Cloud financial management
Cloud technology brings cost-saving potential, but it is easy for your organisation’s spending to spiral out of control. Take control with real-time monitoring, AI-enhanced automation and cost analytics.
Get a better ROI on your cloud spending
The first step in getting the most value from your cloud investments is understanding how much you are spending. Our Cloud Financial Management (CFM) solution gives full visibility of your expenditure, allowing you to optimise resource usage and align cloud costs with business value creation.
By combining automation, cost analytics and FinOps (a portmanteau of ‘Finance’ and ‘DevOps’) best practices, our CFM solution empowers you to improve financial accountability across your engineering, finance and business teams.
NashTech clients benefit from an end-to-end FinOps-driven approach, enhanced by AI-powered insights, enabling them to make better decisions and be more agile. By combining advanced automation, deep technical expertise and business-aligned intelligence, we help reduce spend, uncover optimisation opportunities and maximise the strategic value of every cloud investment.
Why you need cloud financial management
Without proper tools, allocating costs associated with cloud spend to specific business units, projects or applications is challenging, leading to budgeting and cost accountability issues.
As cloud environments grow and become more complex, organisations often overprovision resources or use inefficient pricing models, resulting in unnecessary expense.
Static planning models do not align well with the dynamic nature of cloud usage, leading to inaccurate forecasts and budget overruns.
Establishing and enforcing cost-related policies across a large, distributed cloud environment is complex and time consuming without centralised management tools.
Get more value from your investment with cloud financial management
Get a unified view of cloud spend across accounts, services and regions with centralised cost dashboards that provide detailed breakdowns of usage by team, project, application or business unit. Real-time usage monitoring allows your teams to quickly detect anomalies, avoid surprises and take corrective action.
Make better decisions using AI-driven recommendations. Analyse usage patterns and automatically suggest actions such as right-sizing instances, shutting down idle resources or switching to more cost-effective pricing models – making optimisation proactive and continuous.
AI-powered forecasting models allow you to predict future costs accurately. We also offer scenario planning tools to model different usage and scenarios (like migrations) to understand the financial impact before commitment.
With policy-based cost controls and guardrails, administrators can define and enforce rules (e.g. spending limits, region restrictions) to ensure consistent governance across all teams and environments.
Drive down costs, boost performance
When your cloud systems are working efficiently, it brings a host of business benefits. Our solutions empower teams to stay on top of costs, reducing the risk of moving to the cloud, while maximising the value delivered.
Accelerate time-to-value with faster decision making
Centralised dashboards provide instant access to cloud cost data and avoid delays caused by waiting for financial reports. AI-driven projections improve the accuracy of budget planning, while dynamic forecasting detects potential overruns early, enabling proactive adjustments to avoid unexpected costs.
Use data-driven insights to increase productivity and efficiency
By consolidating cost and usage data across services and accounts, teams can easily identify inefficiencies and act, freeing up time and reducing operational overhead.
Better user experience and accountability
Teams can monitor and manage their own cloud spend in real time, fostering accountability and delivering a more responsive and transparent experience.
Precise cost allocation
Allocating costs to specific projects, departments or customers supports accurate billing, better budget planning and clearer ROI, ultimately driving higher profitability.
Automation
AI identifies cost optimisation opportunities instantly. Automated recommendations eliminate guesswork, help you right-size resources and reduce waste with minimal effort. Continuous AI monitoring also flags overspending or underutilisation, enabling teams to scale confidently while staying within budget.
Accelerate time-to-value with faster decision making
Centralised dashboards provide instant access to cloud cost data and avoid delays caused by waiting for financial reports. AI-driven projections improve the accuracy of budget planning, while dynamic forecasting detects potential overruns early, enabling proactive adjustments to avoid unexpected costs.
Use data-driven insights to increase productivity and efficiency
By consolidating cost and usage data across services and accounts, teams can easily identify inefficiencies and act, freeing up time and reducing operational overhead.
Better user experience and accountability
Teams can monitor and manage their own cloud spend in real time, fostering accountability and delivering a more responsive and transparent experience.
Precise cost allocation
Allocating costs to specific projects, departments or customers supports accurate billing, better budget planning and clearer ROI, ultimately driving higher profitability.
Automation
AI identifies cost optimisation opportunities instantly. Automated recommendations eliminate guesswork, help you right-size resources and reduce waste with minimal effort. Continuous AI monitoring also flags overspending or underutilisation, enabling teams to scale confidently while staying within budget.
Client outcomes
Discover how our cloud financial management solutions delivered remarkable results for our clients
Case study: Digital health platform cuts cloud costs by 27%
in cloud costs within the first quarter
during optimisation thanks to intelligent right-sizing recommendations
A fast-growing digital health startup providing virtual care services partnered with us to control escalating AWS costs, as it scaled operations during rapid user growth. Our team deployed self-service cost visibility tools, real-time alerts and optimisation across its environments.
Case study: Better cost control at global tech company
in monthly cloud spend
policies deployed to enforce governance
A global company offering customer engagement solutions needed to gain better control over rapidly rising multi-cloud costs across its global environment. It lacked visibility and was experiencing frequent budget overruns. Our team deployed centralised cost dashboards, AI-driven optimisation and dynamic forecasting tools to overcome these challenges.
Case study: Better budget planning for online learning provider
in overall cloud spend
without requiring additional cloud budget
An online learning platform serving millions of students needed our help to manage cloud spending across product, dev and analytics environments hosted on GCP and Azure. Using our FinOps tooling, the company automated cost policies, enabled show-back for each team and improved budget planning.
Frequently asked questions
Yes. Our solution integrates with existing DevOps workflows to embed cost governance directly into provisioning, deployment and scaling processes – helping digital product teams move fast without overspending.
Most of our clients achieve 15–30% cost reduction in the first 2–3 months by optimising non-critical environments and automating idle resource policies – without disrupting regulated workloads.
We implement granular cost allocation by account, tag or project, enabling full cost attribution and show back to individual business lines and shared service functions
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