Video & Podcast
You already know Otter.ai can capture and transcribe your meetings, interviews, and recordings. The problem is that raw transcripts don't organize themselves, and turning them into something useful takes time you don't have. Nacho's fractional specialists log into your Otter.ai account, clean up your transcript library, build folder structures, and connect your recordings to the rest of your content or documentation workflow. You get the output without spending hours inside the platform yourself.
What we do
Concrete work our fractional specialists take on inside your Otter.ai account. No vague promises.
We audit your existing Otter.ai workspace and build a folder hierarchy that matches how your team actually works, whether that's by client, project, show, or meeting type. Naming conventions are standardized so transcripts are searchable and retrievable without manual hunting. If you have multiple workspaces or team members under one account, we organize those too.
Automated transcripts contain speaker misattributions, filler words, and terminology errors that make them hard to use downstream. We review and correct speaker labels, fix proper nouns and industry-specific terms, and remove content that shouldn't be in the final record. The result is a transcript that can be shared with a client, dropped into a doc, or handed to an editor without embarrassment.
We go through completed transcripts and pull out the content your team actually needs: follow-up tasks, decisions made, notable quotes for marketing, or key takeaways for a recap email. These are delivered in whatever format fits your workflow, a shared doc, a project management task, a Slack message, or a formatted summary inside the transcript note itself. This turns every recorded meeting or interview into a usable artifact.
For podcast hosts and video producers, we take Otter.ai transcripts and format them for show notes, blog posts, or caption files. We apply your brand voice guidelines, pull the strongest quotes for social content, and structure each piece so it's ready for your editor or publishing platform with minimal revision. This removes the gap between recording something and actually publishing it.
We set up and maintain Otter.ai's native integrations with Zoom, Google Meet, and Microsoft Teams so recordings are captured automatically without manual imports. Where Otter.ai connects to tools like Notion, Slack, or Zapier, we configure those handoffs so transcripts and summaries land where your team already works. We document every integration so nothing breaks silently when a tool updates.
If you have months or years of recordings sitting in Otter.ai with no consistent structure, we conduct a full library audit: identifying unlabeled recordings, correcting misfiled transcripts, flagging duplicates, and building a remediation plan. We then work through the backlog systematically so your archive becomes a resource rather than a pile. This is especially common for teams that onboard Otter.ai without a setup plan.
The handoff
During onboarding, your dedicated Client Success Manager reviews your current Otter.ai setup, including your workspace structure, any existing integrations, and the volume and type of recordings you generate. From that audit, we build a Strategic Delegation Plan that prioritizes which Otter.ai tasks to hand off first based on where your time is being lost. Your assigned specialist works directly inside your Otter.ai account using access you control and can revoke at any time. Every workflow we build is documented so you understand what was done and why, and you approve the structure before we move into ongoing maintenance. As your recording volume or content needs change, we adjust the scope without requiring a new onboarding process.
Use cases
A few of the most common workflows our team has deployed with Otter.ai.
When a Zoom meeting ends, Otter.ai captures the transcript automatically via the Zoom integration. We review and correct the transcript, extract action items and decisions, and post a formatted summary to the relevant Notion page so the meeting record is usable within 24 hours.
After each podcast episode is recorded in Otter.ai, we clean the speaker labels, pull the three to five strongest quotes, and draft show notes in your standard format. The output goes to your editor or directly into your publishing tool, cutting your post-production time per episode significantly.
After a client call is transcribed in Otter.ai, we extract every commitment or next step mentioned and create corresponding tasks in your project management tool (Asana, ClickUp, or similar). This eliminates the lag between a call ending and your team knowing what to do next.
On a recurring schedule, we review the previous month's recordings in your Otter.ai workspace, confirm they are correctly labeled and filed, archive completed project folders, and flag any recordings that need additional cleanup or follow-up. This keeps the library from drifting back into disorder.
We take the Otter.ai transcript from a recorded video interview, identify the most quotable and substantive segments, and draft a structured blog post along with five to ten pull quotes formatted for LinkedIn or Instagram. Each piece is ready for your review before publishing, with no blank-page work required from you.
Talent Budget
Drag the sliders to build a monthly plan that fits your workload.
Starting at $1,000/month. One-time $300 onboarding fee includes your Strategic Delegation Plan.
Good questions
Ready when you are
Book a discovery call and we will review your current Otter.ai workspace, identify where time is being lost, and outline a prioritized plan for what to hand off first. You will leave the call with a clear picture of what fractional Otter.ai support would actually look like for your business.