FinOps Consultancy · FinOps Platform
We trace what's driving your bill back to the architecture and code behind it, then turn the findings into prioritised engineering tickets with a £ value attached.
4.8 (6) £4m+ realised savings 
A five-minute change to the backup strategy removed 80% of the backup costs on an environment considered optimised.
Read the case studyTrusted by teams turning cloud inefficiency into growth budget
We agree scope, then start with read-only on billing exports and CloudWatch metrics.
Deeper access is per finding, explicit allowlist, your security team approves first.
We go past purchasing and rightsizing to the architecture, configuration and code decisions driving spend.
| Resource | Action | Cost | Est. saving | Effort |
|---|---|---|---|---|
| cosmos-prod-01 | Reduce cross-partition queries | £100,000 | £90,000 | High |
| vm-cluster | Reduce node count 4 to 2 | £4,000 | £2,000 | Low |
| storage-prod-01 | Implement archiving policy | £1,000 | £900 | Medium |
Example case
£1m One Azure query driving the overspend 20% quick-wins generally ship in the first working session. You are billed only on what lands on your bill, verified by your finance team.
Example case
96% Lambda memory fix and redesign Monthly review of spend by team and service, plus automated anomaly alerts, so savings do not erode and the next budget conversation holds no surprises.
| Subscription | Service | Cost | Prev cost | Change |
|---|---|---|---|---|
| Staging | AWS RDS | £4,000 | £3,000 | £1,000 (+33%) |
| Dev | Azure Event Hubs | £1,000 | £10 | £990 (+9,900%) |
| Staging | AWS EC2 | £4,200 | £4,000 | £200 (+5%) |
Example case
$7,500/month Creeping spend caught automatically When the CFO or the board asks why cloud costs rose, you have the answer in minutes, not after days of investigation. Every major cost movement is attributed to a team, a service, and a decision.
Engineering leaders are rarely judged on having the lowest cloud bill. They're judged on whether they can explain, forecast and control it. The review recovers the overspend; the monthly cadence and guardrails keep the forecast one you can defend.
Kori shows your engineers exactly which services, regions, and accounts are draining budget, without leaving their normal workflow. Idle nodes, oversized clusters, and runaway batch jobs all surface in plain language.
Architectural inefficiencies that standard FinOps tools can't see get reviewed alongside your infra changes: a chatty inner loop, a missing cache, a misconfigured replica. The next deploy is the cheaper one.
A single view of every account and environment. Scoped read-only role, no broad policies, no production access required. The review covers the standard ground (rightsizing, idle capacity, redundancy, commitment gaps), then goes one layer down into resource-level CUR data to surface the architectural patterns driving the bill. Findings surface the pattern. Your architects keep the call. Workload context lives with your team, and the recommendation respects that.
When deeper changes are needed, we ship them alongside your engineers. Your team reviews and merges. We don't deploy. Each finding comes with the architectural rationale, the verification approach against your bill, and the rollback path. Savings hold without your SLOs moving.
Costs are broken down to team, service, and customer level so you can answer 'how much does this customer cost us?' in seconds, not weeks. Anomalies get caught before they hit next month's invoice.
When you're underwriting a new product or a price change, you have a defensible cost-per-unit baseline, not a spreadsheet of best guesses pulled together the night before.
£4m+
Saved across client environments
15+
Cloud environments optimised
20–40%
Optimisation surfaced in the first week
A 30-minute call. We'll look at your setup, share what we typically find in environments like yours, and tell you honestly whether we can help. No pitch deck. Whether you want a hands-on engagement or just Kori watching your account, it starts here.
Book a discovery call
