Operate · Managed Data & AI Services
Building data and AI capability is a project; keeping it accurate, available and adopted is a discipline. Our managed service takes on that discipline — pipelines, platforms, analytics and AI solutions operated by a named eAppSys team under SLAs, from the UK and India, with improvement built into every month.
Home› Data & AI › Managed Data & AI Services
Why Managed Data & AI Services
Data and AI estates fail slowly first: a pipeline nobody re-tuned, quality monitoring nobody actions, a model quietly degrading, dashboards drifting out of date. Internal teams built for delivery rarely have the capacity — or the incentive structure — for the unglamorous work of keeping it all excellent.
Our managed service makes that work someone’s explicit job. A named team that knows your estate, SLAs that make performance measurable, a monthly improvement rhythm that leaves the estate better each quarter — and enterprise systems data expertise underneath it all, because that’s where your data comes from.
People who know your estate, your data and your business — continuity you can build on, not tickets into the void.
Response and resolution commitments per service tier, reported monthly — performance you can hold us to.
A maintained improvement backlog worked every month — the estate gets better under management, not just kept alive.
Onshore engagement with offshore scale — coverage and cost shaped to what your estate actually needs.
We present the same work in the language each stakeholder needs — commercial for the boardroom, plan-ready for the programme, technical for the architecture.
Talk to our Oracle EBS experts today
Six service lines, combined to fit your estate.
Every engagement is scoped around a defined set of deliverables agreed at the outset.
AI and analytics are only as good as the enterprise data beneath them. That data is our home ground.
A structured route from wherever you are today to a steadily improving estate.
Knowledge capture, runbook validation and shadow running — a defined transition, not a hopeful handover.
Early focus on recurring incidents and fragile components — the fastest route to a quieter estate.
Steady-state operations with monitoring, controlled change and monthly service reporting.
The improvement backlog worked every month — performance, cost, debt and capability, measurably better each quarter.
Enterprise AI connects naturally with these services across our Data & AI portfolio.
