For agencies and outsourcing teams
You sell hours. Your lowest-margin hours are the ones AI is best at.
Bugs, chores, dependency bumps and small changes across fifteen client projects. They have to be done, they are hard to bill properly, and they eat the capacity of people you would rather have on new work. Agentouch turns that part of the backlog into reviewed pull requests on your own server — without a line of client code leaving your network.
The arithmetic, with your numbers
A mid-level developer in Vietnam costs roughly 25–30 million VND a month. If the agent carries even a third of the bug and chore tickets across five projects, that is close to one headcount — against the cost of one VPS and the AI subscription you already pay for.
~40%
Of agency capacity goes to bugs and chores
1
VPS, plus the AI account you already have
0
Lines of client code leaving your network
What agency owners tell us
Our contract with the client forbids third-party services. Copilot and Devin are out by definition.
A self-hosted runner on your own VPS. The repository never leaves your infrastructure, which means you can put the clause in the contract instead of arguing about it.
Every client has their own git token and their own keys. I will not put them in one shared environment.
Credentials are encrypted per project with the application key, not kept as global environment variables. Project A cannot read project B's keys.
A junior spends three days on what a senior does in two hours, and the senior has no time.
Push bugs, chores and refactors to the agent. The senior reviews a pull request that already has a working demo link attached — minutes, not hours.
Twenty legacy projects to maintain and nobody wants to touch them.
Dependency bumps, framework upgrades and small bugs are exactly where the verify-and-repair loop earns its place. A developer approves rather than digs.
The client asks why the bill is high this month and I cannot answer.
Spend per project, per person and per purpose, with a monthly budget and alerts — and cheap models for the thinking steps, strong models only for the writing.
I need to prove to a client that an AI is not pushing to production.
Every merge decision is logged with its reasons. The config file itself always requires human approval, and production keeps a manual gate.
The short version
You are selling hours. Agentouch turns the backlog of bugs and chores — the lowest-margin hours you have — into pull requests that run on your own server, without breaching a single line of an NDA.
Next step
Start with the free edition, on your own server.
Nothing to send us, no trial account, no sales call first. If you would rather be walked through it, we will show you a real task end to end in twenty minutes.