A cloud bill you can explain and shrink
For CFOs and engineering leaders whose cloud and AI spend is growing faster than the business, and who want each dollar owned before cutting it.
Maatara Consulting is an AI-native technology consultancy, with teams in Concord, California and Bengaluru, India, that designs, builds, secures and runs cloud and AI systems. Our FinOps consulting maps spend to teams and products, then delivers savings engineers can make safely.
- Cost baseline
- Allocation
- Showback
- Savings backlog
- Optimisation cycle
- Operate
How Our FinOps Consulting Works
FinOps consulting brings finance, engineering and product together around cloud spend. We make the bill explainable first - every dollar mapped to a team or product - and then build a ranked list of savings that engineers make through code, so reliability is protected and savings last.
Allocation before optimisation
We fix account structure and tags so spend lands with the team that controls it.
- 100% of spend mapped to an owner
- Shared costs split by agreed rules
Savings ranked by risk
Every saving is estimated and rated for effort and reliability risk, so the easy, safe ones go first.
- Monthly saving per item
- Risk and effort rated
Changes made in code
Right-sizing, scheduling and storage changes go through Terraform and review, not console edits.
- Every change reversible
- No surprise outages from cost cuts
A routine, not a project
Budgets, anomaly alerts and a monthly review keep spend in check after we hand over.
- Alerts on unexpected spend
- Monthly review with owners
Four FinOps Capabilities We Put in Place
Aligned to the FinOps Framework's inform, optimise and operate phases.
Visibility and allocation
Account structure, tagging policy and dashboards that show spend by team, product and environment.
Optimisation
Right-sizing, scheduling, storage tiering, commitments and architecture changes ranked by value and risk.
AI and token cost control
Cost per AI feature, model selection, caching and budgets for LLM and GPU spend.
Forecasting and governance
Budgets, anomaly detection, unit economics and a monthly review cadence.
Our FinOps Consulting Services
A one-off review, a full programme, or ongoing cost management.
Cloud cost assessment
Where the money goes and the top savings, in a written review.
Tagging and allocation
Tag standards enforced by policy, with shared-cost rules.
Showback and chargeback
Monthly cost reports by team and product.
Right-sizing
Compute, database and storage sized to real usage.
Commitment planning
Savings plans and reservations matched to stable workloads.
Kubernetes cost allocation
Spend per namespace, team and service.
AI cost optimisation
Token, GPU and model spend measured and reduced per feature.
Unit economics
Cost per customer, transaction or request, tracked over time.
Managed FinOps
Monthly reviews, anomaly response and savings tracking.
Why Teams Choose Maatara for FinOps Consulting
We are engineers who build and run cloud and AI systems, so we know which savings are safe and how to make them in code. Run-costs are part of every Maatara design from day one. Our homepage clients report infrastructure costs down 38% a year on and AI model usage costs cut by 30%, and our CTO, Krish B, brings 20+ years of storage-efficiency engineering from Dell Technologies.
Meet the teamCloud bill nobody can explain?
Get every dollar mapped to a team and product.
What Teams Achieve
These are the commitments every FinOps consulting engagement works to.
Of cloud spend mapped to a named team or product
Savings backlog with monthly value, effort and risk per item
Trend and anomaly reporting from the first week
Cost per customer or transaction tracked over time
Typical Deliverables
Everything our FinOps consulting team produces stays in your accounts and tools.
Cost dashboard
Spend by team, product and environment, with forecast and budget.
Tagging and allocation policy
Standards, enforcement rules and shared-cost methods.
Savings backlog
Each opportunity with value, effort, risk and owner.
Implemented savings
Changes made in code, with before and after figures.
Unit economics model
Cost per customer, transaction or request.
FinOps operating guide
Roles, monthly review agenda and alert responses.
AI spend rising every month?
See cost per AI feature and where to cut it.
Cost-Aware Systems in Production
Systems our engineers designed with run-cost as a requirement.
MoreSpace
Build · AI - An index-first pipeline that deduplicates files and moves them between a person's cloud storage accounts, built for around 5 PB of private files with authentication and encryption in transit on every transfer.
Digital Signage
Build · Cloud - One player codebase for Android, Linux and desktop, offline-tolerant playback, and a multi-tenant portal that lets non-engineers run forty sites from one login.
