Meridian consolidates AI-related costs across model providers, gateways, cloud platforms, and internal tools to produce budgets, alerts, chargeback files, cost-per-outcome analyses, and executive-ready reporting.

It serves as a centralized, auditable record for AI-related spending, addressing fragmented costs and the lack of payroll-like tracking for AI agents.

Organizations can begin with Onaro’s Agent Spend Assessment on the company’s website, with ongoing opportunities for budgeting, policy actions, and chargeback to quantify AI agent business value.

Meridian is available as a managed service or private deployment through Onaro, with onboarding, support, and custom integrations, and a founding cohort of twenty customers at preferred, rate-locked pricing.

For corporate clients, Meridian offers managed service or private deployment, inviting a founding cohort of twenty customers at favorable, rate-locked terms.

The article provides Onaro contact details and notes Meridian as the flagship product focused on AI labor cost and return stewardship.

Onaro offers a free two-week read-only Agent Spend Assessment that connects to AI and billing sources to generate an Agent Spend Report and a CFO-readout without requiring production write access.

The two-week read-only assessment highlights unattributed spend, idle agents, cost drift, and attribution readiness while live CFO read-outs are provided, all without production access.

Onaro announces Meridian as a FinOps system of record for AI labor, designed to meter usage, attribute spend, establish controls, and document ROI of AI agents.

Meridian aims to help finance and enterprise AI teams meter usage, attribute spend, set controls, and demonstrate the business return of AI agents.

Market context notes cite ROI data from KPMG and findings from Zylo on unexpected charges from consumption-based or AI pricing, underscoring the need for a consolidated FinOps approach.

Meridian targets multiple enterprise stakeholders—finance for spend management and chargeback, executives for ROI and board-ready reporting, risk/compliance for documented AI estate records, and engineering for seamless integration.