Cloud services, SaaS platforms and artificial intelligence have given companies greater speed and flexibility. They have also made technology spending more variable and harder to explain.
FinOps helps organisations regain visibility and connect technology consumption with the value it delivers to the business. In this article, we explain what FinOps is and how to start applying it.
What is FinOps?
FinOps is a management practice that brings technology, finance and business teams together to improve the return on technology investments. It is not simply about reducing the cloud bill. Its purpose is to understand what is being consumed, who is using it, what results it produces and which decisions could improve the relationship between cost and value.
It turns these matters into a shared responsibility, rather than leaving them solely in the hands of the finance department or technical teams.
Why can technology spending get out of control?
Cloud environments allow resources to be activated within minutes. This agility is valuable, but it also makes it easy for services to accumulate without anyone reviewing them.
One of the most common problems is idle resources. Test environments, virtual machines, temporary databases or services purchased for specific projects may continue generating costs after they are no longer useful. Overprovisioning is also common: applications retain more capacity than they need because no one reviews their actual consumption.
Decentralised decision-making adds to the problem. Marketing, sales, operations or human resources teams may purchase tools independently. This can result in duplicate licences, similar platforms and costs spread across several budgets.
Another issue is the lack of cost allocation. When part of the bill cannot be linked to a product, customer, department or project, management knows how much is being spent but cannot identify which activity is generating that consumption.
The challenge of artificial intelligence spending
AI solutions add another layer of complexity. Their cost may depend on API calls, the number of tokens processed, the model selected, storage requirements or computing capacity.
During a pilot project, the financial impact is usually limited. However, once the solution is rolled out across the organisation, consumption can grow rapidly. A company may use an advanced model for every query handled by an internal assistant, even though many of those queries could be resolved using a lighter and less expensive option. It may also process the same information several times or run inefficient workflows.
Applying FinOps to AI means analysing the cost per query, processed document, active user or automated task. These figures should be compared with the time saved, errors prevented or operational capacity created. This allows management to decide whether the solution should be optimised, redesigned, expanded or limited to specific use cases.
What should management review?
An effective FinOps strategy should turn consumption data into understandable information that supports decision-making. Management should know the cost of each product, service or business unit. It is also useful to calculate metrics that are closely linked to business activity, such as cost per user, order, customer, report or automated process.
Unexpected variations are another important indicator. An increase may be caused by higher sales or a growing number of users. The warning sign appears when costs rise without an equivalent increase in activity or value. The percentage of unallocated spending should also be monitored. If a significant part of the bill has no identifiable owner or purpose, the organisation has a control problem.
Finally, companies should examine how costs evolve as a solution scales. If a solution becomes proportionally more expensive as it grows, there may be an issue with its architecture, configuration or commercial agreements.
How to start applying FinOps?
There is no need to implement a complex programme from day one. Companies can begin with a relevant application, platform or AI initiative.
The first step is to establish a baseline by identifying providers, accounts, subscriptions, resources, owners and spending trends. Each item of consumption should then be allocated to a department, product, customer or project. Unidentified spending should also remain visible.
The next step is to define business metrics. Total cost provides little insight unless it is compared with users, orders, documents, revenue or processed tasks. It is also essential to establish budgets, alerts and regular reviews. An alert should not automatically trigger a spending cut. Instead, it should initiate an analysis of the reason behind the deviation.
From there, the company can remove idle resources, adjust capacity, consolidate licences, automate shutdowns or select different AI models according to the complexity of each task.
Common mistakes when implementing FinOps
One of the most common mistakes is treating FinOps as a one-off cost-saving initiative. If the bill is only reviewed when a problem arises, the company will continue to operate reactively.
It is also common to produce reports that are too technical and fail to connect costs with products, customers or business outcomes. Another mistake is making the infrastructure team solely responsible, without involving finance, product and business teams. FinOps works when there is a regular review process, shared metrics and the ability to act on what is discovered.
A practical example
A company develops an internal assistant that employees can use to search its documentation. During the pilot, twenty employees use it and the cost remains low. Once it is rolled out across the organisation, the bill increases significantly.
A FinOps approach would analyse which departments use the assistant, which queries generate the highest costs, which model is required for each task and how much time the system saves. The assistant may still be profitable, but it might require a more efficient architecture.
FinOps provides the information companies need to invest more strategically and identify areas where spending is not properly controlled.
At MyTaskPanel Consulting, we help organisations design and review cloud and AI solutions with performance, scalability and financial sustainability in mind. Do you need greater visibility into the cost of your technology solutions? Contact us and we will analyse how their efficiency can be improved.
