Context
n8n + Playwright MCP automation for critical journeys. Metrics from before/after QA hours and a documented ROI model.
At a glance
Proof 1
Manual testing: −80%
Proof 2
Modeled ROI: 3,696%
Proof 3
Annual value: $924K
The Challenge
Manual QA could not keep pace with release velocity. Inconsistent coverage, slow feedback, and flaky checks made teams risk-averse. The challenge was to automate critical journeys without creating a brittle suite nobody trusted.
The Solution
Custom Playwright MCP server orchestrated by n8n: commit/deploy triggers, retries, Slack alerts, and ephemeral environments. Time reduction measured from sprint QA hours before/after on the same journey set. ROI model: $100/hr × ~20 hrs/wk saved, $5K/bug × ~5/mo avoided, plus release-value assumptions documented in the case study notes—explicitly a model, not a finance audit.
The Results
Manual testing hours fell ~80% on covered journeys; release cycle shortened from ~2 weeks to ~5 days (~60% faster); modeled annual value ~$924K with 3,696% ROI versus ~$25K build cost (hours saved + avoided defects + release-velocity value).
Let's talk
When ambiguity is costing you—let's turn it into certainty.