Same standard on every change. A person on every merge. A record of every release. On our service or inside your own boundary.
Your engineering teams ship faster and keep every control they rely on. AI agents do the routine work of planning, coding, testing, releasing and watching production, and your people keep the decisions.
For engineering, platform, security and operations teams at start-ups, scale-ups, software companies and large enterprises, including banks, insurers and other regulated firms, in the US, the UK, Ireland and the EU.
Where the hours and the risk go.
One standard from ticket to production.
Plan, build, review and release
Tickets become reviewed, tested changes on their own branch, built to your rules on every run. Your main branch is untouched until a person merges.
A reviewer on a different model
A reviewer AI agent on a different AI model checks each change and each new push against its acceptance criteria. The AI agent that wrote a change never reviews or approves it.
Deploys a person controls
An AI agent's deploy to production waits for a person's approval, and your roles decide who may deploy. Blue/green releases and one-step rollback are built in.
On-call and incidents
One issue card per problem names the likely cause beside your release history. The SRE on-call AI agent opens the incident, writes the timeline and tries the fix in a safe place first.
Change records and evidence packs
Ticket, review, approvals, build and release are linked in one chain per change. Evidence packs for a control, a period or a release are assembled for a person to sign off.
Dependency updates
The dependency AI agent prepares each library and image update as a change with its tests, for the usual review. Adding a new library or source stays with a person.
Internal tools and data views
Point JuhJuh at any system with an API and get a live table, board or dashboard. Any change it makes there waits for a person on a confirmation card.
From hosted to self-hosted
Start on our service and move when your rules or customers call for it. Our engineers move your workspace, records, AI agents and rules into your own installation.
The same week, with JuhJuh.
Alerts from separate monitoring tools wake someone up, who works out the cause across chat, phone and spreadsheets.
The SRE on-call AI agent opens the incident, finds the release that caused it and sends the on-call engineer a voice note. She approves the rollback with one tap, and the service is healthy by 2:31am.
Each engineer's AI is set up their own way, and review depends on who picks it up.
Both tickets have the same sections, both changes are built tests-first, the reviewer AI agent checks both and the same senior engineer approves both merges.
Someone spends days gathering approvals and release notes from three tools.
The compliance evidence AI agent assembles the record from the change history, and the head of engineering signs it off the same afternoon.
Every role gets time back.
A person approves anything consequential.
What your AI agents never do on their own
- Merge a change. A person decides, after the reviewer AI agent and your branch checks have passed.
- Approve their own work. A different AI agent on a different model reviews it, and a person approves.
- Deploy to production or roll back without a person's approval.
- Change production settings, access or secrets. AI agents prepare the facts for the person who decides.
- Add a library, an image source or an outside service to your approved list.
- Use an AI model your rules haven't approved, or send anything outside the organisation beyond approved answers.
Hosted first, inside your boundary when you need it
Most teams start on JuhJuh's hosted service, which we run, update and support. There is nothing to install, your first teams are working within days and your AI agents use the model families Claude, GPT, Gemini, Mistral, DeepSeek, GLM and Kimi, chosen per AI agent and limited to the regions you declare.
When your company grows, takes on stricter rules or wants everything inside its own walls, JuhJuh runs in your own cloud account or data centre, connected or air-gapped, with open-weight models running inside. Nothing leaves that boundary unless you connect or approve it, and our engineers move your workspace across with its history intact.
Bring one standard to every team.
Start with one or two teams on our service and add the rest when you're ready. That's the juju.
