Agent-as-a-Service: Provisioning a Single Dedicated AI Agent

Agent-as-a-service describes the provisioning of a single, purpose-built autonomous AI agent as a discrete, billable service, distinct from platforms that offer a catalog of interchangeable agents. The agent is scoped to one workflow or function, such as contract intake, customer routing, or scheduling, and is operated, monitored, and updated by the provider rather than the client. This model shifts responsibility for orchestration, guardrails, and observability onto the provider, while the client retains only the integration surface and the outcomes the agent produces. It sits within the broader shift toward agentic AI, where large language models are wrapped in autonomous, goal-directed systems rather than used as passive assistants. Because only one agent is delivered rather than a fleet, accountability and service-level expectations are narrower and easier to define than in multi-agent marketplaces, which appeals to organizations testing agentic AI on a single, well-bounded process before broader adoption. The approach trades the flexibility of a general platform for a clearer line of responsibility when the agent underperforms or the underlying model changes.