Intelligent Operations · FinOps & Optimization
Know what you are spending while you can still change it.
Continuous visibility and AI-informed optimization across the whole technology estate — cloud, SaaS and licences, data centre, and support contracts — run as a standing discipline rather than an annual true-up.
The optimization gap
Spend gets reviewed once a year. It changes every day.
Cloud bills, SaaS seat counts, and support renewals move constantly, but most organizations look at them on a budget cycle. By the time a variance is spotted, the money is gone and so is the context that would explain it.
Cost as a finance exercise
- VisibilityAn invoice total with no owner behind the line items
- WasteIdle and orphaned resources found at the next audit, if at all
- CommitmentsReservations and licences renewed on last year’s shape
- AccountabilityNobody outside finance sees what their own team consumes
Spend that only ever gets explained after the fact
Cost as an operating discipline
- VisibilityEvery line allocated to an owner, a service, and an environment
- WasteIdle and orphaned resources surfaced weekly with an owner attached
- CommitmentsCoverage tracked against real utilization and forecast demand
- AccountabilityTeams see their own consumption before the invoice arrives
Spend that is understood while you can still change it
How the service runs
Inform, optimize, operate.
The three FinOps phases, run as a continuous loop rather than a project with an end date.
Phase 01
Inform
Cost and usage data is ingested from every cloud account, SaaS console, and contract, then normalized and allocated to owners, services, and environments. Everyone can see their own consumption.
Phase 02
Optimize
Right-sizing, idle elimination, commitment coverage, and licence rationalization are identified against real utilization — each with an owner, an estimated impact, and a safe change window.
Phase 03
Operate
Recommendations move through your change process, savings are verified against the next invoice, and budgets and forecasts are updated. Then the loop runs again.
Service scope
What the service covers.
Four disciplines, delivered as a standing service with a monthly cadence.
Continuous Cost Visibility
Cost and usage normalized across every provider and allocated to owners, so a spend conversation starts from agreed numbers rather than a spreadsheet argument.
AI-Driven Right-Sizing
Utilization and performance signal turned into right-sizing recommendations that account for how workloads actually behave, not just their configured size.
Budget & Forecast Management
Budgets tracked against live consumption with variance explained as it emerges, and forecasts rebuilt from observed demand rather than last year plus a percentage.
Chargeback & Showback
Consumption reported back to the teams that caused it, in their own terms, with chargeback models built to your finance structure when you want them.
Inside the service
Three things that have to be true before savings stick.
Most optimization work fails on one of these rather than on the recommendations themselves.
Spend you can put a name against
Unallocated spend is the reason cost conversations stall. Allocation coverage is treated as a metric in its own right and driven up deliberately, month over month.
- Tagging and account hygiene tracked as a coverage percentage
- Shared and untaggable costs split by an agreed, documented rule
- Every service and business unit able to see its own line
Illustrative coverage view, not a client result.
Reservations sized for next year, not last
Savings plans, reserved instances, and SaaS seat counts are tracked against actual utilization and forecast demand, so coverage matches the shape the estate is heading towards.
- Coverage and utilization tracked per commitment
- Expiries flagged before they auto-renew on old assumptions
- Seat counts reconciled against actual sign-in activity
Teams that can see their own spend change it
Showback puts consumption in front of the team that caused it, monthly and in language they recognise. Chargeback goes further and puts it on their budget.
- Showback reporting per team, service, and environment
- Chargeback models built to your finance structure
- Variance explained against forecast rather than simply reported
Illustrative report view. Structure is agreed with your finance team.
Coverage
The whole technology spend, not just the cloud bill.
Cloud is usually the loudest line. It is rarely the only one worth optimizing.
What runs it
A practice, not a product.
There is no FinOps platform to buy here. The service is practitioners working from your own billing data, with utilization signal from HawkAI where it changes the answer.
RTS FinOps Practitioners
People who own the cadence, the recommendations, and the monthly review — and who can defend every number back to the billing record it came from.
Your Own Billing Data
Cost and usage reports, cost management exports, billing extracts, and SaaS admin consoles. We read your sources of truth rather than asking you to adopt ours.
Juno HawkAI
Supplies the utilization and performance signal that turns a cost line into a safe right-sizing decision, so recommendations reflect how workloads actually behave.
Cloud cost optimization is already included in AI-Powered Cloud Operations as part of running the estate. This service covers the whole technology spend, including SaaS, licences, and contracts.
What changes when cost becomes an operating discipline.
The outcomes our FinOps clients hold us to, measured against their own baseline at onboarding.
Run-rate across the technology estate
Spend traced to an owner and a service
Budgets and forecasts that hold
Optimization instead of an annual true-up
Start with a look at where the money actually goes.
Book a working session and we will walk your current cost and usage data with you — allocation coverage, commitment position, and the waste that is already visible in it.