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About Contact Us
AI-first engineering

FinOps Consulting for Cloud for Mid-Market.

Logiciel runs cloud FinOps consulting for mid-market companies. AWS, Azure and Google Cloud, with tagging, allocation, rightsizing, commitments and Kubernetes cost work, sized for a mid-market business. We work alongside finance, engineering and platform teams to put a practical FinOps practice in place that finance and engineering can both run.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

3 clouds
AWS, Azure, and Google Cloud
5 steps
Our mid-market FinOps framework
Why Logiciel

Why Mid-Market Cloud Bills Keep Growing.

Why Logiciel · 01

Tagging is inconsistent across accounts, subscriptions and projects.

Why Logiciel · 02

Engineers spin up resources without a clear cost owner.

Why Logiciel · 03

Commitments are bought ad hoc, without modelling.

Why Logiciel · 04

Kubernetes and AI workloads grow quickly and dominate the bill.

Why Logiciel · 05

Finance and engineering use different numbers for the same workload.

Why Logiciel · 06

Cost reviews happen quarterly, after the spike has already landed.

What you get

What You Get When You Work With Logiciel on Mid-Market FinOps.

We give mid-market companies a FinOps practice that fits the team and the budget.

01

A clean tagging and allocation baseline

across AWS, Azure and Google Cloud

02

Rightsizing recommendations validated against real performance data

03

A commitment strategy

across savings plans, reserved instances and equivalent commitments on Azure and Google Cloud

04

Kubernetes and AI workload cost reporting

that maps to teams, products and use cases

05

Reports finance

engineering and product can all use

06

A documented FinOps practice

that internal teams can run

What you get

Mid-Market FinOps Solutions Built for Outcomes.

01

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.

02

Compute Rightsizing

Rightsizing for EC2, EKS, AKS, GKE, Lambda, App Service and equivalent compute services.

03

Storage and Data Optimisation

Storage lifecycle policies, intelligent tiering, EBS, Azure Disk and Persistent Disk cleanup and tuning.

04

Database Cost Optimisation

RDS, Aurora, DynamoDB, Cosmos DB, Cloud SQL and equivalent database tuning, commitments and auto-pause patterns.

05

Commitment Strategy

Commitment modelling across savings plans, reserved instances, Azure Reservations and Google Cloud Committed Use Discounts.

06

Kubernetes Cost Optimisation

Per-namespace allocation, autoscaling tuning, Spot and preemptible strategies and chargeback for mid-market Kubernetes workloads.

07

AI Workload Cost Governance

Cost controls for analytics, ML training, inference and generative AI workloads.

08

Mid-Market FinOps Operating Model

Roles, cadences, KPIs and reports for a FinOps practice sized for a mid-market business.

Engagement

Engagement Models Designed for FinOps Consulting for Cloud for Mid-Market Delivery.

01

Dedicated FinOps Squad

What it meansA long-running team of FinOps engineers and cloud engineers embedded in your finance or platform function.
02

FinOps Advisory and Staff Augmentation

What it meansSenior FinOps consultants who reinforce your in-house team during specific phases.
03

Outcome-Based Cost Reduction Engagements

What it meansFixed-scope engagements with a defined savings target and timeline, measured against a baseline you agree up front.
Under the hood

Mid-Market FinOps Services We Deliver.

01

Cloud Cost Diagnostic for Mid-Market

Detailed assessment of cloud spend, usage, tagging and architectural cost drivers across AWS, Azure and Google Cloud.

Included
02

Tagging and Allocation for Mid-Market

Tagging strategy, cost categories and chargeback or showback reporting.

Included
03

Compute and Storage Rightsizing

Rightsizing for compute and storage across AWS, Azure and Google Cloud workloads.

Included
04

Database Cost Optimisation

Database tuning, commitments and auto-pause patterns across managed databases.

Included
05

Commitment Strategy for Mid-Market

Commitment modelling, purchase recommendations, renewal monitoring and break-even tracking.

Included
06

Kubernetes Cost Optimisation for Mid-Market

Per-namespace allocation, autoscaling tuning, Spot and preemptible strategies and chargeback.

Included
07

AI Workload Cost Governance for Mid-Market

Cost controls for analytics, ML training, inference and generative AI workloads.

Included
08

Mid-Market FinOps Operating Model

Roles, cadences, KPIs and reports for a FinOps practice sized for a mid-market business.

Included
Insights

FinOps Consulting for Cloud for Mid-Market Insights & Frameworks.

01

Patterns from our FinOps engineers that have run through real mid-market deployments.

Insights
02

Mid-Market FinOps Operating Model

A reference operating model for FinOps sized for mid-market team and pace.

Insights
03

Mid-Market Kubernetes and AI Cost Pattern

A practical pattern for Kubernetes and AI workload cost allocation in mid-market environments.

Insights
How we work

Our FinOps Consulting for Cloud for Mid-Market Framework.

01

Cost Diagnostic and Baseline

We pull billing, usage, tagging and architectural data, then produce a single baseline that everyone agrees with.

02

Quick Wins

We execute safe, fast moves first. Untagged spend, idle resources, lifecycle policies and obvious oversizing.

03

Structural Optimisation

We work through architecture-level savings including replatforming, auto-scaling, Spot adoption and storage redesign.

04

Commitment Strategy

We model and apply commitments across clouds, with a renewal cadence.

05

FinOps Operating Model

We hand over a working FinOps practice, including roles, dashboards, reviews and KPIs.

Questions

Frequently asked questions.

What does FinOps Consulting for Cloud for Mid-Market include?

We cover strategy, architecture, build, deployment and operations for FinOps Consulting for Cloud for Mid-Market, aligned with your business priorities and operating constraints.

How long does FinOps Consulting for Cloud for Mid-Market typically take?

Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.

Can Logiciel integrate FinOps Consulting for Cloud for Mid-Market with our existing systems?

Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.

Do you offer fixed-cost engagements for FinOps Consulting for Cloud for Mid-Market?

Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.

Who owns the deliverables from a FinOps Consulting for Cloud for Mid-Market engagement?

You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.

How do you handle governance and compliance for FinOps Consulting for Cloud for Mid-Market?

We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.

How do you optimize cost for FinOps Consulting for Cloud for Mid-Market?

We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.

Do you support ongoing operations after launch for FinOps Consulting for Cloud for Mid-Market?

Yes. We run managed operations with SRE, observability, on-call and continuous improvement.

Let's build

Accelerate FinOps Consulting for Cloud for Mid-Market.

Ready to bring FinOps Consulting for Cloud for Mid-Market under control without slowing engineering down? Partner with Logiciel to design, build and operate FinOps Consulting for Cloud for Mid-Market that engineering, security and business teams can all defend.