Making AI the everyday way of working for an engineering team
Connected-TV analytics
Claude Code became the team's everyday way of working, with changes still going through normal pull-request review.
Safer, faster change for a national public Wi-Fi platform
UK public Wi-Fi provider
Key figures
- Daily release cadence
- 20+ virtual machines in a full replica of the live estate
- Millions of concurrent users on AAA accounting
The challenge
We took on a live production estate built by others, where every change had to be made safely. Shared test environments were a bottleneck, and the whole estate needed encryption at rest.
What we did
- Virtualised the core Wi-Fi platform into a private cloud on VMware vSphere.
- Built a full replica of the live estate, more than 20 virtual machines, that a single trigger stands up.
- Ran AAA accounting on FreeRADIUS, and set up a Docker registry and Kubernetes deployments.
- Tested Chef cookbooks automatically in virtual environments, and introduced DevOps processes.
- Rolled out encryption at rest across the whole estate, alongside wider security remediation.
The result
Releases reached a daily cadence. Cookbook development and pull-request review took less time, and the platform ran AAA accounting for millions of concurrent users with encryption at rest throughout.
More case studies
A cloud platform that matches TV content at scale
Connected-TV analytics
Content from more than 200 capture devices matched against over 6 million titles and 17.7 million artworks, about 300,000 observations a week.
Let's talk about what AI can do for your team
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