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Cloud bills grow faster than cloud value because cost visibility arrives after the spending. We move the accountability upstream — into the engineering team, before the invoice.
Engineering-led cloud cost governance that scales efficiency as the platform grows.
BNS embeds FinOps practices that cut cloud spend, align cost to value, and make the engineering team the driving force behind cloud financial accountability — not the CFO's emergency brake.
BNS FinOps programs give engineering organisations the cost visibility, incentive structures, and tooling to govern cloud spend as an engineering discipline — not a quarterly finance exercise. The fastest path to cloud cost reduction is engineering team accountability, not cost-cutting mandates. We build showback models, rightsizing programs, commitment strategy, and workload efficiency reviews that give teams the information they need to make good cost decisions at design time. Every FinOps program integrates with the cloud and platform foundations that host the workload.
Our FinOps principals have run cloud cost programs across AWS, Azure, and GCP at enterprise scale — and have seen the patterns that drive unnecessary spend at every layer of the stack. We do not recommend a commitment purchase as the primary strategy. We fix the workload first, then commit to what is left. Engineering-first incentives, unit economics dashboards, and anomaly detection are in place before the first savings report lands on the finance team's desk.
Cost inventory, allocation analysis, and top-ten waste sources across the cloud estate.
Rightsizing, workload tuning, architecture efficiency reviews, and quick-win remediation.
Showback, unit economics dashboards, anomaly detection, and engineering team accountability.
Commitment strategy designed against an optimised workload — with forecast confidence ranges.
Cost allocation models, tagging governance, and engineering team unit cost dashboards.
Automated rightsizing recommendations, idle resource detection, and workload efficiency reviews.
Reserved instance, Savings Plans and CUD strategy designed after workload optimisation — not before.
Cost-per-transaction, cost-per-user, and product-level P&L visibility for engineering and product teams.
Spend anomaly alerting, budget guardrails, and automated cost governance policy-as-code.
Workload efficiency improvements that reduce both cost and carbon footprint simultaneously.
BNS is technology-neutral by policy — our engineers work across the open-source and commercial stacks that enterprise platforms actually run on.
BNS FinOps programs optimise the workload before recommending a commitment purchase — because committing to an inefficient workload locks in the waste. Clients see 47% average spend reduction in the first program year, with the majority of savings from workload efficiency rather than discount strategy.
Unit cost dashboards, showback models, and cost-per-transaction visibility give engineering teams the information to make good cost decisions at design time — before the invoice. 100% of engineering teams have unit cost visibility within 60 days of program start.
Reserved instances, Savings Plans, and CUDs are a powerful lever when applied to a rightsized, well-understood workload — and a risk when applied to a workload that is about to change. BNS commitment strategy is sequenced after optimisation and built on forecast models with explicit confidence ranges.
Policy-as-code, budget guardrails, and anomaly detection give finance and engineering a shared view of spend without requiring a manual approval on every infrastructure change. The governance is in the pipeline — not in a weekly cost review meeting that engineering attends under protest.
FinOps programs at BNS pay back the investment inside three months on average — because the savings from rightsizing, idle resource removal, and commitment strategy are immediate and measurable. The business case writes itself when the first monthly bill arrives.
BNS FinOps programs are run by cloud engineers, not procurement consultants. The recommendations are grounded in the workload — architecture patterns, deployment cadence, and the unit economics that engineering teams can actually control.
AWS Advanced Consulting Partner, Microsoft Solutions Partner, Google Cloud Partner — and active FinOps Certified Practitioner teams. Multi-cloud FinOps with a single program governance model, not three separate cost reviews.
Workload efficiency improvements that reduce cloud spend also reduce the energy consumption and carbon footprint of the cloud estate. BNS FinOps programs report on both — because the CFO and the sustainability officer are often asking the same question.
Cloud billing and cost allocation data contains information about system topology, usage patterns, and business volumes. BNS handles this data under ISO 27001 and SOC 2 Type II controls — with access scoped, logged, and revoked on engagement close.
Measurable outcomes from the platforms our engineers shipped this year.
Cloud spend reductions are not a negotiation. They are the natural output of an operating model that makes the right thing the easy thing.
Boards over-index on burn-rate and under-index on delivery signal. The five charts that change the room.
Why fixed-price is rarely the right answer, outcome-based contracts are harder than you think, and the model that wins is neither.
Typically within 30 days of the rightsizing and idle-resource phase. The first bill reduction is visible inside the first program month.
Yes — BNS FinOps programs cover AWS, Azure, GCP and on-premises FinOps models in a single governance framework.
Landing zones, platform teams and SRE practices that make cloud a business advantage.
Custom business applications engineered for the load, risk and scale of your organisation.
Trusted data platforms and production AI that moves the P&L — not the lab.
Share your brief and we’ll assemble two senior finops practitioners for a 90-minute working session — no deck, no sales.