AI Automation Agency for Marketing Agencies
AI automation systems and agents for marketing agencies; two-person team (Hamza Oulad and Finn Harris); published stage-by-stage breakdown.
In plain English
Qemoza builds AI systems for marketing agencies. The systems take over repeat work like reports and delivery tasks, so agencies can serve more clients without hiring. Agencies pay for each system Qemoza builds and runs. Two people run the business.
~$38,051/mo (founder-reported with breakdown, Aug 2026)
Operator: Hamza Oulad (with Finn Harris)
A named, real operator ran this and shared results publicly. The figures are their own.
Not disclosed.
The tool stack
Payments
OpenAI API ↗LLM / vision
Anthropic API ↗LLM / agents
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Package one clear outcome for one type of client.
- Use AI to speed up research and production.
- Human expert reviews everything delivered.
- Monthly retainers; grow by case studies and referrals.
What's automated vs. the human 45%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
AI automation systems and agents for marketing agencies; two-person team (Hamza Oulad and Finn Harris); published stage-by-stage breakdown.
Operator: Hamza Oulad (with Finn Harris). Website: https://www.qemoza.ai/
Estimated split: about 55% of the work automated, 45% human.
Realistic income
Hamza Oulad wrote that he took the business from $0 to about $38,051 a month (Aug 2026). This figure is operator-reported and not independently verified. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live source — numbers change.
Risks
- People-heavy delivery limits margins.
- Results depend on the operator’s expertise.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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