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Process 14 min read November 30, 2025

From Script to Screen: A Step-by-Step AI Animatic Workflow

A practical guide to the animatic production process—from initial brief through to research-ready deliverables—showing how AI accelerates each stage without compromising quality.

For anyone planning a major TV or online video campaign, the script-to-screen journey can feel both familiar and fraught with uncertainty. You start with a strategy, develop scripts, and eventually commit to production—but between script approval and final film, there's often a gap where the work exists only in people's imaginations.

That gap is where animatics live. And with AI, the animatics workflow has become faster, more visual, and more useful than ever. This guide walks through the full process, step by step.

Where AI Animatics Fit in the Script-to-Screen Journey

The typical path from concept to broadcast follows a predictable arc: strategic brief, creative development, script, storyboards, animatic, production, post-production, final film. Each stage builds on the last.

Animatics sit between storyboards and production. They're a form of pre-visualisation: a moving, timed sequence that brings the script to life before anyone books a crew or steps on set. Think of an animatic as a testable prototype of your commercial—good enough to show consumers, stakeholders, or research partners, but created before the big spend.

AI animatics accelerate this stage dramatically. Instead of hand-drawn sketches or illustrated frames, AI generates photorealistic imagery that closely mirrors what the final film could look like. The result: a test commercial that's easier to interpret, faster to produce, and more useful for ad testing.

Step 1 – Brief and Materials

Every animatic starts with a brief. Before any creative work begins, the animatic partner needs clarity on what they're building and why.

A good animatic brief typically includes:

  • Strategic brief and objectives: What is this campaign trying to achieve? Who is the audience? What should viewers feel, think, or do?
  • Scripts or territory outlines: These don't need to be final, but they should be clear enough to visualise. Early territory outlines work if scripts aren't locked.
  • Brand guidelines and mandatories: Logo usage, colour palette, tone of voice, any legal or compliance requirements.
  • Previous work: Existing commercials, reference films, or mood boards that show the brand's visual world.
  • Markets, lengths, formats: Will this run in one market or many? What durations (30s, 15s, 6s)? Which platforms (TV, YouTube, social)?

Practical tip: the more aligned everyone is at briefing stage, the smoother everything runs. If key stakeholders haven't signed off on the script, flag that upfront.

Step 2 – Visual Language and Casting (with AI)

Before generating hundreds of frames, it's essential to agree on the visual world. What does this commercial look and feel like?

Key decisions at this stage include:

  • Look and feel: Cinematic and polished? Documentary and authentic? Playful and vibrant?
  • Characters and casting: Who are the people in this ad? What do they look like? How do they relate to the target audience?
  • Locations and settings: Where does the action take place? Interior or exterior? Urban or rural?
  • Styling and props: What details bring the world to life?

AI is particularly powerful here. Instead of describing characters in words or hunting for stock references, the team can generate visual options quickly. Want to see how the same scene plays with different casting, different wardrobes, or different lighting? AI makes that exploration practical.

The goal is alignment: agreeing on the visual direction before investing in full frame production.

Step 3 – Shot List and Key Frames

With the visual language agreed, the next step is translating the script into a shot list. This is where the animatic production process gets granular.

A shot list breaks down the script scene by scene, moment by moment. For each shot, the team defines:

  • What we see (action, composition, framing)
  • What we hear (dialogue, VO, music, SFX)
  • Duration and pacing

AI-generated imagery then brings the shot list to life as key frames. These aren't rough sketches—they're detailed, photorealistic images that preview each moment. Coverage is important: multiple angles or expressions for key scenes give the editor flexibility and help stakeholders visualise alternatives.

Platform requirements also come into play. A 16:9 hero film for TV needs different framing than a 9:16 cut for social. Planning aspect ratios early avoids awkward cropping later.

Step 4 – Building the AI Animatic Edit

Frames alone aren't an animatic. The next step is editing them into a coherent, timed sequence that feels like a real commercial.

This involves:

  • Sequencing: Arranging frames in story order, creating flow from scene to scene.
  • Timing and pacing: Setting duration for each shot, building rhythm, landing key beats at the right moments.
  • Transitions and motion: Adding subtle camera moves, zooms, or pans to give static frames a sense of life.

Sound is equally important:

  • Voiceover: Temporary or final VO, depending on what's available. Even a scratch track helps set pace.
  • Music: Temp music or licensed tracks that set the emotional tone.
  • Sound design: Ambient sound, SFX, and audio texture that make the world feel real.
  • Supers and text: On-screen messaging, end frames, legal copy.

