Australian retail brand with 2,000+ SKUs story
The brand did not need AI content for novelty. It needed a repeatable production system that could keep product pages and campaigns moving.
Synbus designed the workflow around quality control first: structured source data, review queues, and publishing rules before any automation touched live content.
The team gained output capacity without hiring a larger content department, while keeping final review in human hands.
AI Automation challenge
Product descriptions, metadata, and campaign content were being written manually. The team could not keep up with new launches or refresh stale pages.
Synbus execution strategy
We created a controlled AI workflow with source data checks, Claude-assisted drafting, automated metadata generation, Airtable review queues, and human editorial approval before publishing.
80% Less Manual Work evidence
8x content output execution timeline
Map
Documented product data, approval rules, metadata needs, and content bottlenecks.
Automate
Built n8n flows with Claude drafting, QA queues, and metadata templates.
Control
Added human review, error handling, and publishing records for accountability.
Measured business results
If manual content or operations are slowing your team down, Synbus can design an AI workflow with review controls, source data checks, and measurable output gains.