FinOps & Cloud Cost Optimisation

Cloud cost optimization services include a full spend audit across compute, storage, data transfer and AI inference, rightsizing of oversized instances and containers, a reserved instance and savings plan strategy, elimination of idle and orphaned resources, and a FinOps operating model with tagging governance. Findings are delivered within two weeks, with the first savings realised within 90 days.

Most organisations running workloads on AWS, Azure or GCP for more than 12 months carry 20–40% in avoidable spend. The main sources are oversized instances, unused reserved capacity, storage lifecycle gaps, and data transfer costs that have never been reviewed. AI and GPU workloads frequently add another 10–20% on top. We identify and eliminate each category without requiring a re-architecture project.

FinOps (Financial Operations for cloud) is a practice that brings engineering, finance and operations teams together to make data-driven decisions about cloud spend. It works in three phases: Inform (visibility into what is being spent and why), Optimise (rightsizing, reserved capacity, waste elimination), and Operate (governance, tagging, accountability). Unlike a one-off cost review, FinOps embeds cost awareness into your engineering culture so savings compound over time.

AI inference and GPU workloads are the fastest-growing cost category in most cloud environments. We right-size GPU instance types, implement inference batching to reduce per-request cost, set up model caching to avoid redundant inference calls, and establish cost-per-inference monitoring so teams can see the financial impact of every model call. For training workloads, we use spot and preemptible instances and implement checkpoint-resume pipelines to cut GPU spend by 40–60%.

The assessment and audit phase takes two to three weeks. Quick wins — rightsizing, idle resource cleanup, and storage lifecycle fixes — are implemented in weeks three to six and deliver the first measurable savings within 90 days. Reserved instance and savings plan optimisation follows in weeks six to twelve. A FinOps operating model, tagging governance and chargeback reporting are established in parallel so savings continue to compound after the engagement ends.