AI Cost Governance & FinOps

    Govern what people and AI cost, on one ledger

    Put a cost governance layer over your AI and your people. Attribute every token and every hour to the project and decision that drove it, set budgets that warn before they break, and see total cost of work across human labor and AI on a single ledger.

    Per-Project People + AI CostReal-Time Budget EnforcementBy Model Spend Attribution

    Challenges We Solve

    Governance gaps that structured controls and audit trails eliminate.

    AI Spend With No Owner

    Provider invoices arrive as one lump sum with no idea which team, agent, or project drove the cost. Attribute every token by provider, model, agent, user, and project so spend always has an owner.

    Budgets You Find Out About Too Late

    By the time finance sees the overage, the money is gone. Set budgets that warn at thresholds, throttle to lower-cost models, then block before spend runs away.

    People Cost And AI Cost In Separate Worlds

    Labor lives in the HRIS and AI lives on a provider bill, so no one can answer what a project actually costs. Combine human labor cost and AI spend per project on one ledger.

    Shadow AI And Silent Overruns

    Ungoverned model calls and runaway agents surface only in next month's bill. Detect anomalous per-team and per-feature spend and reconcile billed cost against what was actually governed.

    Use Cases

    Real governance scenarios powered by DecisionLedger.

    CFO / VP Finance

    Tracks total cost of work per project by combining HRIS labor cost with attributed AI spend, and sees cost per decision and AI spend as a percent of revenue in one place.

    Defensible unit economics across people and AI

    FinOps / Platform Lead

    Sets budgets per team and agent with threshold warnings and hard blocks, and uses anomaly detection to catch shadow AI spend before it hits the invoice.

    Stopped runaway AI spend before the bill arrived

    Head of AI / Engineering

    Reviews per-model and per-agent cost against outcome effectiveness to retire low-value spend and route work to the most cost-effective model that meets the quality bar.

    Lower cost per decision with quality held constant

    Measurable Impact

    Based on platform benchmarks across early adopters.

    AI Spend Visibility

    One lump invoiceAttributed by model and project
    Every cost has an owner

    Budget Control

    Found out after the factWarn, throttle, then block
    Caught before overrun

    People + AI Cost

    Separate systemsOne project ledger
    True cost of work

    Shadow Spend

    Discovered in the billDetected continuously
    Recovered early
    Platform Features

    One Ledger for the Cost of Work

    FinOps and cost governance for AI-assisted work, where human labor cost and AI spend finally live in the same place.

    Cost Attribution

    Meter AI spend by provider, model, agent, user, and project, and roll labor cost in from your HRIS, so every cost has an owner.

    Budget Enforcement

    Budgets that warn at thresholds, throttle to lower-cost models, then block before spend runs away, with separate labor and AI envelopes.

    Unit Economics

    Cost per decision, AI spend as a percent of revenue, and total cost of work per project, ready for finance and the board.

    Connects With

    Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics

    Salesforce logoSalesforce
    HubSpot logoHubSpot
    Stripe logoStripe
    Shopify logoShopify
    Google Analytics 4 logoGoogle Analytics 4
    Workday logoWorkday
    QuickBooks logoQuickBooks
    Snowflake logoSnowflake
    Slack logoSlack
    Zendesk logoZendesk
    GitHub logoGitHub
    Meta Ads logoMeta Ads
    Mailchimp logoMailchimp
    NetSuite logoNetSuite
    Jira logoJira
    Power BI logoPower BI
    Salesforce logoSalesforce
    HubSpot logoHubSpot
    Stripe logoStripe
    Shopify logoShopify
    Google Analytics 4 logoGoogle Analytics 4
    Workday logoWorkday
    QuickBooks logoQuickBooks
    Snowflake logoSnowflake
    Slack logoSlack
    Zendesk logoZendesk
    GitHub logoGitHub
    Meta Ads logoMeta Ads
    Mailchimp logoMailchimp
    NetSuite logoNetSuite
    Jira logoJira
    Power BI logoPower BI

    Featured Models

    Pre-built decision models ready to run with your data.

    Analytics Cost Optimizer

    Attributes compute and storage spend to products, teams, and workloads across the data stack. Identifies biggest cost drivers and recommends query tuning, schedule changes, caching, and tiering.

    Cost-Benefit NPV

    Budget Variance Attribution

    Budget variance attribution analysis

    Cost-Benefit NPV

    People Cost

    Projects total compensation and benefit costs across the workforce. Calculates fully-loaded employee costs, applies planned raises by department, prorates new hires, and applies inflation to produce monthly and annual cost forecasts with department-level breakdowns.

    Cost-Benefit NPV

    Variance Bridge

    Decomposes revenue and EBITDA variances into price, volume, mix, and FX effects with waterfall chart data generation, cost bridge for EBITDA walk, custom bridge items, and segment-level detail for board-ready variance explanations.

    Cost-Benefit NPV

    AI Cost Attribution Anomaly

    Detects anomalous per-team or per-feature LLM spend.

    Anomaly Detection

    Human-in-the-Loop Efficacy

    Measures whether HITL checkpoints actually change outcomes versus rubber-stamping.

    Bayesian Inference

    How It Works

    Three steps to structured, auditable decisions.

    1

    Attribute Every Cost

    Meter AI spend by provider, model, agent, user, and project, and pull labor cost from your HRIS. Every token and every hour maps to the project and decision that drove it.

    2

    Budget & Enforce

    Set budgets per team, project, or agent with separate labor and AI envelopes. Spend that crosses a threshold warns, throttles to a lower-cost model, or is blocked before it runs away.

    3

    Optimize & Report

    Surface cost per decision, AI spend as a percent of revenue, and total cost of work across people and AI. Detect anomalies, recover shadow spend, and report unit economics to finance and the board.

    Replace Your Stack

    When AI spend spikes, can you say which team, model, and project caused it, and what it cost you per decision, or do you wait for the invoice?

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    Provider billing consoles

    One lump-sum invoice with no team, project, or decision attribution

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    Spreadsheet cost trackers

    Manual, stale, and disconnected from labor cost in the HRIS

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    Generic cloud FinOps tools

    Built for infrastructure, blind to LLM tokens, agents, and decisions

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    After-the-fact budget reviews

    Overruns discovered once the money is already spent

    All in one governed platform

    Start with AI Cost Governance & FinOps today

    See how DecisionLedger AI transforms your decision-making.