AI Podcast Production Pipeline

Overview

What we deliver

We build podcast production pipelines that handle prep, recording, editing, transcripts, show notes, and short-form repurposing.

We design and run AI-assisted podcast production pipelines for brands, agencies, and media teams that publish on a regular cadence and want more output from each episode. Our work covers guest research and prep, run-of-show templates, recording setup, automated transcription, editing, mastering, show notes, chapters, video clips, and social repurposing. We connect Descript, Riverside, and ElevenLabs with your CMS, hosting, and social tools so each episode moves through clear stages without manual rework. We standardize prompts for show notes, blog adaptations, quote cards, and short video clips, and we build a review layer that protects voice, accuracy, and brand. The result is a steady production system that turns each conversation into a full content package, with clear ownership, predictable timelines, and reporting on downloads, retention, and conversions from the show to your funnel.

Fit Check

Built for teams like yours

Who it's for

B2B brands running founder or expert shows
Media teams producing weekly podcasts
Agencies offering podcasts as client content
Sales and ABM teams using podcasts for outreach
Authors and consultants building an audience

Pain points we solve

Slow editing and turnaround between record and publish
Weak repurposing leading to wasted episode value
Inconsistent show notes, chapters, and metadata
Manual handoffs between producers, editors, and marketers
Lack of reporting on what topics drive growth

What's included

Capabilities

Everything we cover in this engagement.

Show strategy, format, and run-of-show templates
Guest research, briefs, and outreach support
Recording setup with Riverside or similar
Automated transcription and Descript-based editing
Show notes, chapters, and SEO-ready metadata
Audiogram and short-form video repurposing
Newsletter and blog adaptations from each episode
Reporting on downloads, retention, and conversions

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Show design

We define audience, format, cadence, and goals.

02

Pipeline build

We connect recording, edit, transcript, and publish tools.

03

Pilot episodes

We produce the first set and refine templates.

04

Repurpose

We add clips, blogs, and social assets per episode.

05

Operate and report

We run weekly production and review performance.

What you get

Deliverables & outcomes

What you get

Show strategy and run-of-show templates
Configured recording and edit pipeline
Transcripts, show notes, and chapter system
Short-form clip and audiogram templates
Blog and newsletter adaptation flow
Monthly performance report

Outcomes you can expect

Faster turnaround from record to publish
More clips and assets per episode
Higher download and retention numbers
Consistent show notes and SEO metadata
Clear view of which topics drive funnel value

Timeline

Four to eight weeks to launch, then ongoing

Engagement

Monthly retainer, Project, Sprint

Tools we use

Riverside, Descript, ElevenLabs, Otter, Captivate, Buzzsprout, Notion, Buffer

KPIs we track

Episodes published per month, downloads per episode, average listen-through rate, clips produced per episode, leads attributed to the show

Client stories

What clients say

"

We had been prototyping an AI quoting agent for nine months and could not get it past demo quality. They came in, scoped a real eval set, swapped our retrieval layer, and added guardrails for the edge cases that kept burning us. Went live in seven weeks. It now handles 41 percent of inbound quote requests without a human touching them.

Kyle A.

"

We had 14 cornerstone pages stuck on page two for 18 months. Their SEO crew rewrote the internal linking, cleaned up our schema, and shipped 22 supporting briefs over a quarter. Eight of those pages broke top three by month five. Organic pipeline went from a trickle to our second-largest source. Felt like watching interest compound.

James T.

Proof