AI content production, localized and compliant , at agency scale
A full-service creative agency uses Airtable with AI to orchestrate its entire content supply chain: generating campaign concepts and bulk social and email content, translating and localizing assets across languages, generating alt text with accessibility checks, and routing everything through legal and compliance review before it publishes. Marketing, Creative Services, Localization, and Social Media teams now run from one taxonomy instead of scattered folders and offline reviews.
The problem
Every campaign started with manual ideation and content creation that bottlenecked at the same few people. Translation and localization added weeks per language, and reviews happened offline in scattered documents that nobody could audit later.
The agency's own taxonomy for campaigns, assets, and approvals had fragmented across teams and clients, which meant duplicated effort, content wastage, and no reliable way to prove what had been reviewed for compliance before it shipped.
What they built
Marketing, Creative Services, Localization, and Social Media teams built a shared Airtable system that uses AI to generate campaign concepts and bulk social and email content, then routes each asset through multi-language translation and localization and automated alt text generation with accessibility checks.
Legal and compliance review sits inside the same flow before anything publishes, and finished assets push out to the agency's design and publishing stack: Figma for design handoffs, Adobe AEM and a digital asset manager for publishing, and Salesforce Marketing Cloud and Canva for downstream distribution.
The outcome
A content program that used to take twelve months now ships in about four, with the AI-assisted concepting and localization steps removing the slowest manual handoffs. Content wastage dropped as the consolidated taxonomy gave every team a shared way to name and find assets.
Compliance auditability improved because every asset carries its review trail inside the system instead of an inbox, and bulk generation at scale means the same team now supports far more campaigns without adding headcount to the production queue.
Inside the solution
AI Content Production and Localization
Content Production & Localization
- AI-generated campaign concepts and content
- Bulk social post and email creation
- Multi-language translation and localization
- Alt text generation with accessibility checks
- Legal and compliance review routing
- Publishing to CMS and digital asset management
- Asset analysis and remixing
- Manual content creation and ideation bottlenecks
- Time-consuming translation and localization
- Content wastage and fragmentation
- Offline reviews and scattered taxonomy
- Lack of compliance auditability
- Slow speed to market
- Production timeline cut from 12 months to 4 months
- Reduced content wastage
- Improved compliance auditability
- Faster speed to market
- Bulk content generation at scale
- Consolidated taxonomy
- Marketing
- Creative Services
- Localization
- Social Media
- Airtable AI
- Figma
- Adobe AEM
- Salesforce Marketing Cloud
- Canva
Content production and localization with AI
Run an entire content supply chain in one base: AI drafts campaign concepts and bulk social and email copy against a structured brief, generates alt text, and translates every asset into linked per-market language variants. Legal and compliance review sits inside the same flow, so nothing reaches a publishing destination without an auditable decision trail attached to the record.
From bottlenecked ideation to a governed content supply chain
Copy the templates
Wire in AI generation
Route review and publishing
FAQ
Frequently asked questions
Concepts and drafts are generated against a structured brief record, so every output stays tied to the guidelines and assets attached to that brief. Nothing publishes until it clears the review stage that sits later in the same system.
Each asset gets linked language variant records instead of a separate file per market. Translation and localization status live on the record itself, so a producer can see every language's progress from one view.
Inside the same base, as a required stage before publishing. Reviewers work from the linked asset record, and their decision and comments stay attached to it permanently instead of living in a separate email thread.
AI-assisted concepting and bulk generation removed the slowest manual steps, and a consolidated taxonomy meant teams stopped recreating naming conventions and folder structures for every new campaign.
No. It orchestrates the handoffs between them. Design work still happens in Figma, and finished assets still publish through the agency's CMS and marketing cloud, but Airtable is the system that tracks every asset's status and history in between.