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    Reign OpsCloud cost

    Make cloud and AI spend visible, owned and managed as an operated practice.

    iTmethods operates the FinOps work: assessing the estate, finding avoidable cost, planning commitments, implementing approved changes and measuring the result.

    AWS Advanced Tier Services Partner Validated Managed Service Provider
    One event, two questions one record
    The thing that happened One recorded call identity · policy · model tokens · time · workload written once, at the boundary Finance what did this cost, and whose budget is it Governance who made it, under what policy Built as two systems a billing export an audit log separate records A billing export answers the finance question; an audit log answers the control question. A joined record answers both for the same event.
    FinanceGovernance
    The questionwhat did this cost, and whose budget is itwho made it, under what policy
    One recorded calltokens · time · workloadidentity · policy · model
    Built as two systemsa billing exportan audit log

    Written once, at the boundary.

    A billing export answers the finance question; an audit log answers the control question. A joined record answers both for the same event.

    Finance can explain the cost of each model call routed through Reign Gateway, while governance can trace the same call to its identity and policy.
    The cost control challenge

    Cloud and AI spend grows across accounts, teams and model providers.

    Enterprises with growing cloud and AI spend see workloads keep moving while the commitment position stands still. Some spend may be avoidable, and each commitment choice carries a trade-off. The work starts with an assessment of the estate.

    01Commitments fall out of step
    A commitment set against a forecast can become too large when workloads shrink, move or are redesigned.
    02On-demand use adds cost
    On-demand pricing keeps flexibility, but costs more. Across a changing estate, unused commitments and avoidable on-demand spend can build up in different accounts.
    03Cloud waste is well documented
    Flexera’s 2026 State of the Cloud Report puts self-reported wasted IaaS and PaaS spend at 29 percent, the first increase in five years.

    Published 18 March 2026 from 753 respondents surveyed in winter 2025. Flexera attributes the rise to cost complexity from AI and new services. Your own number is unknown until somebody looks, and it is usually distributed differently from the average.

    04Model spend is the newer version
    Token consumption arrives faster than cloud consumption did, from more teams, with fewer people watching it. 98 percent of FinOps practices now manage AI spend, against 63 percent a year earlier and 31 percent the year before that.

    That is the FinOps Foundation’s State of FinOps 2026, published 19 February 2026 from 1,192 respondents representing more than $83bn of annual cloud spend, and it names AI cost management the single skillset teams most need to add. Unlike a database, the thing spending the money is making its own decisions about when to.

    Our approach

    Find where the spend is coming from, then decide what to change.

    iTmethods runs the assessment, maintains the approved optimization and commitment plan, implements the changes and reports the result.

    A useful estimate starts with the estate.

    A saving figure quoted before the estate has been examined is a sales tactic rather than an estimate. The assessment reviews billing data, account structure, tags, model usage, commitments and ownership, and expected results are established from the customer’s baseline after the estate is assessed. The assessment →

    Attribution comes before action.

    Material spend is connected to accounts, environments, teams and workloads where the data permits. Where ownership is missing, the assessment says so.

    Approved changes are implemented and measured.

    iTmethods implements approved changes under the agreed scope or gives the customer a named-owner action plan, then reports actual usage and cost against the agreed baseline.

    The customer approves commitment changes.

    iTmethods operates the agreed position. The customer sets the budget rules and risk appetite, decides which commitment changes to make and can see what is committed, what is covered and what it costs.

    FinOps, operated

    Cloud and AI cost as an operated practice.

    Visibility, right-sizing and commitment strategy, run as an operated practice rather than handed to you as a tool and a login.

    WhatHow it is run
    VisibilityUnified spend across the estate, attributed to teams, accounts and workloads where the data permits. Where ownership is unclear, finding it is part of the work.
    Right-sizingIdle resources and oversized instances found and fixed as a continuing practice rather than an annual cleanup project somebody volunteers for.
    Commitment strategyBudget rules and the commitment position run by an operator rather than maintained in a spreadsheet by whoever last had time.
    The insurance layerDelivered with Archera, which supplies its guaranteed-commitment product under Archera’s terms. iTmethods assesses suitability against the customer’s actual usage and operates the agreed commitment position. About the partnership →
    A shared operating view

    Connect spend to the work that drives it.

    Reign Ops brings cloud costs and model consumption into one operating view; for AI workloads, records can show the calling identity, model used and cost, helping teams investigate consumption and apply budgets and policy.

    Attribution and evidence, not a projection. Nothing here forecasts a saving before the estate has been looked at. Any savings estimate follows the assessment and uses the customer’s agreed baseline. Beyond SOC 2 Type II for Reign Ops, no other certification or accreditation is claimed. The assessment → · How the boundary works → · Regulatory alignment →
    Cost control

    We manage the work. You keep the decisions.

    The operating plan defines what iTmethods can change and what needs your approval.

    WhoWhat they do
    iTmethodsAssess usage and cost, maintain visibility and attribution, recommend actions, and implement approved changes.
    Your teamsSet budgets and risk tolerance, provide workload context, and approve changes to capacity or commitments.

    FAQ

    How does Archera fit?
    Archera provides its guaranteed-commitment product under its own terms. iTmethods evaluates it against your usage and includes it in the operating plan when it fits. About Archera →
    What is required to start?
    Start with the estate as it stands. The assessment works across your current accounts and architecture; any later change is evidence-based and approved by you.
    How are savings estimated?
    A saving figure quoted before the estate has been examined is a sales tactic rather than an estimate. The assessment identifies savings opportunities from actual usage, attribution and changes your teams would approve, and that evidence becomes the basis for any estimate. The assessment can also conclude that your current position is already reasonable. The assessment →
    Do you use our figures or yours?
    Yours. The two external figures on this page are Flexera’s cloud-waste number and the FinOps Foundation’s survey of how many practices now manage AI spend, both cited as theirs and both dated. The assessment establishes the saving estimate for your estate.
    Which deployment options are available?
    Choose a dedicated single-tenant instance operated by iTmethods or deployed in your AWS or Azure account. Air-gapped and sovereign deployment are supported; Google Cloud is planned for 2027. Deployment options →
    How is pricing set?
    Pricing is set in the scoping conversation, against the estate and the operating work included. This site publishes no price list and no tiers.
    Next step

    Start with the bills and the ownership map.

    Bring the current cloud and model spend, account structure, existing commitments and the teams that own the workloads. Use the conversation to discuss attribution, possible changes and where better data may be needed.