Build AI agents your whole team can run, and control
You've used ChatGPT and Claude for real work. They just do the task. No record of what they touched, no approval on the risky step, nothing you could hand your security team. Great UX, zero governance. Enterprise tools flip it: total control, an interface nobody wants to open. Lunen is what automated AI should be, the clean UX and the full transparency, not one or the other. Now in early access.
Hey Product Hunt 👋, I'm Mike, from the Lunen founding team.
You've used ChatGPT and Claude for real work by now. You ask for something, it goes and does it. That's the pitch, and it's also the problem. It just does it. No record of what it touched, no point where it stops and lets you approve the risky part, nothing you'd feel good putting in front of your security team. Amazing to use, impossible to govern.
The enterprise tools that fix the governance side have the opposite problem. Locked down, fully audited, and nobody wants to open them. So every company I talk to is quietly picking one. Fast and ungoverned, or safe and unused.
My belief is you should never have to pick. Lunen is the AI you already know how to use, except you can see and control every move it makes.
It works because we refused to build it the normal way. Normally the people who want agents grab a tool IT never signed off on, and IT buys a governance layer nobody wants to touch. Two products, two teams, a gap in the middle where the AI project quietly dies. In Lunen it's one path. The same steps someone in accounting takes to describe an agent are the steps that scope its data, set its permissions, and log what it does.
What that gets you:
Describe the agent in plain language and the plan writes itself. Named tools, scoped data, a schedule. No builder to learn, no YAML. Allow the reads, approve the writes. Every tool is a policy decision. It runs on its own, or it waits for human-in-the-loop before it calls, like a 2FA checkpoint. Same rules for every agent and every one-off run.
Every action on the record. People and agents land in one audit log. Click any event and you see who did it, what got approved, which model ran, and what data it touched. Hand it straight to a reviewer. Agent have their own identity, so you can easily see and track what YOU did with an agent, what an agent did independently, and what an agent did on your approval.
Where this comes from:
We built Lunen inside REDspace, where we've spent 25+ years shipping enterprise platforms for some of the biggest media and tech companies out there. We watched a lot of good AI work die in security reviews. Got tired of it. Built this. So we first started by solving the problem for ourselves and now it's time to share it outwards.
We're in early access now, working hands-on with the teams we bring on. If your org is trying to get AI past its own security review, come get early access and I'll get you set up.
I'm in the comments all day. What's the riskiest thing you've let an AI do with no record of it?
About Lunen.ai on Product Hunt
“Build AI agents your whole team can run, and control”
Lunen.ai launched on Product Hunt on July 20th, 2026 and earned 120 upvotes and 24 comments, placing #13 on the daily leaderboard. You've used ChatGPT and Claude for real work. They just do the task. No record of what they touched, no approval on the risky step, nothing you could hand your security team. Great UX, zero governance. Enterprise tools flip it: total control, an interface nobody wants to open. Lunen is what automated AI should be, the clean UX and the full transparency, not one or the other. Now in early access.
On the analytics side, Lunen.ai competes within Productivity, Artificial Intelligence and Security — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Lunen.ai performed against the three products that launched closest to it on the same day.
Who hunted Lunen.ai?
Lunen.ai was hunted by Mike Rudolph. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lunen.ai including community comment highlights and product details, visit the product overview.