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AI and Automation

AI Video Generation Pipelines (Runway, Veo, Sora)

Production-grade pipelines for AI video using Runway, Veo, and Sora.

Overview

What we deliver

We build repeatable AI video generation pipelines that turn briefs and scripts into finished clips using Runway, Veo, Sora, and post tools.

We design and operate AI video generation pipelines for marketing, product, and content teams that need consistent output without growing headcount. Our work starts with a clear brief and style guide, then connects scriptwriting, shot planning, model selection, prompt libraries, asset ingestion, rendering, review, and publishing into one workflow. We use Runway, Veo, and Sora alongside upscalers, voice tools, and editors, and we wire the pipeline into your storage and project management tools. We track quality through structured QA steps, version logs, and reusable templates so each new video is faster and more on-brand than the last. The result is a controlled system that produces ads, explainers, social cuts, and long-form sequences on schedule, with predictable costs and a documented process your team can audit and extend.

Fit Check

Built for teams like yours

Who it's for

  • Marketing teams scaling paid social creative
  • Brand teams producing ad variants weekly
  • Media companies testing AI for short-form video
  • Product teams that need feature demos and walkthroughs
  • Agencies adding AI video to client deliverables

Pain points we solve

  • Inconsistent style and quality across AI-generated clips
  • Slow turnaround between brief and finished video
  • High costs from manual editing and reshoots
  • Disconnected tools across writing, generation, and post
  • Lack of governance over prompts, assets, and versions
What's included

Capabilities

Everything we cover in this engagement.

  • Pipeline design and tool selection across Runway, Veo, Sora
  • Prompt libraries and shot-by-shot templates
  • Script-to-storyboard automation with structured briefs
  • Asset ingestion, tagging, and brand control
  • Voiceover, lip sync, and music integration
  • Upscaling, color, and post-production steps
  • QA checklists, review gates, and version logs
  • Delivery to ad platforms, social channels, and CMS
How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Discovery

We review goals, formats, brand rules, and current tooling.

02

Pipeline design

We map stages, tools, prompts, and review gates.

03

Build

We configure Runway, Veo, Sora, and connected systems.

04

Pilot

We run a batch of videos, score quality, and tune.

05

Operate

We hand off documentation or run the pipeline for you.

What you get

Deliverables & outcomes

What you get

  • Documented end-to-end pipeline diagram
  • Prompt library and style guide
  • Shot and scene templates
  • Configured tool connections and storage
  • Sample batch of finished videos
  • Operating playbook for your team

Outcomes you can expect

  • Faster turnaround from brief to finished cut
  • Consistent brand and visual quality across batches
  • Lower cost per finished video asset
  • Predictable output for paid and organic channels
  • Clear audit trail of prompts, versions, and approvals
Timeline

Four to eight weeks to build, then ongoing

Engagement

Monthly retainer, Project, Sprint

Tools we use

Runway, Google Veo, OpenAI Sora, ElevenLabs, Topaz, Adobe Premiere, Frame.io, Notion

KPIs we track

Videos shipped per week, average cycle time, cost per finished minute, approval rate on first pass, paid social CTR lift

Client stories

What clients say

"

Two weeks before our seed round we still did not have a defensible model. Their fractional CFO rebuilt our three-statement forecast, pressure-tested the assumptions, and walked me through every line before the partner meeting. We closed 1.4M on the terms we wanted. The investor specifically called out how clean the financials looked compared to the last five decks she had seen.

Hannah B.
"

Our SDRs were spending two hours a day copying lead data between Salesforce, Outreach, and a Google Sheet nobody owned. They mapped the whole flow, stitched it together in n8n, and added a dedupe step we did not even know we needed. Got 38 hours a week back across the team. The SDRs were the ones who pushed to expand it further.

Rebecca F.
FAQ

Frequently asked questions

Quick answers to the questions we hear most.

Which AI video model is best for our use case?
We pick per scene based on style, motion, length, and licensing. Most pipelines mix Runway, Veo, and Sora rather than relying on one model.
Can the pipeline match our existing brand style?
Yes. We build reference packs, prompt templates, and review gates so output stays within your color, tone, and layout rules.
Do you handle voiceover and music as well?
Yes. We add voice synthesis, lip sync, and licensed music or sound design as steps inside the same pipeline.
How do you handle revisions and rejected clips?
Each clip carries a version log. We rerun specific shots with adjusted prompts rather than starting full videos over.
Who owns the pipeline at the end?
You do. We document every step, hand over credentials, and train your team if you want to run it in-house.

Need a reliable AI video pipeline?

We will scope the right tools, prompts, and review steps for your use case.