AI Video Production Pipeline (Delivery)

AI Video Production Pipeline (Delivery)

1. 01

   Define the video's purpose and target audience before selecting any tool

   Clarify whether the deliverable is an explainer, testimonial, or social cut. This determines whether an avatar-driven platform or a generative editor fits the brief.

2. 02

   Draft the script and storyboard with brand-specific language and calls to action

   Custom scripting prevents the templated look that generic avatars produce. Include brand voice notes and visual references to keep the output on-message.

3. 03

   Choose the generation tool based on the required realism and editing complexity

   For corporate training or sales enablement, avatar platforms like Synthesia or HeyGen offer quick turnaround. For creative transformations, Runway provides advanced generative editing.

4. 04

   Generate a first pass and review for factual accuracy and brand alignment

   AI output can hallucinate or mispronounce terms. Check all names, numbers, and product claims against the client's approved materials before sharing.

5. 05

   Apply brand styling, captions, and logo overlays in post-production

   Use the platform's brand kit features or a separate editor to add consistent colors, fonts, and watermarks. This step differentiates the final video from raw AI output.

6. 06

   Render in the required aspect ratios and resolutions for each distribution channel

   Produce vertical, square, and horizontal versions as needed. Most platforms support up to 4K, but confirm the client's channel specs to avoid rework.

7. 07

   Deliver the final files with a usage guide and revision log

   Include a brief document listing the AI tools used, any manual edits, and the version history. This transparency builds client trust and supports future iterations.