Content Pipeline Case Study | Marketing Automation
Back to Case StudiesContent Production Pipeline OS
Scale blog articles, email sequences, LinkedIn posts, and case studies consistently across stakeholders.
This Marketing AI automation case study explores Content Production Pipeline OS. Tags: Marketing, Workflow Automation, AI Implementation, Document Processing, OpenAI, Airtable, Make.com, AI Automation.
3.2×
Content Throughput
-60%
Editing Time
Improved
SEO Rankings
Overview
A content-heavy B2B company needed to scale blog articles, email sequences, LinkedIn posts, and case studies consistently across dozens of stakeholders. Content throughput increased by 3.2× with 60% reduction in editing time.
Challenges
Inconsistent content quality
No central system for requesting or tracking content
Manual drafts, comments, revisions
Zero visibility into deadlines
No editorial standards enforcement
What We Delivered
Content workflow backend with request intake portal
Workflow per content type (article, campaign, ads, product pages)
Version tracking + approval routes with asset library
AI writing assistant with tone/style guide and SEO optimization
Competitive gap analysis and headline variants
Editorial dashboard with bottleneck detection and SLA timers
Tech Stack
Request intake portal, Workflow per content type, Version tracking, Asset library, AI Writing Assistant, Next.js editorial dashboard
Tags
Results
3.2×
Content Throughput
-60%
Editing Time
Improved
SEO Rankings
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