Why Your Creative Tech Stack Needs a Production Layer

Display advertising has evolved from single-banner campaigns to always-on, multi-market, multi-format operations.

Most mid-market and enterprise teams now manage hundreds of variations per campaign, across dozens of placements and markets.

Yet the tech stack built to support this reality is still fragmented.

The missing piece is the AI-powered ad production platform that sits between design and media and owns the mechanical work of scaling, animating, and exporting creative.

This article maps out a modern creative tech stack for display advertising, explains where AI ad production platforms like Viewst fit, and offers practical guidance for integrating them into your existing workflows.

The Modern Creative Tech Stack for Display Ads: Overview

A contemporary display stack is no longer a single tool.

It’s a chain of specialized platforms that handle different stages of the content supply chain:

1. Concepting & design – Figma, Adobe XD, Photoshop, Illustrator

2. Asset governance & storage (DAM) – Bynder, Brandfolder, Adobe Experience Manager Assets

3. Creative production & automation – Viewst, Bannerflow, Smartly, Celtra, Adobe GenStudio

4. Ad serving & trafficking – Campaign Manager 360, Innovid, Flashtalking

5. Media activation (DSPs) – Google Display & Video 360, The Trade Desk, Yahoo DSP

The key friction sits in the middle layer.

Converting a single master concept into hundreds of ad-ready HTML5 banners, in every required size and version, is where most teams stall.

AI ad production platforms are built precisely for this.

Step 1: Concepting & Design – Where Ideas Become Master Creatives

The creative stack starts in familiar territory.

Teams develop concepts and master layouts in design tools that prioritize craft and collaboration.

Core tools

• Figma / Adobe XD for UI-style layouts, banner systems, and cross-functional collaboration

• Photoshop / Illustrator for visual exploration, image treatments, and detailed artwork

What happens here

• Ideation, storyboarding, and key visual development

• Design of master creatives that define layout, hierarchy, and brand expression

• Crafting the messaging and visual language that will later scale across formats

Limitations at this layer

These tools are exceptional for design.

But they are not optimized for:

• Generating dozens of HTML5 banner sizes from one master

• Animating multiple layers across a complete banner set in one consistent motion system

• Exporting production-ready ZIP/ADZ HTML5 bundles aligned with ad server specs

That work belongs in the production layer.

Step 2: DAM & Brand Governance – Protecting the Source of Truth

Once concepts solidify, assets move into digital asset management (DAM) systems.

This is where brand governance and long-term storage live.

Core tools

• Bynder, Brandfolder, Adobe Experience Manager Assets

• Internal brand portals and guidelines sites

What happens here

• Central storage of brand assets (logos, type, color systems, imagery)

• Version control for key creatives and campaign materials

• Access management for agencies, markets, and freelancers

Why this matters for production

AI ad production platforms rely on governed inputs.

To scale responsibly, they need:

• Locked brandbooks (fonts, colors, spacing rules)

• Approved master creatives as the single source of truth

• Clear asset hierarchies so that automation respects brand standards

Without this foundation, automation creates brand risk instead of speed.

Step 3: AI Ad Production Platforms – The High-Friction Middle Layer

The production layer is where one master creative becomes many.

This is the unique role of AI ad production platforms such as Viewst.

They sit between design tools and ad servers, handling the mechanical work at scale.

What AI ad production platforms do

AI production platforms focus on creative automation tools for display advertising, not on replacing designers.

They:

• Generate all required banner sizes from a single master (AI Smart Resize)

• Convert flat assets (PNGs, JPGs, static HTML5) back into editable designs (AI Image Deflatening)

• Turn structured prompts into HTML5-native banners (AI Designer) under brand rules

• Apply consistent motion across all layers and sizes (AI Instant Animator)

• Export production-ready HTML5 / GIF / MP4 in formats ad servers expect

Why this layer is critical now

The demand for content has exploded:

• Adobe reports that 96% of marketers saw content demand increase at least 2x in the last two years.

• 62% say demand rose 5x or more, and 71% expect demand to grow 5x+ by 2027.

• 89% say content goes through 3+ approval stages, and 58% spend more than 40% of their time on reviews and approvals.

Teams cannot meet these numbers with manual resizing and versioning.

AI ad production platforms exist to absorb this volume without sacrificing creative integrity.