Ops-Intelligence
AI · Cloud - An agent that watches enterprise applications, correlates signals across dependent services and points to the dependency behind a failure. Known faults run on deterministic rules, a local model handles only new events, and an operator approves every change.
FinOps Across How You Go to Market
FinOps consulting focuses on different numbers depending on your business model.
B2B & Enterprise
Cost per tenant and gross margin per product, so pricing and discounts reflect what customers really cost to serve.
Tagging projects that never stick?
Enforce allocation through policy and code.
Our FinOps Consulting Process
Six steps from an unexplained bill to a routine that keeps it in check.
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01
Cost baseline
Pull billing data, map accounts and find unallocated spend.
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02
Allocation
Fix tags and account structure; agree shared-cost rules.
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03
Showback
Publish spend by team and product; agree owners.
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04
Savings backlog
Find, size and rank savings by value and risk.
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05
Optimisation cycle
Make savings in code, verify results, repeat.
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06
Operate
Budgets, alerts, forecasts and monthly reviews.
Our Engagement Model
How a FinOps consulting engagement runs commercially.
Analysis
Free cost review and NDA, with read-only billing and account access.
Design
A proposal with scope, milestones and a fixed price; no percentage-of-savings fees.
Development
Allocation, dashboards and savings delivered in short cycles with your engineers.
Optimization
Savings verified against the baseline and the backlog re-ranked.
Deployment
Budgets, alerts and the review routine handed to your owners.
Support
Optional managed FinOps each month, or a full handover.
Savings that came back next quarter?
Set budgets, alerts and a monthly routine.
Flexible Engagement Models
Three ways to buy FinOps consulting.
Dedicated team
A dedicated FinOps and platform team that runs cost management with you, billed monthly.
Hire a teamFixed scope
A cost assessment or a full allocation-and-savings programme, at a fixed, milestone-based price.
Get a quoteAdvisory & hourly
Senior advice on commitments, architecture costs or AI spend, by the hour.
Book advisoryReady for a smaller, explainable bill?
Start with a free FinOps consulting review.
Is FinOps Consulting a Fit for You?
A good fit if
- Your cloud or AI bill has grown faster than revenue.
- Finance cannot see spend by team or product.
- You want savings that do not risk reliability.
- You want a routine your team can keep running.
The wrong start if
- Your total cloud spend is small enough that review time costs more than the savings.
- You want one-off cuts with no ownership afterwards.
- Engineers cannot make infrastructure changes.
FinOps Consulting FAQs
FinOps is the practice of managing cloud spend jointly across finance, engineering and product, so teams can see what they spend, decide trade-offs and act on them. FinOps consulting helps you set up allocation, reporting, optimisation and a routine that keeps costs aligned with business value.
Still have a question?
Ask an engineer, not a call centre. You get a straight answer within one business day.
Ask our teamFinOps is the practice of managing cloud spend jointly across finance, engineering and product, so teams can see what they spend, decide trade-offs and act on them. FinOps consulting helps you set up allocation, reporting, optimisation and a routine that keeps costs aligned with business value.
A bill you can explain, a ranked list of savings, and the routine to keep spend in check. Concretely: allocation by team and product, dashboards, implemented savings with before-and-after figures, unit economics, budgets and anomaly alerts, and an operating guide for your owners.
Yes. We measure cost per AI feature, including tokens, GPUs and vector databases, then reduce it with model selection, caching, prompt changes and budgets. AI spend is often the fastest-growing line on the bill and the least well allocated.
Not if they are made carefully. Every saving is rated for risk, changes go through code review, and we watch performance after each change with a rollback ready. We do not cut redundancy or capacity your reliability targets depend on.
No. We price FinOps consulting as a fixed-scope project by milestone, a dedicated team billed monthly, or advisory by the hour. Fixed pricing keeps our incentives aligned with lasting savings rather than headline numbers, and you get a proposal with the price before work starts.
AWS, Azure and Google Cloud, plus Kubernetes and the AI services running on them. We use each provider's billing exports and tools, and add open-source or commercial cost tools only when they close a real gap, so you are not paying for another platform you do not need.
Need a Cloud Bill You Can Explain?
Tell us which cloud you use, roughly what you spend and what worries you about it. An engineer replies within one business day with a first view. Every FinOps consulting engagement starts with a free consultation.