Taming the agentic influx: a blueprint for AI business observability

API analyst Kin Lane argues that enterprises are sleepwalking into a runaway AI cost crisis because they lack business observability — the ability to map AI and API spend to business outcomes like product lines, customer segments, and revenue. He draws parallels with the early cloud era, warning that AI costs could be 100x worse. His blueprint involves embedding structured business-context metadata (tags) into every API and AI call, applying FinOps discipline to model and token spend, using MCP boundaries for strict context engineering, and ensuring domain vocabulary is owned by business stakeholders rather than engineers. Organizations with mature API governance, OpenAPI specs, and domain-driven design foundations are best positioned to manage the incoming wave of autonomous agent sprawl.