Transform Cloud Financial Management from Chaos to Control
Cloud adoption is accelerating, but cost visibility and accountability lag behind. Multi-cloud complexity, AI-driven workloads, and stricter regulations have made FinOps a boardroom imperative.
Sutherland’s AI/ML-enabled Cloud FinOps unifies analytics, automation, and expertise to deliver real-time, cross-cloud visibility (AWS, Azure, GCP, OCI), actionable optimization driving ~30% savings in 90 days, and built-in governance for lasting control and compliance.
What Sets Our Approach Apart:
- Sutherland C.L.A.W.S approach to FinOps – Integrating Contract, Licensing, Architecture, Wastage, and Sizing as primary pillars for FinOps management
- AI/ML-Powered Optimization: Predictive cost forecasting with 95%+ accuracy, intelligent anomaly detection, and automated rightsizing recommendations
- Multi-Cloud Unified Platform: Single pane of glass across AWS, Azure, GCP, and OCI with no vendor bias or tool sprawl
- Managed FinOps Operations Center: Dedicated team of FinOps engineers, cloud architects, and financial analysts providing hands-on optimization and governance support
- Industry & Compliance Expertise: Deep vertical experience in BFSI, healthcare, and regulated industries with built-in governance and audit support
Proven Results: Consistent cost savings delivery with documented ROI and Sutherland-invested POC model reducing customer risk
Quantified Business Impact Delivered
~30% Cloud Cost Savings
Identified within 90 days through intelligent resource optimization, rightsizing, and scheduling recommendations
Real-Time Cost Visibility
Unified cost analytics dashboard across all cloud providers and accounts with workload-level granularity
Accurate Spend Forecasting
AI-powered models predict future cloud costs with high accuracy, eliminating 20-40% forecast overruns
70% Reduction in Manual Effort
Automated optimization recommendations and implementation reduce cloud operations manual work
Improved Governance & Compliance
Enforce tagging compliance, cost allocation policies, chargeback mechanisms, and audit trails
Enhanced Operational Agility
Faster deployment cycles, improved security posture, and better resource utilization
Cloud FinOps Powered by EASICloud
Sutherland AI ML-Enabled Cloud FinOps comprises the following integrated services:
Cloud Cost Analytics Platform
Unified multi-cloud cost dashboard with KPI tracking, trend analysis, and anomaly detection across AWS, Azure, GCP, and OCI environments.
AI-Powered Optimization Engine
FinOps-as-a-Service
Cloud Financial Governance Framework
AI/ML Workload Cost Management
FinOps Maturity Assessment
FinOps AI Consultant Support
Core Cloud Platforms Supported by EASICloud & C.L.A.W.S Framework
Sutherland C.L.A.W.S approach to FinOps – Integrating Contract, Licensing, Architecture, Wastage, and Sizing as primary pillars for FinOps management
Native AWS cost optimization, EC2 rightsizing, reserved instance management, container cost analysis, and AI workload optimization
Native Azure cost management integration, resource optimization, hybrid environment support, and Azure-specific governance
GCP cost optimization, Compute Engine efficiency, BigQuery cost analysis, and multi-cloud unified visibility
OCI native cost optimization and unified multi-cloud cost management without OCI-specific silos
Cost management framework for on-premises, private cloud, and hybrid environments alongside public cloud optimization
Why Sutherland
Distinctive Competitive Advantages in Cloud FinOps (C.L.A.W.S: Integrating Contract, Licensing, Architecture, Wastage, and Sizing as primary pillars for FinOps management):
AI/ML-Driven Cost Intelligence
Industry-leading Predictive cost forecasting (95%+ accuracy), AI anomaly detection, and automated optimization that outperform traditional FinOps for faster, deeper savings.
Managed FinOps Operations Center Model
Hands-on optimization by FinOps engineers, cloud architects, and analysts—not just tools—accelerating value and minimizing execution risk.
True Multi-Cloud Architecture
Unified cost governance across AWS, Azure, GCP, and OCI with zero vendor bias; eliminates provider lock-in and tool constraints.
Industry & Regulatory Expertise
Proven success in BFSI (11.7% market growth), healthcare, and regulated sectors with built-in compliance, audit trails, and workload-level cost attribution.
Proven Cost Savings Delivery
Documented, guarantee-backed savings via Sutherland-funded POCs, unlike competitors’ “potential” results.
Comprehensive Cost Attribution & Financial Sophistication
ML-driven license and cost tiering, multi-model chargebacks, and advanced financial mechanisms for enterprise-grade cost control.