Digital Engineering

Cloud Infra & FinOps

Cost discipline, engineered into the platform.

Unit economics, observability into spend, and continuous optimization. FinOps as a posture — not a quarterly correction exercise.

The case

FinOps fails
as a quarterly exercise.

Most cloud cost programmes show up after the bill. There's a dashboard, a one-time rightsizing pass, and a small team that reports to a steering committee that meets monthly. Six months in, the savings have evaporated and the platform looks the same as before.

We engineer FinOps as a platform property. Tagging is enforced at provisioning. Unit economics are wired to product KPIs. Observability into spend is in the same place as observability into reliability. The discipline is the platform's, not a quarterly scramble's.

What we build

Cost as a
first-class platform concern.

01

Spend observability

Per-product, per-customer, per-workload cost visibility engineered into the platform — not retrofitted onto a billing export.

02

Continuous optimization

Right-sizing, scheduling, commit programmes, and architectural rework with measured savings — not theoretical ones.

03

Unit economics

Cost per transaction, per customer, per request — wired to product KPIs and finance models the CFO actually trusts.

04

Capacity & resilience

Engineered capacity planning with multi-region, DR, and chaos-tested resilience — not a budget line that nobody validates.

05

Showback & chargeback

Tagging policy, allocation models, and the operating-model conversation that makes business units accountable for their own spend.

06

Cloud-native rework

The hard architectural work — moving from VMs to managed services, batch to streaming where it pays — that makes savings durable.

Outcomes we engineer for

What disciplined
FinOps pays back.

Numbers below are typical of what we measure on the first 12 months post-rollout. They depend on the starting estate.

31%

Cost reduction

Typical first-year cost reduction across a multi-cloud insurance estate after architectural rework + FinOps tuning.

Per workload

Unit economics

Every workload knows its own cost-per-transaction — and product teams can make tradeoffs in real time.

11 months

DR programme payback

Median time-to-payback on engineered DR programmes when paired with FinOps tuning across the same estate.

Daily

Cost telemetry

Median freshness of cost telemetry — actionable for engineers, not just for monthly invoice review.

Where this applies

Anywhere the cloud
bill has gotten serious.

Past $5–10M annual cloud spend, the math on engineered FinOps tips heavily — independent of vertical.

  • Banking & Capital Markets
  • Insurance & Reinsurance
  • Healthcare Providers & Payers
  • Pharma & Life Sciences
  • Telecom & Media
  • Manufacturing
  • Energy & Utilities
  • Retail
  • Hospitality & Travel
  • Logistics & Mobility
  • Public Sector
  • B2B SaaS
  • Higher Education
  • Defense & Aerospace

Common questions

What teams ask
before kickoff.

Will this require a code freeze?

No. FinOps work is engineered to land alongside delivery — the rework happens incrementally, behind feature flags and rollouts.

How do you avoid one-time savings that evaporate?

By engineering FinOps into the platform — tagging policy, observability, and unit economics — not by running a one-time rightsizing project.

What about commit / reservation programmes?

We use them where the math works, but they're rarely the highest-leverage starting point. Architectural rework usually pays back faster, with no commercial lock-in.

Start the conversation

From a bill that surprises
to a platform that's accountable.

Tell us where your spend is opaque or surprising. We'll diagnose, propose the rework that pays back fastest, and engineer the discipline into the platform.