Access point placement is planned around Marvis and the Mist AI platform from the outset, so every AP isn't just providing coverage — it's feeding the data that lets the network flag problems before anyone reports them. We handle the site survey, the placement, and the configuration, so the AI layer has good data to work with from day one instead of being switched on as an afterthought.
We design and build out campus and branch switching using Juniper's Virtual Chassis architecture, so a growing site adds capacity by stacking another switch rather than re-architecting the network each time. That scales cleanly from a small branch to a large campus without a step-change in management complexity. It's built to grow with the site, not to be replaced by the next one.
Firewall and WAN edge infrastructure gets deployed at the branch to the same standard as the core network, not treated as a lesser priority because it's a smaller site. We handle SD-WAN configuration so traffic is routed intelligently across available links, and security policy stays consistent whether a user is in head office or a two-person branch.
Buying hardware that supports Mist AI and actually having Marvis working properly are two different things — we handle the configuration, policy setup, and tuning that makes the AI layer genuinely useful, not just switched on and ignored. That includes setting up the service-level expectations and alerts that make Marvis worth having in the first place, rather than leaving it running on default settings nobody's looked at.
Moving off ageing controllers and appliances is usually the part businesses put off longest, because a bad cutover means downtime nobody wants to own. We plan migrations to minimise disruption — staged cutovers, parallel running where it makes sense, and a rollback plan if something doesn't go as expected — so replacing legacy infrastructure doesn't become an outage of its own.
Support covers the whole stack — wireless, switching, and security — not just whichever piece happens to be causing a problem today. Because everything reports into the same Mist AI platform, troubleshooting doesn't mean pulling logs from three different systems and hoping they line up. We manage it as one network, because that's what HPE Juniper built it to be.
