Banking - Europe
Modernising a 220M-account retail bank to cloud-native in 18 months.
70% faster time-to-market on new products; 60% reduction in run cost; zero customer-facing incidents during cutover.
Run / Managed services
Managed services that make reliability feel routine.
We take accountability for hybrid estates, service operations, observability, and resilience for clients that cannot afford drama in production. The model is outcome-led: fewer incidents, faster recovery, sharper run economics, and a technology estate that gets better while it runs.
What this service category is built to do.
Our managed services teams combine platform engineering, site reliability, service management, and operational analytics in the same run model. That matters because most client pain does not sit neatly inside a single tower anymore.
We typically begin with a ninety-day stabilisation plan, then move into automation, resilience engineering, and commercial baselining so the operating model keeps compounding instead of settling into reactive support.
Talk to a Run partnerA typical managed-services operating model joins observability, command, automation, and service experience into one accountable run spine.
Outcomes we manage to
The run metrics clients hold us to.
99.98%
critical-service availability across run towers
36%
lower incident volume in year one
24x7
follow-the-sun command coverage
43%
L1/L2 automation after stabilisation
Core capabilities
The workstreams inside the run model.
Capability 01
Integrated command centre
A single operational picture across infrastructure, applications, cloud, service demand, and business-impact signals.
Capability 02
Reliability engineering
SLOs, error budgets, resilience rehearsals, recovery design, and the engineering discipline to reduce recurring failure.
Capability 03
AIOps and automation
Signal correlation, self-healing, change-risk controls, and runbook automation that reduce toil instead of shifting it.
Capability 04
Service experience
Multilingual service desk, executive reporting, and clear user-facing communications when issues do happen.
How we operate
A disciplined rhythm from stabilisation to continuous improvement.
Phase 01
Stabilise fast
We establish a run baseline, map service criticality, and remove the biggest sources of repeat failure within the first ninety days.
Phase 02
Instrument everything
Golden signals, dependency maps, and business-service views make incident prioritisation and change approval materially better.
Phase 03
Improve the run every quarter
Each QBR tracks automation yield, resilience posture, run-cost takeout, and the next backlog of engineering improvements.
Where it shows up
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Case studies that map to this service.
Energy - European utility
Grid-edge intelligence across 9 countries.
Outage detection sub-90s on average; renewables integration 38% faster; customer-facing outage minutes down 41%.