
Logiciel runs cloud cost optimization for large enterprises across AWS, Azure and Google Cloud. FinOps, tagging, rightsizing, commitments, Kubernetes cost control and finance-grade reporting, delivered as a programme rather than a one-off cleanup. We work alongside CFO, FinOps, cloud and platform teams to rebuild the cost operating model around your business so the savings hold.
A shared tagging and allocation baseline across AWS, Azure and Google Cloud.
Rightsizing recommendations validated against real performance data.
A commitment strategy across savings plans, reserved instances and equivalent commitments on Azure and Google Cloud.
Kubernetes cost reporting that maps to teams, products and tenants.
AI workload cost reporting tied to use cases, business units and model selection.
Weekly and monthly reports that finance, engineering and product can all use.
A documented enterprise FinOps practice that survives team changes.
We cover the cost levers that matter at enterprise scale.
Multi-Cloud Cost Visibility and Allocation
Tagging strategy, cost categories and dashboards that map spend to teams, services and customers across AWS, Azure and Google Cloud.
Compute Rightsizing at Scale
Rightsizing for EC2, EKS, AKS, GKE, Lambda, App Service and equivalent compute services across the enterprise.
Storage and Data Optimisation
Storage lifecycle policies, intelligent tiering, EBS, Azure Disk and Persistent Disk cleanup and tuning.
Database Cost Optimisation
RDS, Aurora, DynamoDB, Cosmos DB, Cloud SQL, Spanner and equivalent database tuning, commitments and auto-pause patterns.
Commitment Strategy Across Clouds
Commitment modelling across savings plans, reserved instances, Azure Reservations and Google Cloud Committed Use Discounts, with renewal cadence.
Kubernetes Cost at Enterprise Scale
Cost allocation, per-namespace chargeback, autoscaling tuning and Spot strategies across EKS, AKS and GKE.
AI Workload Cost Governance
Cost controls for analytics, ML training, inference and generative AI workloads across Bedrock, OpenAI, Vertex AI and SageMaker.
Enterprise FinOps Operating Model
Roles, cadences, KPIs and reports for an enterprise FinOps practice that runs across business units.
A standing team of FinOps engineers and cloud engineers embedded in your central FinOps function.
Senior FinOps consultants who reinforce your enterprise FinOps function.
Fixed-scope engagements with a defined savings target and timeline, measured against a baseline agreed up front.
Patterns from our FinOps engineers that have run through real enterprise estates.
A reference operating model for FinOps across business units, finance and engineering on AWS, Azure and Google Cloud.
A practical pattern for governing cost of analytics, ML training, inference and generative AI workloads at enterprise scale.
We pull billing, usage, tagging and architectural data, then produce a single baseline that everyone agrees with.
We execute safe, fast moves first. Untagged spend, idle resources, lifecycle policies and obvious oversizing.
We work through architecture-level savings including replatforming, auto-scaling, Spot adoption and storage redesign.
We model and apply commitments across clouds and put AI workload cost governance in place.
We hand over a working enterprise FinOps practice, including roles, dashboards, reviews and KPIs.



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
We cover strategy, architecture, build, deployment and operations for Cloud Cost Optimization Services for Enterprise, aligned with your business priorities and operating constraints.
Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.
Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.
Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.
You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.
We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.
We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.
Yes. We run managed operations with SRE, observability, on-call and continuous improvement.
Ready to bring Cloud Cost Optimization Services for Enterprise under control without slowing engineering down? Partner with Logiciel to design, build and operate Cloud Cost Optimization Services for Enterprise that engineering, security and business teams can all defend.