The finished animatic should feel coherent and watchable—good enough for campaign testing, stakeholder review, or consumer research.

Step 5 – Review, Feedback and Iteration

No animatic is perfect on the first pass. Review and iteration are built into the animatics workflow.

A typical review loop looks like this:

  1. Internal review: The agency and brand team watch the animatic, noting what works and what doesn't.
  2. Consolidated feedback: Comments are gathered and organised into clear, actionable notes.
  3. Revision rounds: One to two focused rounds of changes, addressing story beats, pacing, branding, or tone.

Common types of feedback include:

  • Adjusting story beats or narrative flow
  • Clarifying product shots or branding moments
  • Tweaking voiceover delivery or pacing
  • Refining casting or visual details

The advantage of AI animatics: iteration is faster and cheaper than with traditional methods. Changing a character's look or swapping a location doesn't require starting from scratch.

Step 6 – Versioning for Markets and Routes

For global brands, a single animatic is rarely enough. The same base film often needs to work across multiple markets, with localised casting, settings, or language.

AI makes this practical. From a single master animatic, teams can create:

  • Market adaptations: Different casting, locations, or cultural details for each region.
  • Language versions: Localised VO, supers, and text overlays.
  • Route variants: Parallel versions for A/B testing different creative directions.

This is powerful for global and multi-market campaign testing solutions. Instead of producing one version and hoping it travels, brands can test localised animatics in each market and learn what resonates before committing to production.

Step 7 – Handover for Testing or Internal Use

Once the animatic is approved, it's time to deliver. Deliverables vary depending on how the animatic will be used:

  • File formats: MP4, MOV, or platform-specific specs for research tools.
  • Aspect ratios: 16:9 for TV/YouTube, 9:16 for social, 1:1 for certain platforms.
  • Variants: With/without supers, with/without VO, different lengths (30s, 15s, 6s).

Animatics are used in several ways:

  • Consumer research and ad testing: Showing animatics to target audiences to gauge response, recall, and purchase intent.
  • Internal stakeholder alignment: Getting sign-off from senior leadership, legal, or regional teams.
  • Agency-client presentations: Pitching creative routes or securing production approval.

Step 8 – Turning Animatic Learnings into a Stronger Final Film

The animatic isn't the end point. The insights gathered from testing should feed directly into production decisions.

Learnings from animatics can inform:

  • Script revisions: Strengthening weak moments, cutting what doesn't work, doubling down on what resonates.
  • Storyboard and shot list updates: Refining compositions, adding or removing shots based on feedback.
  • Casting and performance direction: Using character reactions from testing to guide talent selection and direction.
  • Production decisions: Adjusting locations, styling, or practical details based on what audiences responded to.

Collaboration matters here. The animatic team, production company, and director should work together to ensure the final film reflects what worked in testing—not just start again from scratch.

What a Typical Timeline Looks Like

Timelines vary by complexity, but here's a realistic example for a standard single-market animatic:

  • Day 1–2: Brief received, materials reviewed, visual direction explored.
  • Day 3–5: Shot list finalised, key frames generated.
  • Day 6–8: First animatic edit delivered for review.
  • Day 9–10: Feedback incorporated, revised animatic delivered.

Total: roughly 5–10 working days from brief to first animatic, plus additional time for feedback rounds and versioning.

This timeline fits comfortably around typical media and production deadlines. For urgent projects, timelines can be compressed. For multi-market testing with extensive versioning, allow additional time for localisation.

How to Get Started with an AI Animatic for Your Next Campaign

If you're ready to explore AI animatics for campaign testing, start small:

  • Pick one upcoming campaign or a single key creative route.
  • Share the script (or territory outline) and strategic brief.
  • Agree on timeline, deliverables, and how the animatic will be used.

What to prepare on your side:

  • Scripts or territory outlines
  • Brand guidelines and reference work
  • Key stakeholder alignment on objectives

What Myth Labs will handle:

  • Visual exploration and casting
  • Shot list and key frame generation
  • Animatic edit, sound design, and versioning
  • Delivery in research-ready formats

References

  • [1] WARC/Reynolds & Phillips – "Pre-testing animatic TV ads can be effective," Journal of Advertising Research — warc.com
  • [2] Nielsen (2017) – "When it comes to advertising effectiveness, what is key?" — creative quality drives 47% of campaign success — nielsen.com
  • [3] Google & Human Made Machine – "The Comprehensive Guide to Creative Pre-Testing" — humanmademachine.com
  • [4] DataIntelo (2024) – AI Video Localisation Market Report — dataintelo.com

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