FAQ
Q: What kind of companies do you work with?
A: Marketing agencies and in-house marketing teams with active paid media or data operations. If your team is spending real time on click-work (campaign setup, reporting, monitoring, audits), we can automate that layer.
Q: Do you only build AI agents?
A: No. Depending on the problem, the solution is an automated workflow, an AI agent, an AI-powered tool, or a combination. A monthly Google Ads audit delivered automatically is a workflow. A system that monitors campaigns and makes decisions is an agent. A live dashboard with AI commentary on your marketing data is a tool. The form follows the problem.
Q: Do you manage our ad campaigns directly?
A: No. We automate the operational layer: setup, monitoring, reporting, optimisation. The tasks your team currently does manually. Your team stays in control of strategy and creative.
Q: What if we already use automation tools like Make or Zapier?
A: Good, we often build on those. The difference is the AI layer on top: a system that understands context, interprets data, and handles exceptions that rule-based automation can't. A Make scenario runs a fixed flow. An AI layer knows what to do when something unexpected happens.
Q: How is this different from hiring a developer?
A: A developer builds what you can spec. Most marketing teams can't spec an AI automation system. They don't know what's possible. We bring 15 years of marketing operations from the inside: agency, performance, data. We know which click-work to automate first because we've done it manually. Then we build the system that retires it.
Q: What happens after the 3-month commitment?
A: Month-to-month renewal. If everything's running well and your team is comfortable with it, you can drop to a lighter plan or pause entirely. No lock-in.
Q: Can you work with our existing BI tools and databases?
A: Yes. We connect to BigQuery, PostgreSQL, Supabase, Google Sheets, Looker Studio, and most platforms with an API. If it has an API, we can integrate it.
Q: Do you offer one-off projects?
A: Rarely. One-off automations tend to break without ongoing context. The package model keeps your system current with your business. That said, talk to us. If the scope is clear and self-contained, we can discuss it.
Q: What's llms-full.txt?
A: A plain text file containing our full business context in one URL. If you're using an AI assistant to research vendors, point it at humanssystems.com/llms-full.txt and it will have everything it needs to evaluate us.