Summary
A multinational food and beverage group was mid-way through a major cloud migration and modernisation programme. Azure costs were rising fast, and the risk of spend drifting out of control was real. The CTO wasn't looking for another FinOps tool priced as a percentage of cloud spend — he called that model a tariff. He wanted measurable outcomes.
SAMexpert was engaged to build an operating model around execution, not recommendations. Over nine months, that model delivered over $899,000 in realised value against $2.53M in actual Azure spend. In the final three months alone, the client realised over $523,000 — equivalent to 40% of what they would have spent without the engagement.
Trust was built methodically. When it was, previously untouchable workloads opened up — and the savings accelerated.
Anonymity guarantee: To protect our client and their business, certain details have been anonymised. Everything else is a true story.
The challenge: cloud costs rising during transformation
The client was mid-migration — moving workloads to Azure at pace while trying to keep costs rational. In that environment, optimisation can't be a one-time exercise; it has to be a continuous discipline. The problem is that most tools surface recommendations but can't drive decisions through an organisation.
The CTO's position was clear from the outset: the organisation would not engage on a FinOps model that charged as a percentage of cloud usage — treating cost optimisation as a tariff on top of spend. The client wanted an engagement accountable for actual outcomes, tracked through their own accounting methodology.
What we built: cadence, clarity, and accountability
SAMexpert's operating model was straightforward in design and disciplined in execution. Weekly status calls. A shared initiative register. Meeting minutes that made every decision traceable and every next action explicit.
Hard savings were defined tightly: using cheaper Azure SKUs, using less of a resource (rightsizing), or using fewer resources (cleanup). This kept the engagement anchored to auditable cost outcomes rather than projected savings that never materialise.
The turning point: from variance to trust
Commitment-based discounts — Azure Reservations — are often where cloud optimisation stalls. Utilisation shifts, workloads move, and finance teams see variance in the numbers and call it risk. Early in the engagement, the client raised exactly that concern.
By month eight, that position had changed. The CTO's assessment shifted from cautious evaluation to explicit confidence: the team was trusted to make and implement reservation decisions without per-decision sign-off.
That trust unlocked a different pace of execution. Decisions that previously took weeks to work through the organisation started moving in days.
The big lever: backup storage tiering
The largest single optimisation initiative was a change that most organisations postpone — backup storage was running on Azure Premium tiers when Standard was appropriate for the use case.
SAMexpert implemented the shift in month eight, moving backup storage accounts from Premium to Standard tiers. The initiative delivered a run-rate saving of over $1,000 per day — the single largest cost lever in the engagement.
Backup storage rarely breaks anything, so it rarely gets optimised. But at enterprise scale, the cost accumulation is significant and the change, executed carefully, is low risk. Trust built over months meant this was identified, validated, and implemented rather than sitting in a backlog.
A rapport-dependent win: enterprise application storage
Early in the engagement, a major enterprise application environment was off limits — a common boundary driven by performance sensitivity and a well-founded organisational wariness about anything that could affect uptime.
But as the working relationship deepened, specific issues became visible. Upgrade and test landscapes that were mostly idle were still carrying expensive premium disk footprints. When that was surfaced, the response was direct: the cost was unnecessary and the team hadn't previously looked at it.
What followed wasn't reckless cost cutting. It was precise: optimise only the environments where it's safe, and apply a clear technical lens to identify where premium spend couldn't be justified by the workload's actual IOPS requirements.
The significance wasn't the absolute saving — it was what it represented. A previously protected area of infrastructure became accessible because the track record justified broader engagement.
The outcome
Engagement period
9 months
Total value realised
$899,000+
Total actual Azure spend
$2.53M
Savings share (full period)
~26% of would-have-spent
Final 3-month value realised
$523,000+
Final 3-month savings share
~40% of would-have-spent
Largest single initiative
Backup storage tiering — over $1,000/day run-rate
Reservations outcome
Scaled from cautious to fully trusted operating model
Enterprise app storage outcome
Optimised across upgrade and test landscapes
Model
Outcome-based, no % of spend fees
What this means for cloud-heavy organisations
Most organisations already have data, tooling, and a list of recommendations. The constraint is execution: getting the right decisions made, by the right people, with the right evidence, at the right pace.
What changed here wasn't the tooling. It was the operating rhythm. Weekly accountability, traceable decisions, and a trust relationship that made previously protected workloads accessible — not by lowering standards, but by building confidence through track record.
When FinOps becomes executable, the savings don't just appear once. They compound.
If you need help with Microsoft or Azure licensing and cost optimisation, get in touch. SAMexpert doesn't sell Microsoft licences or cloud services, so our advice is independent.