What the engagement delivered, in numbers.
Scout engineers working inside the regulator’s own data team: one backlog, one set of ceremonies, nothing the client cannot see.
Full end-to-end managed support for the cloud-hosted platform, with severity-based incident handling and defined response times.
Daily, monthly and quarterly reviews, so performance and risk are looked at on a cadence rather than when something breaks.
Cyber risk and threat analysis and security engineering added without disrupting the platform work already under way.
A platform that had grown with the regulator.
The regulator’s decisions and public services depended on a platform that had grown over time: pipelines from operational and HR systems into a reporting store, a data warehouse, online forms feeding it, and the reporting on top. Members of the public search the register, charities file into it, caseworkers and analysts depend on it, and any degradation in performance or data accuracy shows immediately. The regulator wanted it rebuilt without losing its own team’s knowledge, then run by people who would answer for it.
What this shows
A managed service is judged on whether someone is accountable when it matters. A named service manager, severity thresholds and a governance cadence are what that looks like in practice.
The security work was not sold up front; it followed the platform work because the blended model earned it.
Knowledge transferred deliberately, on a shared backlog, is what let the regulator’s own team take on more over time and the outsourced service become a bridge.
“The platform sits under our public register, so what I value is a service that is quiet: incidents handled by severity, changes with a rollback already defined, and a monthly review where I can see what happened. We started fully outsourced and have moved to a model where my own team does more, because the knowledge was transferred deliberately rather than held.”
Head of Data
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