Automation and AI agents
Copying form data into a spreadsheet, remembering to follow up with a customer, answering the same question for the hundredth time. Those are processes, not work. I turn them into flows that run without you.
Describe the process that dragsA simple process: 1–2 weeks. An AI agent with a knowledge base or a voice agent: 3–5 weeks from workshop to production.
By counting how many hours the process takes per month. If it comes to less than two, I usually advise against automating it — the build will not pay for itself and a person should keep doing it. Automation pays off on work that is repetitive, predictable and frequent. I will say plainly when your case is not that.
An agent gets access only to the data its task requires, and every action it takes is logged. I build on a RAG architecture, meaning the agent answers from your documents rather than its own guesses, and shows which document the answer came from. That limits invention, though it cannot be eliminated entirely and nobody honest will promise otherwise.
Not at the size of business I work with. Automation removes the tasks nobody enjoys and nobody needs to think about. Harder cases still reach a person, just with the context already assembled instead of from scratch. If you are looking for a way to cut half a department, this is not the offer for you.
A recording from my own project: the agent answers a call, works out why the person is calling and records the outcome.
Personal project
Answers the phone, works out why someone is calling and leaves a ready callback note.
Makes sure no lead goes unanswered and reminds you when the deadline passes.
Keeps a conversation going for a few days and goes quiet the moment the lead replies.
Asks for feedback at the right moment and separates praise from complaints.
Collects orders from the shop, email and messages into one list with one format.
Writes a message tailored to the recipient and sends it at a set time.
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