MS New CSS
MS New HTML
Managed Services · Data & AI Operations

Next-gen Managed Service
for Cloud, Data & GenAI Ops.

ICS Compute operates Hybrid–MultiCloud environments with 24/7 managed service discipline, extending operations into DataOps, GenAIOps, AgentOps, and FinOps with AI, automation, and business value management.

24/7 MSP Hybrid–MultiCloud operations, incident response, and service governance
Data & GenAI Ops DataOps, GenAIOps, AgentOps, RAG operations, and AI governance
FinOps with AI AI-powered cost visibility for cloud, Kubernetes, and AI model usage
Explore Service Packages View Capabilities
Cloud, Data & GenAI Operations

Data & GenAI-ready Managed Service for multicloud operations.

Modern managed service is no longer only about keeping infrastructure alive. ICS operates the platform, data, AI workload, and cost signals together so customers can run cloud, analytics, GenAI, and automation workloads with clearer ownership, stronger governance, and measurable service value.

01
Managed Platform Operations
24/7 Hybrid–MultiCloud monitoring, incident response, service request handling, backup support, security signal review, escalation governance, and SLA discipline.
02
DataOps Reliability
Database health, backup validation, data freshness, data quality checks, dashboard reliability, and operational evidence for business-critical data workloads.
03
GenAIOps and AgentOps
AI workload inventory, model/API health, RAG operations, token and cost monitoring, agent task success, approval flow, and audit trail governance.
04
FinOps with AI
Cost visibility across cloud and AI usage, anomaly detection, budget insights, rightsizing recommendations, token visibility, and value tracking.
Operate
Keep multicloud services, data platforms, and AI workloads monitored and supportable.
Detect
Identify incidents, backup gaps, data freshness issues, model/API health risks, and cost anomalies.
Improve
Turn recurring operational signals into runbook, automation, governance, and optimization actions.
Report Value
Translate technical health, cost, risk, and adoption signals into customer-facing service value.
Core Service Capabilities

A next-generation MSP for cloud, data, GenAI, and FinOps.

ICS Compute brings together multicloud reliability, DataOps, GenAIOps, AgentOps, AIOps, cybersecurity-aware operations, FinOps, automation governance, customer success, and service delivery governance into one managed operations model.

AI-assisted
AIOps
AI-assisted triage, alert correlation, noisy alarm reduction, RCA acceleration, and prevention planning.
Triage Correlation RCA
AI-assisted
DataOps
Database health, backup validation, data freshness, data quality checks, and dashboard reliability review.
Backup Freshness Quality
AI-assisted
GenAIOps
AI workload inventory, model/API health, RAG operations, token and cost monitoring, and knowledge freshness.
RAG Token API Health
AI-assisted
AgentOps
Agent task success monitoring, failed tool call review, approval flow, audit trail, and human-in-the-loop governance.
Agents Audit Approval
AI-assisted
Automation Governance
Runbook modernization, automation backlog, approval-based remediation, service governance, and SOP improvement.
Runbook Automation Control
Value-led
Value Management
Monthly value reporting, roadmap advisory, service improvement planning, and business impact translation.
Value Roadmap Review
Operational Scope

One service desk view for cloud, data, and AI.

ICS keeps the operational signals connected: platform health, data reliability, AI workload status, cost usage, and service improvement. The goal is simple — fewer blind spots and clearer actions for the customer.

24/7 Multicloud operations and incident response
AI-assisted Triage, summary, RCA, and recommendations
Data-ready Backup, freshness, database, and dashboard checks
Value-led Review cadence, reports, and improvement backlog
Cloud Platform
Keep the environment running
Monitor availability, capacity, incidents, backup status, security signals, and service requests across Hybrid–MultiCloud environments.
Data Layer
Keep the data reliable
Check database health, backup validation, data freshness, dashboard reliability, and data quality signals that support reporting and AI use cases.
AI Workloads
Keep AI observable
Track AI workload inventory, model/API health, RAG knowledge freshness, token usage, agent activity, approval flow, and audit trail.
Cost & Usage
Keep spending visible
Review cloud cost, Kubernetes cost, AI token usage, cost anomaly, rightsizing opportunity, and optimization recommendation.
Service Value
Keep improvement moving
Convert incidents, findings, cost signals, and AI adoption progress into runbook updates, automation backlog, and customer value reports.
Operating Model

A practical operating model for AI-assisted multicloud and Data & AI Operations.

The service is designed to match a realistic managed service team structure: frontline operations keep the environment stable, engineering validates and improves, customer success converts operations into Data & AI adoption value, and service delivery governs SLA and risk.

01
Run & Respond
Frontline Operations
Monitors cloud, data, backup, ticket, cost, and AI workload signals; performs AI-assisted triage; acknowledges incidents; executes approved runbooks.
02
Engineer & Improve
Engineering & Ops
Validates RCA, designs remediation, improves runbooks, supports DataOps and GenAIOps checks, and builds the automation backlog.
03
Advise & Grow
Customer Success
Turns operational signals into customer value, adoption roadmap, improvement recommendations, and practical Data & AI use case expansion.
04
Govern & Deliver
Service Delivery
Owns service quality, SLA governance, monthly review cadence, risk control, escalation discipline, evidence, and delivery assurance.
Managed Service Adoption Path

From stable multicloud operations to production Data & AI value.

