Every AI agent consumes tokens, every token costs money, every cost needs attribution. MeetLoyd gives finance teams budget controls, cost optimization, carbon tracking, and SOX compliance for AI operations — before the invoice arrives.
Departments are buying AI tools on corporate cards. Shadow AI means shadow costs. You can't forecast what you can't see.
Which department spent how much on which AI model for which business outcome? Without attribution, AI is overhead. With it, AI is investment.
EU CSRD requires carbon footprint reporting. Every LLM call has a carbon cost. Are you tracking it? Can you report it?
"We already track cloud costs with FinOps tools"
Cloud FinOps tracks infrastructure spend after the fact. MeetLoyd AI FinOps governs spend before it happens — budget gates block LLM calls that would exceed limits. Preventive, not reactive. And we export to Apptio/CloudHealth/Vantage via standard formats.
Preventive budget gates. FinOps export."What's the ROI?"
Every invoice is an ROI report. The FinOps cockpit shows cost per business outcome — not just cost per token, but cost per resolved ticket, cost per qualified lead, cost per compliance check. Unit economics built in.
Unit economics. Cost per business outcome."How do we handle SOX for AI decisions?"
11 SOX controls mapped to COSO 2013 categories. Material decision flagging catches high-cost LLM calls and financial keyword patterns. Four-eyes enforcement requires dual approval for any AI action affecting financial data. SOX compliance scoring gives you a 0–100 readiness metric.
11 SOX controls. COSO 2013 mapping. Four-eyes."What about carbon reporting?"
GHG Protocol scope tracking with per-provider carbon intensity factors. CSRD-ready metrics. Carbon budgets per project with enforcement (like cost budgets). Green routing recommendations suggest lower-emission providers for non-critical tasks. Scope 1/2/3 categorization.
GHG Protocol. CSRD metrics. Green routing.Budget alerts with threshold notifications. Cost optimization recommendations (cheaper models for low-risk tasks, idle agent detection). Spend forecasting from historical patterns. Unit economics: cost per business outcome. Department-level showback reports.
Learn more →Per-provider carbon intensity tracking (gCO2/1K tokens). Carbon budgets per project with enforcement. GHG Protocol scope categorization. CSRD-ready metrics. Reduction target tracking. Green routing: prefer lower-emission providers when quality permits.
Learn more →COSO 2013 framework mapping across all 5 categories. Material decision flagging for AI actions affecting financials. Four-eyes governance enforcement. Financial monitoring dashboard: total LLM spend, daily average, highest single call, over-budget agents. Compliance scoring with prioritized gap analysis.
Learn more →Budget controls. Carbon tracking. SOX compliance. Every AI dollar accounted for.