you deliver faster, make more content, and get sharper insights. We build with your team so your in-house AI capability grows. To scope a workshop or an AI build, email hello@appliedaico.com