How Viewst fits

Viewst is an HTML5-native ad production platform designed specifically for:

• Agencies, in-house teams, and enterprise brands running high-volume, multi-market campaigns

• Banners that must meet strict ad server and DSP requirements

• Teams that need operational rigor, speed-to-market, and brand consistency

Viewst treats banner production as infrastructure, not as design.

It replaces fragmented tools with one integrated production studio that connects design, governance, and media.

Step 4: Ad Servers & Trafficking – Getting Banners into the System

Once banners are produced, they move to ad servers.

This layer handles trafficking, tracking, reporting, and verification.

Core tools

• Campaign Manager 360 (CM360) – Google’s web-based system for trafficking and verification

• Innovid, Flashtalking – independent ad serving and creative management platforms

What happens here

• Uploading creatives (HTML5 ZIP/ADZ files, images, backup assets)

• Generating ad tags per placement and size – CM360 creates one tag per size for multi-size creatives

• Ensuring measurement, viewability, and brand safety tracking

How AI production platforms integrate

Production platforms need to respect technical specifications.

For example:

• CM360 supports HTML5 assets as compressed ZIP/ADZ files with all supporting files, plus image backups

• New CM360 creatives can take up to 8 hours to appear in DV360 once linked

Viewst and similar platforms:

• Export HTML5 bundles that align with CM360 requirements

• Ensure correct naming, click tags, and backup assets

• Minimize the rework and troubleshooting that occur when creatives hit the ad server

Step 5: DSPs & Media Activation – Where Optimization Happens

The final layer is media activation in DSPs.

This is where creative meets audience and budget.

Core tools

• Google Display & Video 360 (DV360)

• The Trade Desk (whose AI analyzes up to 15 million ad opportunities each second)

• Other open-web DSPs

What happens here

• Campaign flighting, budgets, and bid strategies

• Audience targeting, frequency, and cross-channel measurement

• Creative-level reporting and optimization

Integration with ad servers

Google explicitly positions CM360 + DV360 as a connected backbone.

Linking them enables:

• Creative sharing across campaigns

• Audience sharing and cross-channel measurement

• Bidding optimization informed by creative performance

AI ad production platforms do not replace DSPs.

They ensure DSPs receive clean, consistent, variant-rich creative that can be tested and optimized efficiently.

Why AI Ad Production Platforms Are Different from AI Creative Generators

There are many AI ad creative platforms that focus on generating images or copy.

AI ad production platforms are structurally different.

Key distinctions

• Generation vs. production

  • Generative tools create new images or layouts from scratch.

  • Production platforms like Viewst start from a master creative and scale it responsibly.

• Native HTML5 vs. flat assets

  • Image generators output flat files (PNGs, JPGs) that must be rebuilt for ad servers.

  • Viewst outputs editable HTML5, with layers intact and motion defined.

• Brand governance vs. aesthetic experimentation

  • AI generators often ignore strict brand rules.

  • Production platforms embed brandbooks and governance, locking typography, color, and spacing.

Ethical AI in the production layer

IAB research shows a gap between industry enthusiasm and consumer comfort:

• 82% of ad executives believe Gen Z and Millennials feel positively about AI-generated ads.

• Only 45% of those consumers agree.

• More than half want disclosure when ads are fully AI-generated or use AI imagery/video.

Ethical AI tools for display ad design must therefore:

• Make AI use transparent and controllable

• Reinforce brand standards rather than undermine them

• Keep designers in the loop, with review and approval inside the production environment

Viewst’s ethos aligns with this: AI removes mechanical work — resizes, exports, basic animation — while leaving creative judgment to professionals.

How AI Ad Production Platforms Integrate with Existing Workflows

To get value from AI production, you don’t need to rebuild your stack.

You need to slot platforms like Viewst into the high-friction middle and connect them to what you already use.

A typical end-to-end workflow with Viewst

1. Design in Figma / Adobe

   • Craft master banners in Figma or Adobe.

   • Export frames or layered files.

2. Govern in DAM

   • Store master assets and brandbooks in Bynder or similar DAM.

   • Define approved fonts, colors, and layouts.

3. Produce in Viewst

   • Import Figma/Adobe assets into Viewst.

   • Use AI Smart Resize to generate all required formats.

   • Apply AI Instant Animator for consistent motion across the set.

   • Use AI Image Deflatening to turn flat assets from previous campaigns into editable templates.

   • Lock styling with brandbooks so AI retains brand consistency.

