// case study
Cutting Analytics Audit Time from 3 Days to 2 Days with an AI Agent
Built the agent from concept to production internal toolInternal tool at a US digital agency2024
n8nLLM APICustom promptsGA4 APIGTM APIPlatform APIs
The Problem
Every new client at the agency needed a full tracking audit before we could onboard them. This took 3 days per audit and depended on senior time. It was also error-prone: manual audits missed subtle tracking gaps that only showed up weeks later.
The Approach
- Broke the audit into repeatable checks: naming conventions, event coverage, consent state, data-layer integrity, cross-domain tracking, conversion firing
- Wired each check as a discrete step in an n8n workflow calling the LLM API with focused prompts and the raw data
- Built a structured report output that senior technologists could review and edit in 2 hours instead of writing from scratch
- Iterated with the team on false positives until precision was high enough to trust
The Result
Audit time dropped from 3 days to 2 days (33 percent faster), and the agent catches tracking gaps that manual audits routinely missed. Freed senior capacity for deeper client work.
// reflection
What I would do differently
Start with narrower agent scope. My first version tried to audit too many things at once and had a rough first month.