Before you add repurposing to a retainer, the client-side question is almost always about speed: how long from "the episode dropped" to "posts are ready for the client to approve"? The honest answer depends on where the time actually goes - and most of it isn't the AI step.
What actually takes time in the current workflow
In a manual process, the slow part was never writing - it was the round trip: someone has to listen back to the episode (or read a summary), draft a post that sounds like the client, send it for review, wait for edits, and repeat. Two or three of those cycles is normal, and each one adds a day or more depending on the client's calendar.
A recording-first workflow removes the "listen back and draft from memory" step, since drafts are generated directly from the transcript. What's left is upload time, processing time, and the review cycle - which is where the real speed comes from.
The parts that are fast
Upload is as fast as pulling the episode's YouTube link or grabbing the file from the host's shared folder - no download-and-reupload required if it's already in Drive, Dropbox, or OneDrive. Processing a 30-45 minute episode into a batch of draft posts happens in minutes, not hours, once the file or link is in.
That means the placement can go from "episode is live" to "a batch of drafts sitting in the client's account, ready for review" the same day it airs - while the host is still actively promoting it and the client's network is most likely to see a follow-up post.
The part that stays a review step, on purpose
Speed here doesn't mean skipping review. Every draft still goes through your team's QA pass and the client's final approval before anything publishes - that's what keeps posts accurate and keeps the client's trust in the process. What changes is what the review step is reviewing: polished drafts already in the client's voice, not a blank page someone has to write from scratch under a deadline.
In practice, that turns a placement's content plan from "we'll get to it when someone has time" into a same-week task - which is the difference between a placement that keeps earning attention past launch day and one that quietly stops mattering by Friday.
A same-day timeline, hour by hour
Episode drops in the morning. By midday, the file or YouTube link is uploaded to the client's account and processing is already done - that step takes minutes regardless of episode length. Early afternoon, the account lead does a first-pass QA on the drafts, flagging anything that needs a tweak or that references something the client wouldn't want public. By end of day, the batch goes to the client for final approval. That's a placement going from "just aired" to "ready to publish" within one business day - not because anyone rushed the judgment calls, but because nobody spent that day re-listening to a transcript from scratch.
Compare that to the manual version: day one is spent finding time to listen back, day two is a first draft, day three or four is the first round of client edits, and the placement is a week old by the time anything actually publishes - well past the point where the host's own promotion of the episode was still driving traffic to it.
What determines the range
Episode length affects processing time only marginally - a 45-minute episode and a 15-minute segment both process in minutes, not hours. What actually varies the turnaround is how fast the file or link becomes available (same-day if the host shares promptly, longer if you're waiting on them) and how much QA a given client's account needs, which drops as their voice profile matures across placements.
See the full workflow, including how speaker selection keeps drafts in only the client's voice, in how PR firms turn a placement into two weeks of LinkedIn content, why the turnaround matters in the first place in why a media placement isn't a LinkedIn strategy, or go straight to SparkVox for PR firms.