Every merge approved. Every network change traceable. Every incident on record. All inside your own boundary.
Your engineering teams ship faster without loosening a single control. AI agents plan, code, test, release and watch production and the network, and every step lands in a record your security, risk, compliance and audit teams can read.
For network engineering, IT, platform, security and operations teams at mobile, broadband and fixed-line operators and their suppliers, in the UK, the EU and the US.
Where the hours and the risk go.
Network and software changes, one standard.
Network automation as reviewed code
The network change AI agent prepares changes to your automation and configuration templates on its own branch, with the method of procedure and the back-out plan. A person decides the merge.
Change windows on every network change
A network change template records the change window, and your pipeline runs the change on the live network only once a person approves it.
A security incident AI agent
It opens a security incident from an alert in your security tools, gathers the evidence and keeps the timeline. Containment steps and any decision to report stay with a person.
Subscriber data kept inside
Subscriber data, call and traffic records and network designs stay in your installation. With your own models, no AI company receives them or trains on them.
Alerts across network, IT and security
Alerts from your network, IT and security monitoring become one issue card per problem that names the likely cause, beside your release history.
Telecoms Security Act and NIS2 evidence
Changes proposed by one person and approved by another, incident timelines for Ofcom and the NIS2 24-hour early warning, and evidence packs a person signs off.
OSS and BSS connections
Our engineers connect your operations and business support systems, network inventory and controllers through their APIs, so AI agents work across all of them.
A second review on another model
A reviewer AI agent on a different model checks every change against its acceptance criteria. A person decides the merge.
The same week, with JuhJuh.
Alerts arrive from separate tools, and the on-call engineer pieces together which release caused it before anyone can act.
The SRE on-call AI agent opens the incident, finds the release and sends the on-call engineer a voice note. She approves the rollback with one tap, and the service is healthy by 2:31am.
An engineer edits a configuration file on a laptop, writes the method of procedure separately and runs the change by hand.
The network change AI agent prepares the change with its method of procedure and back-out plan. A senior network engineer approves the merge, and the change advisory board approves Tuesday night's change window.
Someone spends days pulling tickets, approvals and release notes from three tools.
The compliance evidence AI agent assembles the record, and the head of IT signs it off.
Every role gets time back.
A person approves anything consequential.
What your AI agents never do on their own
- Merge a change, or approve their own work. A different AI agent on a different model reviews it, and a person decides.
- Deploy to production, run a change on the live network through your pipeline or roll back without a person's approval.
- Change production or network settings, access or secrets outside your pipeline.
- Take a containment step during a security incident. They prepare the facts for the person who decides.
- Decide whether to report an incident or a breach to a regulator, an authority or customers.
- Use an AI model your rules haven't approved.
Self-hosted in your own data centre
JuhJuh runs as your own installation, on your own hardware in your own data centre or in your own cloud account. Connect it only to the outside services you choose, or run it air-gapped with no connection to the public internet at all.
Open-weight models from the Mistral, DeepSeek, GLM and Kimi families run inside. When your AI agents run only on your own models, subscriber data, network designs and lawful intercept arrangements never leave the boundary unless you connect or approve it.
Bring AI inside your network.
Start with one or two teams, and add the rest when you're ready. That's the juju.
