FinOps

Cost is not just expense. It's a lever.

Azure cost assessments, optimisation, anomaly investigation, commitment analysis, executive reporting and AI workload cost optimisation — or FinOps as a managed service.

The challenge

Cloud and AI spend grows faster than anyone can explain. Without allocation, anomaly detection and commitment strategy, savings arrive late and AI costs stay invisible.

What you get

  • Spend allocated to owners
  • Anomalies caught early
  • Commitments matched to real usage
  • AI costs visible per application or agent

Reference topology

FinOps data and action loop

Billing exports from Azure, AWS and Google Cloud, AI token usage and ownership tags are normalised into a FOCUS dataset in a FinOps hub. Anomaly alerts, budgets, optimisation recommendations and showback reach engineering teams and finance, and guardrail policies prevent waste from returning.

FinOps data and action loopBilling exports from Azure, AWS and Google Cloud, AI token usage and ownership tags are normalised into a FOCUS dataset in a FinOps hub. Anomaly alerts, budgets, optimisation recommendations and showback reach engineering teams and finance, and guardrail policies prevent waste from returning.FINOPS HUBAzure billingcost exportsAWS · GCP billingCUR · BigQueryAI token usageper model · appTags & ownersallocationFOCUS datasetnormalised costsCost analyticsFabric · Power BIAnomaly alertsdaily detectionBudgetsforecastsOptimisationrightsize · commitShowbackteam dashboardsGuardrailspolicy · SKU limitsEngineering teamsact on findingsFinancechargeback
Data / request in flightAgent / workload runningIllustrative reference topology · FOCUS = FinOps Open Cost and Usage Specification

What we deliver

  • 01Azure cost assessments
  • 02Cloud cost optimisation
  • 03Cost anomaly investigation
  • 04Commitment and reservation analysis
  • 05Executive cost reporting
  • 06AI workload cost optimisation
  • 07Managed FinOps

Architecture layers

Inform
  • Tagging and allocation
  • Dashboards
  • Forecasts
Optimise
  • Right-sizing
  • Commitments
  • Licence rationalisation
Operate
  • Budgets and guardrails
  • Anomaly alerts
  • Monthly reviews
FinOps across consult → deliver → manage

Technologies

  • Azure Cost Management
  • AWS and Google Cloud billing data

How we work

  1. Stage 1

    Baseline

    Spend baseline and cost-leakage analysis.

  2. Stage 2

    Quick wins

    Idle and oversized resources addressed.

  3. Stage 3

    Commit

    Reservation and savings-plan strategy.

  4. Stage 4

    Run

    Ongoing FinOps cadence or managed service.

Security and governance, built in

  • Budget guardrails per scope
  • Approval paths for commitments
  • Cost reviewed alongside value

Ways to engage

Assessment
A fixed-scope review with findings, priorities and a costed roadmap.
Pilot
A time-boxed build with agreed success criteria and a go/no-go decision.
Delivery
Full implementation by a Techcerv team working alongside yours.
Managed
Ongoing operation and improvement under a contracted service scope.

Request a FinOps assessment

Tell us about your situation. You'll hear from a consultant — not an automated sequence.

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Cloud engineering and optimisation enquiry

Migrations, landing zones, FinOps, security and modernisation across Azure, AWS and Google Cloud.

Platforms
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