A practical progression for upgrading the managed service without disrupting the existing cloud support foundation.

Phase 01
Stabilize
Keep 24/7 managed cloud operations, incident response, backup checks, and service reporting stable while introducing Data & AI signals.
Phase 02
Instrument
Add DataOps checks, GenAIOps inventory, FinOps with AI visibility, and AI-assisted ticket summarization.
Phase 03
Operationalize
Standardize RCA acceleration, runbook modernization, automation candidates, and monthly Data & AI value reporting.
Phase 04
Scale Value
Expand into AgentOps, RAG operations, AI governance, executive roadmap, and continuous improvement for production AI adoption.
Service Packages

Six packages: cloud foundation or Data & AI upgrade.

Start with the existing Managed Cloud Service packages, or choose the upgraded packages that combine the same cloud foundation with Data & AI Operations. The upgrade path is clear and non-disruptive.

Cloud Foundation

Regular — Standard

Entry managed cloud service for customers that need standard support, basic operational reporting, backup support, and cost awareness.

  • 8×5 support coverage
  • Standard SLA response
  • Monthly report and budget alert
  • Backup and restore management
  • Cost optimization recommendation
Best for baseline managed cloud support
Cloud Foundation

Premium

24×7 managed cloud service for production workloads that need stronger SLA, incident handling, security review, OS support, WAF support, and operational review.

  • 24×7 monitoring and support
  • Critical response within 15 minutes
  • Major incident report
  • Security group, IAM, OS patching, and WAF support
  • Monthly operational review meeting
Recommended base for production workloads
Cloud Foundation

Enterprise

Advanced managed cloud service for critical environments that require dedicated support, stronger SLA, custom reporting, DR drill, advanced monitoring, and performance optimization.

  • 24×7 support with enterprise SLA
  • Dedicated support and delivery governance
  • Custom report and onsite/online review
  • DR drill and DR site monitoring
  • Advanced monitoring and performance optimization
Best for critical and enterprise workloads
↑ Data & AI Upgrade ↑
↑ Recommended Upgrade ↑
↑ Strategic Upgrade ↑
Data & AI Upgrade

Regular + Data & AI Ops Starter

Starter upgrade for customers that want to add basic AI-assisted operations and data reliability checks to the Regular package.

  • Regular — Standard foundation included
  • AI-assisted ticket summary
  • Basic DataOps checklist and backup validation insight
  • Basic FinOps with AI visibility
  • Monthly operational insight and basic value report
Best for first Data & AI Ops adoption
Recommended Upgrade

Premium + Data & AI Ops Professional

Main upgrade package for production customers that want Premium managed cloud support plus measurable Data & AI operational value.

  • Premium foundation included
  • AI-assisted triage and RCA acceleration
  • DataOps health and backup validation
  • GenAIOps inventory and model/API health review
  • Automation candidate backlog and monthly value report
Recommended for production Data & AI workloads
Strategic Upgrade

Enterprise + Data & AI Ops Enterprise

Strategic package for critical customers that need enterprise cloud operations, AI governance, executive reporting, AgentOps, and continuous improvement roadmap.

  • Enterprise foundation included
  • Advanced AIOps and GenAIOps governance
  • AgentOps, RAG operations, approval flow, and audit trail
  • AI token/cost visibility and Kubernetes cost visibility
  • Executive value report and quarterly AI adoption roadmap
Best for strategic AI adoption and governance
Managed Service Use Cases

Operational insights delivered to every customer.

These are practical service outputs, not experimental AI demos. Depending on package scope and customer data availability, ICS generates these summaries and recommendations with AI assistance as part of recurring managed service operations.

Daily Operations
Daily multicloud utilization summary
AI-assisted summary of compute, storage, database, network, and platform utilization across the customer's managed cloud environment.
Backup Assurance
Daily backup summary
Daily view of backup completion, failed backup signals, restore readiness indicators, and follow-up actions for critical workloads.
FinOps
Daily cost and usage summary
AI-assisted cost movement summary covering budget risk, cost anomaly, usage trend, idle resources, and optimization opportunities.
Security Operations
Daily security event summary
Summary of relevant security findings, IAM signals, WAF and security group observations, vulnerability alerts, and recommended follow-up.
Predictive Monitoring
Hourly anomaly prediction scan
Recurring scan for unusual utilization, cost movement, error rate, capacity pressure, and operational patterns that may require attention.
Incident Management
AI-assisted RCA and event insight
Daily insight summary for incidents and events, including likely cause, impact, timeline, evidence, and recommended prevention action.
Automation
Approved automatic remediation
Run approved remediation actions through controlled runbooks, approval boundaries, rollback notes, and evidence capture.
Monthly Governance
Monthly well-architected style summary
Monthly summary aligned to well-architected principles covering reliability, security, cost, operations, and improvement actions.

Ready to position this as your next managed service offer?

ICS can package multicloud operations, Data & AI Operations, and AI-assisted service reporting into one customer-facing offer with a clear upgrade path from baseline cloud support to higher-value managed service.

Contact Sales