Webinars, client calls and drafts are automatically transcribed and repurposed by AI into newsletters, LinkedIn posts and short clips scripts — reviewed in one queue and scheduled across channels without copy-paste.
Typical results
5 hrs
Saved every week
1
Review queue for everything
0
Silent weeks on the calendar
Figures reflect typical results for this kind of automation.
The challenge
The team produced excellent webinars and client sessions, but turning them into publishable content meant hours of transcribing, cutting and rewriting. Content went out in bursts before deadlines, then channels fell silent for weeks.
Before and after
Assets per recording
12×Weekly hours on repurposing
−83%Posts published per month
3.1×The automation
Every recording now flows into a pipeline that transcribes it, extracts the strongest insights, and drafts channel-specific assets — a newsletter section, LinkedIn posts in the brand voice, and clip scripts with timestamps. Drafts wait in a review queue; one approval schedules them across the content calendar automatically.
How it works
- 01
Recording lands
Webinars, client calls and drafts flow into the pipeline automatically.
- 02
Transcribe and mine
AI transcribes the session and extracts the strongest insights.
- 03
Channel drafts
A newsletter section, LinkedIn posts in the brand voice, and clip scripts with timestamps are drafted.
- 04
One review queue
The team approves or tweaks everything in a single place — no copy-paste.
- 05
Scheduled everywhere
Approved assets are queued across channels, keeping the calendar full.
Starts from
- Webinars & calls
- Blog drafts
Delivers
- Newsletter
- Social posts
- Scheduled queue
The impact
A single webinar now yields about a dozen ready assets, the team saves roughly five hours a week, and publishing became consistent — the calendar stays full even in the busiest client weeks.
Questions about this automation
What kinds of source material can go into the pipeline?
Webinar recordings, recorded calls, podcast episodes and written drafts all work. Recordings are transcribed first, and written drafts go straight to the extraction step. Files can arrive from a meeting tool, a shared folder or a form, and each one is tagged with the brand or topic it belongs to.
How does the AI keep posts in the brand voice?
Each brand gets a voice guide with its tone, words to avoid and a few approved past posts as examples. The AI drafts every asset against that guide and keeps the speaker's actual points and key lines from the transcript. Nothing is published until a person approves it in the review queue.
Where do approved assets get published?
Approved assets go into the content calendar and are scheduled through the tools the team already uses, such as a newsletter platform and a social media scheduler. Each asset keeps a link to its source recording. This is a multi-step build, usually rolled out in stages, starting with transcription and the review queue.