Dev.to
7/23/2026

The original title is: "AI Agents in Finance Live or Die by Runtime Receipts | Focused Labs"
Original: AI Agents in Finance Live or Die by Runtime Receipts | Focused Labs
Short summary
Financial services boards demand proof of ROI from agentic AI, and token-usage dashboards won't satisfy them. The correct unit of measurement is the completed work item—each RFP section, AML alert, or KYC package—tracked with runtime receipts capturing tool calls, costs, approvals, and outcomes. LangChain and Snowflake data show 68% of financial-services generative AI users can quantify positive ROI, but the discipline of attaching business context to every agent run before execution is what turns activity into auditable value.
- •ROI for agentic AI in finance must be measured per completed work item, not per token or prompt
- •Runtime receipts capture tool calls, costs, approvals, policy checks, and business outcomes for each agent run
- •68% of financial-services generative AI users report positive ROI; 30% use agentic AI in live workflows
Generated with AI, which can make mistakes.
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