Optimise IT costs in the AI era

AI is rapidly changing how IT costs arise and scale. Costs are being generated in more and more places, closer to development teams, service owners and the business. As a result, managing costs is becoming increasingly difficult.

Gofore helps organisations rationalise their IT, cloud and AI costs and allocate technology spending where it creates value.

Where do IT costs come from today? Who is ultimately responsible for AI costs? Where should investments be directed, and what should organisations let go of?

IT cost optimisation helps allocate investments effectively

In many organisations, as much as 20–30% of IT spending is estimated to be inefficient or wasted. This is usually not due to a single issue, but rather a combination of factors that have accumulated over the years: underused licences, overprovisioned capacity, overlapping solutions, and services that no longer have a clear owner or business value.

We help our customers move from reactive cost-cutting to continuous value and cost management, while gaining a comprehensive view of and control over their organisation’s IT spending. We identify key cost areas, overlaps, services without clear ownership, licences, workloads and environments where there is scope for optimisation. We understand IT service pricing, AI pricing models and how the overall environment should be structured in the age of AI.

Bringing this overall picture under control also frees up investment capacity for new AI solutions. In many organisations, some AI investments can effectively be funded through more efficient management of the existing IT environment.

Whether you operate in the public cloud, a hybrid environment or your own data centre, we bring cloud-like visibility to your IT costs – who is spending, on what and why.

How do we approach IT cost optimisation?

Technology and capacity level

The technology and capacity level includes, for example, hardware, licences, cloud services, data centres and capacity. Key considerations at this level include understanding the current state, cost visibility, procurement expertise and licence management.

Operational level

This includes areas such as service operations, development teams, partners, software development, AI-assisted work and agents. At this level, organisations need a clear FinOps operating model, cost awareness within teams, forecasting, alerts and shared governance models.

Value creation level

This level includes business decisions, investment allocation, operating models, organisational structures and culture. AI brings changes that often require organisations to renew their ways of working, culture or even organisational structure.

Why do IT costs require particular attention now?

  • AI adoption can rapidly increase IT costs unless the overall environment is managed transparently and proactively.
  • AI costs are distributed across different teams, business units and technology platforms.
  • Costs related to areas such as tokens, GPU capacity and agents are new and therefore difficult to manage.
  • Alongside shadow IT, shadow AI is emerging, with tools and models being adopted without shared visibility or cost discipline.
  • Vendor lock-in, portability and the total cost of different environments are becoming increasingly important considerations in decision-making.

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Contact us

Joonas Vuorela

Head of Business, Cloud and ICT Infrastructure

joonas.vuorela@gofore.com

+358405515749

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