AI Video Concept → Client Review → Approved Assets Library

intermediate20 minPublished Apr 30, 2026
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Streamline creative agency workflows by generating video concepts with AI, collecting client feedback, and organizing approved assets. Reduces concept-to-approval time from days to hours.

Workflow Steps

1

Runway ML

Create video concept variations

Generate 3-5 different video concept variations based on the client brief using Runway's video generation tools. Create short clips showcasing different visual styles, moods, and approaches to the same concept.

2

Frame.io

Share for client review

Upload concept videos to Frame.io and create a review link for the client. Set up review settings to collect timestamped feedback, comments, and approval status for each concept variation.

3

Zapier

Trigger on approval

Set up a Zapier automation that triggers when a video receives approval in Frame.io. The automation extracts approved video metadata and client comments for the next step.

4

Notion

Archive in asset library

Automatically create a new database entry in Notion's asset library containing the approved video, client feedback, project details, and tags. Include download links and usage rights information for future reference.

Workflow Flow

Step 1

Runway ML

Create video concept variations

Step 2

Frame.io

Share for client review

Step 3

Zapier

Trigger on approval

Step 4

Notion

Archive in asset library

Why This Works

Eliminates the back-and-forth email chains typical in creative approval processes while automatically organizing approved concepts for future reuse and reference

Best For

Creative agencies managing multiple client video projects and concept approvals

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Deep Dive

How to Automate Video Concept Approval with AI in 2024

Streamline creative workflows from concept to approval. Generate AI video concepts in Runway ML, collect client feedback in Frame.io, and auto-archive approved assets in Notion.

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