ICS Compute operates cloud infrastructure and AI workloads under defined response and resolution times, with weekly reporting and full client access to monitoring dashboards. We design, build, and manage cloud environments end to end. The client can take over management at any point without technical barriers, because every procedure we operate is documented.
The system is running, but no internal team has the capacity to monitor it consistently around the clock.
Cloud costs keep rising without clear accountability and no one is closing the loop.
Incidents are only discovered after end users have already raised complaints.
Illustrative service shape. SLA tiers, response times, and reporting cadences are defined contractually per engagement. The shape and the transparency commitment are constant.
Business and tech together. ROI ranked.
~ 4–6 weeks
Quick wins. Real environment. Measurable.
First 90 days
Stakeholder alignment. Cross-division rollout.
Months 4–12
Hand-off when ready.
24×7 monitoring across cloud infrastructure and AI workloads. Alerting is tuned to actionable signal, not to alert volume.
Contractual SLAs with defined response and resolution times. Continuous cost management with monthly reviews, rightsizing recommendations, and anomaly detection.
Zero-downtime patching for operating systems, containers, and databases. Automated backup validation and periodic recovery drills, not just scheduled jobs.
Weekly reports, monthly business reviews, and full client access to monitoring dashboards. Procedures documented end to end so the client retains the option to take over.
We merge 24×7 operations, SLA ownership, cost control, patching, and recovery into one operating model that the client can inspect and take over.
24×7 monitoring covers cloud infrastructure and AI workloads, with alerting tuned to actionable signal instead of alert volume.
Incident response runs under defined response and resolution times with consequences, not aspirational targets that sit outside operations.
Monthly cost reviews, rightsizing, reserved-instance strategy, and anomaly detection prevent spend from drifting after migration.
Operating systems, containers, and databases are patched through availability-aware strategies instead of relying on fragile maintenance windows.
Backup and disaster recovery are validated through automated checks and periodic recovery drills, because untested backups are false confidence.Stack and model choices follow your data, team capacity, governance, and long-term ownership path.
Use cases are filtered by impact, data readiness, and adoption risk. The first 90 days produce a live proof, while architecture choices stay tied to your context instead of vendor lock-in.
The client sees the same dashboards we use, receives weekly and monthly operating evidence, and keeps documented runbooks from day one. We avoid vendor dependency by making every routine and incident procedure inspectable, transferable, and ready for handover when the internal team is ready.
An e-commerce platform operated with an internal technology team of five people, who could not sustainably cover both product development and round-the-clock platform operations.
Mean time to recovery sat at around 4 hours. Operational coverage came at the cost of product velocity.
Managed services covering 24×7 monitoring, incident response under contractual SLAs, FinOps, and patch management, with full transparency to the internal team.
Mean time to recovery
Managed services allowed the internal team to focus on product development. Mean time to recovery reduced from 4 hours to 18 minutes.
An organisation post-cloud-migration had no internal FinOps function. Spend was rising without accountability or a clear cost narrative.
Cloud spend was rising month over month against initial post-migration projections, with no FinOps practice in place to close the loop.
Ongoing cloud financial management: monthly cost reviews, rightsizing recommendations, reserved instance strategy, and spend anomaly detection running continuously.
Average savings within first 6 months
Average savings of 20–35% within the first six months compared to initial post-migration spend.
The services below define the scope of a Managed Cloud & AI Operations engagement with ICS Compute. SLA tiers and reporting cadence are defined contractually per engagement.
Cloud infrastructure · AI workloads
Round-the-clock monitoring with alerting tuned to actionable signal, not volume.
Defined response & resolution times
Incident response under SLA with defined consequences, not aspirational targets.
Monthly reviews · rightsizing · anomaly detection
Continuous cost management as an operating practice, not a periodic clean-up.
Technology · Business · Compliance · C-Level
A roadmap reflecting the real needs of the entire organisation, not a single sponsor’s view.
OS · containers · databases
Patching strategies that protect availability rather than relying on maintenance windows.
OS · containers · databases
Patching strategies that protect availability rather than relying on maintenance windows.
Engagement structure is contractual. Managed services agreements are structured as monthly recurring contracts, with SLA tier, reporting cadence, and on-call coverage defined at contract signature. Operations reviews are held quarterly (Premium) or monthly (Enterprise) to assess service performance, cost trends, and upcoming changes. Every procedure ICS Compute runs is documented; if your team is ever ready to insource operations, the runbooks are yours. Minimum engagement period and termination terms are specified in the MSA.