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Managed Services

Someone accountable at three in the morning

Managed operation of the platforms and systems you depend on, with service levels written against outcomes — data freshness and model quality, not only uptime.

Managed Services

How we approach it

Building something is the short part of its life. Most of the cost, and nearly all of the risk, sits in the years afterwards — when the person who built it has moved on and the documentation has drifted.

We run systems as a service across five locations, giving genuine follow-the-sun coverage. Engagements start with a transition period in which we learn the estate and write the runbooks, whether or not we built it.

How we work

The sequence, in the order it actually happens

Assess and transition

A structured onboarding: estate discovery, runbook creation, monitoring setup and knowledge transfer before we take responsibility.

Stabilise

Clearing the backlog of known issues, fixing the alerts that fire constantly and mean nothing, and establishing a real baseline.

Operate to service levels

24/7 monitoring and response against agreed targets, with named engineers who know your environment.

Improve continuously

Quarterly review covering incident trends, cost, capacity and a prioritised improvement backlog.

24/7Coverage across five locations
2008Operating enterprise systems
100+Institutional clients
5Delivery locations
Use cases

Managed Services in practice

Representative engagements, described at the level our clients permit. Sector and shape are accurate; identifying detail is withheld.

Public sector — AI Managed Services

Keeping a public-facing assistant accurate as policy changes

Policy updates monthly. The service re-indexes on change, runs the evaluation suite against updated content, and flags answers that shifted materially for human review before release.

Outcome — Answers stay current without a manual re-verification project each cycle.

Higher education — Data & Analytics Managed Services

Covering a small internal data team

A three-person team could not sustain on-call. We took overnight and weekend operations while they kept development.

Outcome — Overnight failures fixed before the working day, without an on-call rota.

Public sector — Database Managed Services

Cover for a mixed Oracle and SQL Server estate

One DBA supported both platforms with no redundancy. Managed service provided continuous cover across engines and eliminated single-person dependency.

Outcome — Continuous cover across both platforms without recruiting two specialists.

Higher education — Application Managed Services

Supporting a heavily customised PeopleSoft Campus Solutions estate

Years of customisation had made upgrades daunting. We documented the customisation footprint, took on support, and began retiring modifications that standard functionality now covers.

Outcome — Upgrade path recovered by shrinking the customisation surface.

Public sector — Cloud & Infrastructure Managed Services

Bringing a sprawling cloud estate under control

Departmental subscriptions had proliferated with no shared standards. We introduced landing-zone structure, policy enforcement and consolidated monitoring.

Outcome — One operating standard across departments, with spend visible per unit.

Financial services — DevOps & MLOps Managed Services

Automating a manual release process

Releases were a scheduled evening event requiring several people. We automated the pipeline with approval gates and automated rollback.

Outcome — Releases moved from an event to a routine, with rollback tested.

Start with three weeks and a straight answer

The AI Readiness Assessment is fixed in scope, fixed in price and produces four deliverables you own — whether or not you continue with us.