In practice this looks like four kinds of system. A marketing engine researches a topic, writes and translates it, publishes it, and runs the follow-up emails on its own. An operations system watches a schedule, pulls in leads, answers routine questions, and files a report. It brings in a person only when something falls outside its rules. Some jobs need more: a full web app with payments, logins, a database, multiple languages, more than one tenant. Underneath all of it sits a layer of guardrails that keep the agent inside the tools a business already uses. That is also where it differs most from RPA, the older style of automation: see AI agents vs RPA for the specifics.
The way we work stays the same every time: map the manual process first, including what a system genuinely cannot own, then build it, then run it. Systems are run, not delivered. Once something is live, the real question is whether it is doing the job, and that's worth defining before you build it: see how to measure whether an automation is actually working. We take on a small number of engagements at a time, and each one gets its own quote, shaped around what the system has to do rather than hours logged. 'Unattended' doesn't mean untouched forever either, and the word covers less than people assume: see what running unattended actually means.
None of this fits every business. If the work happens rarely, or every case genuinely needs a human call, a person or a plain checklist beats an agent here. Where it fits well is repetitive work with real volume: reporting, outreach, monitoring, content production, customer messages that follow a pattern. We run 197 scheduled jobs around the clock today, across 78 live integrations, with 30 projects in production and content going out in 7 languages.