Teceze FinOps and Cloud Cost Optimization gives finance, engineering and leadership one shared view of cloud spend, then removes the waste at source. Idle capacity is retired, commitments are sized to real demand, and every dollar, pound and rupee of spend maps to a team, product or customer. The savings hold because the engineering habits change, not just the invoice.
Book a Cloud Cost Assessment Visibility is not saving. Most teams already know their cloud spend is too high; what they lack is the operating discipline to bring it down and keep it down. Teceze runs FinOps as a practice with owners, targets and a rhythm, not as a monthly report nobody acts on.
Every resource tagged, every untagged cost apportioned, and spend broken out by business unit, product, environment and customer. Showback and chargeback that your finance team accepts without rebuilding a spreadsheet each month.
Idle instances, oversized nodes, orphaned volumes, unattached addresses, forgotten snapshots and zombie test environments. We find them, quantify the recovery and retire them with engineering approval on the record.
Reserved capacity, savings plans and committed use discounts modelled against your real usage curve, then bought in staged tranches. You capture the discount without locking in capacity you may not need next quarter.
Spend deviations surface within hours and route straight to the team that owns the workload, with the likely cause attached. Cost surprises stop arriving at the end of the month when the money is already gone.
Cost per transaction, per tenant, per build and per active user, tracked alongside revenue and volume. Leadership can finally tell whether rising spend is growth or leakage, and price products with confidence.
Monthly optimisation sprints, engineering scorecards, budget guardrails inside the deployment pipeline and a named FinOps lead in your governance calls. Savings are protected by process rather than goodwill.
These are the ranges our enterprise clients typically see within the first two quarters. We baseline your current spend during the assessment, agree what is realistically recoverable, then commit to those savings targets in the contract.
Recovered within two quarters through rightsizing, waste retirement and commitment strategy.
Of steady state compute placed on the right discount instrument at the right term length.
From spend deviation to an alert in the hands of the engineer who owns the workload.
Of monthly spend attributed to a product, team or environment with no manual mapping.
Onboarding runs in three weeks with no change to your architecture: connect billing and usage data, baseline and model the estate, agree the savings roadmap with engineering, then start executing against it.
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Native tools tell you what you spent. They do not decide what to switch off, negotiate your commitments, or get an engineering team to change a deployment template. That gap is where the money sits. We use those tools as the data layer and add the part that actually moves the number: prioritised actions with named owners, a change plan your engineers accept, and a monthly rhythm that keeps the savings from creeping back within two quarters.
AWS, Microsoft Azure, Google Cloud and Oracle Cloud Infrastructure, plus the layers that quietly drive the bill: Kubernetes and container platforms, data warehouses such as Snowflake and Databricks, observability tooling and licence heavy SaaS. Where you still run on premise or in colocation, we include that in the baseline so the comparison is a true total cost view rather than a cloud only picture.
No, because we do not make changes unilaterally. Every recommendation carries the usage evidence behind it, a risk rating and a rollback path, and it goes through your own change process. Changes are staged in non production first, then applied in waves with performance monitored against the pre change baseline. Anything that touches a critical workload waits for explicit approval from the service owner.
Two models. A fixed monthly fee based on the size and complexity of your estate, which keeps the cost predictable and independent of the outcome. Or a share of verified savings for an agreed period, where we are paid from what we actually recover. We will show both against your real spend in the assessment. Most clients start on a share of savings for the first two quarters, then move to a fixed fee once the practice is embedded.
The first tranche usually lands in weeks, not quarters, because the early wins are low risk: idle and orphaned resources, oversized non production environments, storage tiering and obvious licence duplication. The larger structural savings, meaning commitment restructuring, architecture change and unit cost improvement, build over two to three quarters. We sequence the roadmap so quick wins fund the deeper work.
Not to begin. We supply the practitioners, the tooling and the cadence from day one, so you are not blocked on hiring in a very tight talent market. Over the engagement we build the capability inside your organisation: engineering scorecards, budget guardrails in the pipeline, and training for the finance and platform leads who will eventually run it. Independence is the goal, not dependency.
We work from billing, usage and tagging metadata under least privilege, read only access by default. Write access, where an optimisation needs it, is scoped, time bound and logged. Delivery runs from India, the US and the UK, so data residency and working hour requirements can be met contractually. We document exactly what data is accessed, where it is processed and what is excluded before anything is connected.
Cost creep is the default state of any cloud estate, so we treat prevention as part of the service: budget guardrails and policy checks in the deployment pipeline, tagging enforced at provisioning, and a monthly review where each team sees its own trend. We also report the recovered run rate every quarter against the agreed baseline, so any drift is visible while it is still small enough to correct cheaply.
Get In Touch
Book a 45 minute session with our cloud economics team. We will work from your own billing data and show you what share of current spend is recoverable, and how much of it can come out this quarter.