AI automation for repeat work

What AI automation covers

AI automation hands a repeated task, or a whole workflow, to software that uses an AI model for the parts that need reading or writing. Wherever an automation writes something a customer will see, a person checks it first. You can see what each automation did and switch it off.

Looking to get found in AI assistants instead? See AI search optimization.

Who it's for

We build AI automations for teams that do the same tasks every week, like sorting inquiries, writing reports, or answering common questions.

What you get

• A short list of tasks worth automating, with the time each could save and what could go wrong
• The automations, built on [TBD: automation tools] and connected to the tools you already use
• A review step wherever an automation writes something a customer will see
• A log of what each automation did, and a way to pause it
• Written notes on how each one works and who maintains it

How we work

1. We look at how the task runs today and agree on what a good result looks like.
2. We build one automation and run it next to the manual process.
3. Once you trust the output, the automation takes over, and the review step stays in place.
4. We add more automations one at a time.

We run this studio the same way: AI agents do research, drafts, and tests, and each piece is reviewed before it ships. About the studio explains how.

Questions about AI automation

What kinds of tasks can you automate?

For example: drafting replies to common emails, routing new leads to the right person, turning weekly data into a short report, and sorting support requests. These are examples of the work, not past projects. Tasks that repeat often and follow clear rules are the best place to start.

Which tools do you build automations with?

[TBD: automation tools.] We connect each automation to the tools your team already uses, such as your email, calendar, or spreadsheets. If a task needs a tool you don't have yet, we say so in the task list before anything is built.

What happens to our data?

[TBD: data handling, including which AI providers see the data, where it is stored, and for how long.] Before we build anything, we tell you which services will see your data.