THE VISIBILITY GAP
Most finance teams can see the total AI and Cloud bill, few have visibility on usage.
With FinOps Optimisation, we help you manage what you spend on cloud and AI the way you would manage any other large, variable cost, with finance, technology and the business all working from the same numbers.
Your cloud bill comes from several providers, a dozen teams and a growing list of AI tools. Most cloud waste is like paying to heat five rooms when you only live in two. A test environment runs all weekend though nobody touches it after Friday. Storage holds snapshots from a project that finished last year. A department signs up for an AI service and nobody notices when usage triples. None of it looks like a problem until the invoice arrives.
We connect to your cloud and AI accounts, bring the billing and usage data into one view, tag it by team and department, and show you where the money goes. Then we help you act on it.
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Years experience
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S&P 250 / ASX 50 clients
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AI & automation projects
WHAT’S INCLUDED
What does FinOps Optimisation include?
Our end-to-end services help you save costs by giving you greater visibility on AI and cloud usage.
1. Cloud Cost Assessment
A one-off review of your cloud and AI spend. You get a clear picture of who uses what, a list of waste ranked by what it costs you, the governance gaps behind it and a savings plan your finance team can take to the board.
2. Continuous Managed Optimisation
After the assessment we keep monitoring: flagging unusual spend before the month closes, recommending where to resize or switch off, forecasting next quarter’s costs and keeping teams inside their budgets.
Where the savings are
What we look at
We cover AWS, Microsoft Azure, Google Cloud, Oracle Cloud and private cloud, along with Kubernetes, Databricks, Snowflake, Microsoft 365 and AI models from OpenAI, Anthropic and Google.
Idle and orphaned resources
Servers, storage, snapshots and load balancers nobody is using.
Resources sized far bigger than the work they do
Capacity paid for well beyond what the workload actually needs.
Workloads that can be switched off overnight and on weekends
Plus whether your reserved capacity and savings plans match what you actually use.
AI model usage
Billed by consumption and harder to forecast than most cloud costs.
Tagging and ownership
So every dollar has a team attached to it.
Request an initial cloud cost assessment by our experts today
INDUSTRIES
We specialise in delivering AI and automation solutions across industries
We provide research-enabled, results-driven and responsible AI and automation services as your trusted partner.
Why Choose Mindfields for Your FinOps Optimisation?
Five commitments that shape every FinOps Optimisation project, and that you can hold us to.
We’ve been providing consulting services to large organisations since 2006 and AI services since 2016. Our experts are experienced to provide the right answer for your challenges.
We don’t sell cloud capacity. We hold partnerships across multiple automation and AI platforms and we recommend options on the basis of your specific needs.
Our published research on enterprise AI and automation sits behind the advice, alongside what we see in client work.
The consultants who run your sessions are the ones who write the roadmap, with delivery teams in Australia, India and the US behind them.
The consultants who run your sessions are the ones who write the roadmap, with delivery teams in Australia, India and the US behind them.
OUR PARTNERS
Built on trusted technology
We partner with leading technology companies to bring the best solution framework to our clients
Common questions
Frequently asked questions
A budget cut happens once and the spend creeps back. FinOps keeps spend in line with value as usage grows: every team sees its own costs, owns them, and gets warned before something runs away.
No. We work from billing, usage and resource data. Your team sets up the access and controls the permissions, and the process is designed to protect your sensitive data.
No. Collecting the data changes nothing. Nothing is resized or switched off without your team's approval.
Yes. Usage of AI models and platforms is billed by consumption, and for many organisations it is now the fastest-growing line on the bill and the hardest to forecast. It sits in the same view as the rest of your cloud costs.
No. We work across the providers you already use.
Approximately 4-6 weeks for assessment and report followed by delivery of changes, which depends on approval and current technology in scope.
Our experienced, senior AI and automation architects, with an onshore and offshore team and Australian-based delivery governance.
Guiding innovative enterprises from research to results.