4. Collaborate & approve in Viewst

   • Collect comments directly in the banner set, not via email or screenshots.

   • Run structured review cycles, reducing the chaos that Adobe found consumes 40%+ of marketers’ time.

5. Export to ad servers

   • Export HTML5 ZIP/ADZ files plus backups.

   • Upload to CM360, Innovid, or Flashtalking.

6. Activate in DSPs

   • Sync CM360 with DV360 or other DSPs.

   • Run A/B tests and creative optimization using the rich variant set produced in Viewst.

Benefits for creative and operations leaders

For Heads of Creative, Design Directors, and Creative Ops leads, this integration delivers:

• Velocity without hiring sprees – meet 5x content demand without 5x headcount

• Operational rigor – clear separation between concepting, governance, production, and activation

• Brand safety – locked systems that prevent off-template edits across markets

• Designer retention – senior designers spend time on craft, not resizing.

Actionable Steps to Modernize Your Creative Tech Stack

You can evolve your stack in stages rather than all at once.

Here’s a practical roadmap.

1. Audit your current stack

List tools and responsibilities across:

• Concepting & design

• DAM & brand governance

• Production & resizing

• Ad serving & trafficking

• DSP & media activation

Identify where manual work, delays, and rework cluster.

2. Define the production problem

Document:

• Average number of banner sizes per campaign

• Number of markets or languages involved

• Time spent on resizing, localizing, and exporting

• Number of approval rounds and stakeholders

Use the Adobe benchmarks to assess your risk:

• If your content demand has grown 2–5x and you have 3+ approval stages, you’re in the high-friction zone.

3. Introduce an AI ad production platform

Pilot a platform like Viewst on one high-volume campaign.

Focus on:

• Building a master creative and letting AI handle sizes

• Using brandbooks to lock typography and colors

• Centralizing review and approvals inside the production environment

Measure:

• Time saved per campaign

• Reduction in errors or re-exports

• Designer satisfaction and perceived workload

4. Connect to ad servers and DSPs

Work with media teams to:

• Align export specs (HTML5 ZIP/ADZ file requirements, backup images)

• Standardize creative naming conventions across platforms

• Ensure CM360–DV360 or equivalent links are configured properly

5. Scale and govern

Once proven, extend the production platform to:

• Additional brands, markets, or clients

• Always-on campaigns and retail media programs

• Performance marketing workflows that need rapid A/B testing

Create light but firm governance:

• Define which teams can edit masters vs. variants

• Set rules for AI usage and disclosure, guided by IAB’s transparency framework

FAQ: Building a Creative Tech Stack with AI Ad Production Platforms

What is a creative tech stack for display advertising?

A creative tech stack for display advertising is the set of tools and systems used to design, govern, produce, traffic, and activate banner ads.

It typically includes design tools (Figma, Adobe), DAM platforms (Bynder), AI ad production platforms (Viewst), ad servers (Campaign Manager 360), and DSPs (DV360, The Trade Desk).

Where do AI ad production platforms fit in the stack?

AI ad production platforms sit in the middle layer between design tools and ad servers.

They own the process of turning one master creative into many HTML5-ready variations, handling resizing, animation, versioning, and export while enforcing brand rules.

How are AI ad production platforms different from creative automation tools in DSPs?

DSPs sometimes offer basic creative automation, but they are primarily built for media buying and optimization.

AI ad production platforms focus on design-native HTML5 output, brand governance, and cross-channel production workflows that can feed multiple ad servers and DSPs, not just one media platform.

Do AI ad production platforms replace designers?

No.

Platforms like Viewst are AI tools for display ad design that remove mechanical tasks — resizes, exports, simple animations — while keeping designers in control of concepts, visual language, and final approval.

They fix what’s broken in banner production, not people.

How do we ensure ethical AI use in advertising creative tools?

Follow IAB’s AI governance and transparency guidance:

• Disclose when ads are fully AI-generated or use AI imagery/video

• Use AI in the production layer to scale approved creative, not to bypass brand standards

• Maintain human review and approval for all campaigns, especially in regulated industries

Platforms like Viewst support this by embedding brandbooks, structured approvals, and collaboration directly into the production environment.

If you’re ready to treat banner production as infrastructure instead of an ad-hoc scramble, the next step is simple: map your stack, identify the production bottleneck, and pilot an AI ad production platform where the friction is highest.

That’s where Viewst is designed to live.