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.
Governance gaps that structured controls and audit trails eliminate.
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.
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.
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.
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.
Real governance scenarios powered by DecisionLedger.
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
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
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
Based on platform benchmarks across early adopters.
AI Spend Visibility
Budget Control
People + AI Cost
Shadow Spend
FinOps and cost governance for AI-assisted work, where human labor cost and AI spend finally live in the same place.
Meter AI spend by provider, model, agent, user, and project, and roll labor cost in from your HRIS, so every cost has an owner.
Budgets that warn at thresholds, throttle to lower-cost models, then block before spend runs away, with separate labor and AI envelopes.
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
Workday
Slack
NetSuite
Power BI
Salesforce
Workday
Slack
NetSuite
Power BIPre-built decision models ready to run with your data.
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.
Budget variance attribution analysis
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.
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.
Detects anomalous per-team or per-feature LLM spend.
Measures whether HITL checkpoints actually change outcomes versus rubber-stamping.
Three steps to structured, auditable decisions.
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.
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.
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.
Provider billing consoles
One lump-sum invoice with no team, project, or decision attribution
Spreadsheet cost trackers
Manual, stale, and disconnected from labor cost in the HRIS
Generic cloud FinOps tools
Built for infrastructure, blind to LLM tokens, agents, and decisions
After-the-fact budget reviews
Overruns discovered once the money is already spent