Scaling Content Audits with an AI-Augmented Workflow
As part of an AI leadership capstone project, I designed and implemented an AI-augmented content audit workflow, transforming a highly manual, time-intensive process into a scalable system that enables faster analysis and broader coverage while keeping a human-in-the-loop.
90% Reduction in Time | Analyzed ~1,000 pages in Hours v. Weeks | ~80% Accuracy in Criteria Evaluation
Manual Audit
6-11 days
~1,000 pages (~395,000 words) reviewed manually
Automated AI Audit
2-3 hours
Same dataset analyzed
10x faster
The Challenge
The goal of this capstone project was to apply GenAI in a high-value workflow. I selected content audits for several reasons including:
Requires significant manual effort, especially for large sites with hundreds of thousands of pages.
Has strategic importance to content quality.
Aligns well with GenAI capabilities (data preparation and cleaning, pattern recognition and anomaly detection, summarizing insights).
While audit criteria are typically well understood, the core challenge is making the process efficient and scalable.