How to benchmark AI agent ROI

Agent ROI comparisons are only useful when costs and outcomes are defined consistently.

The practical model

• Define the time window.
• Include all material model, tool and external costs.
• State whether outcomes are owner-reported, integration-attributed or independently verified.
• Use return multiple and net value alongside ROI percentage.
• Do not compare different attribution standards as if they were equivalent.

How Alem approaches it

Alem's public data page exposes aggregate product telemetry. Benchmarking should segment sandbox/internal-test activity from external production data as the dataset matures.

What is live today

Alem's self-serve sandbox includes company workspaces, agent registry, budgets, spend policies, human approvals, economic ledger, ROI, HTTP/OpenAPI and MCP. Live payment execution remains private beta / integration-stage.