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Autonomy – AI agents that automate repetitive business workflows

When I started talking to founders and small business owners, I expected to hear that their biggest challenge was getting more customers.

Instead, I kept hearing something different.

We have leads, but we can't respond fast enough.

Our support team keeps answering the same questions.

Too much time is spent on repetitive work instead of growing the business.

The problem wasn't always a lack of demand it was the growing amount of manual work that came with it.

That's what led me to build Autonomy.

The idea wasn't to create another chatbot or another AI wrapper. I wanted to build AI agents that could actually become part of a company's workflow handling routine customer conversations, qualifying leads, answering common questions, and helping teams spend less time on repetitive tasks.

We're still early, and there's a lot left to improve. Every conversation with users changes how we think about the product. One thing we've learned is that automation only creates value when it fits naturally into the way people already work.

Right now, the focus isn't on adding every possible AI feature. It's on making the existing workflows more reliable, more useful, and easier for businesses to trust.

I'd love to hear from other founders:

What's the most repetitive task in your business that you'd automate if you could?

on July 1, 2026
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    The line that stood out to me: "automation only creates value when it fits naturally into the way people already work." That is the part most agent builders skip, and it is usually why pilots die.

    One failure mode I would add to your list, because it hit me personally:

    The workflows that fit naturally are the ones with an API. The workflows that need automation most are often the ones with no API at all — a supplier portal, a courier backend, an insurance form, a marketplace seller panel. Those steps live entirely in someone else's browser UI, so they never make it into a workflow engine, and the team keeps doing them by hand.

    I ended up building for that specific gap. OpenAmer is an open-source agent that runs on your own machine and drives a real browser in the background, so it handles the browser-only steps instead of stopping at the edge of the API. Self-hosted, no cloud dependency: https://github.com/openamer/openamer

    Since you asked founders for input on reliability: what I found is that trust comes from narrow scope plus explicit checkpoints, not from a broader feature list. One workflow you can watch end to end beats five you half-trust.

    If it is useful to compare notes on the browser-only cases, I am happy to go deeper: https://openamer.github.io/openamer/consulting.html