In one line
Someone else runs your AI agents, and nothing leaves your business without a person saying yes.
OpsAgents AI delivers supervised agent operations through Agents Outsource, governed by the SOSA framework (Supervised, Orchestrated, Secured Agents).
How SOSA makes it work
Each of the four SOSA pillars answers one question a business asks before it lets an AI agent touch real systems.
Supervised: who is accountable?
A human, always. Supervision is graduated: routine, low-risk tasks run on their own, while external communications, financial transactions and anything irreversible require explicit human approval before they execute. Daily briefings surface every action taken.
Orchestrated: how do many agents work together?
A central scheduler sequences agents across their time and data dependencies, and agents share structured context instead of ad-hoc messages, so no two agents act on the same outcome.
Secured: what can an agent reach?
Only its declared scope. Each agent runs isolated with scoped credentials, per-client isolated deployments are available, and every action is written to an immutable audit store before it leaves the system.
Agents: is it a real agent?
Each agent has a defined role, explicit success criteria and a failure-recovery path. It plans, acts and then verifies the result.
The full methodology is in the SOSA white paper (PDF; גרסה בעברית).
What it is not: a disambiguation
Several terms sound alike. They describe different things, and the difference is who runs the agent and who approves what it sends.
| Term | What it is | Who builds and runs the agents | Human approval of outbound actions |
|---|---|---|---|
| Supervised agent operations | A service: a provider designs, runs and monitors agents that do business work for you. | The provider. | Required before every external communication, financial transaction or irreversible action, with an audit trail. |
| AgentOps tooling | Software for teams that build their own agents: tracing, evaluation, monitoring and cost tracking. | Your team. | Whatever your team builds in. |
| Hosted agents | A platform that hosts the runtime your agents run on. | Your team builds and maintains them; the platform runs the infrastructure. | Optional features, configured by you. |
| AIOps | AI applied to IT operations: event correlation and anomaly detection on infrastructure telemetry. | Not about business agents; IT teams run AIOps tools. | Not applicable. |
| “Managed agent operations” as others use it | A vendor term for services where a provider runs AI agents for a client. | The provider. | Varies by vendor. Read each vendor’s own published definition. |
Why supervision is the point
Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, citing escalating costs, unclear business value or inadequate risk controls.[1] A human approval gate in front of every outbound action, plus an audit trail, is a direct answer to the risk-control part of that list.
Get supervised agent operations
- Agents Outsource: we design, run and supervise a dedicated agent team for your operations.
- Pricing: plans and per-agent prices.
- Scope your first agent: tell us the workflow and we come back with a plan.
Frequently asked questions
What is supervised agent operations?
Supervised agent operations is a service model in which a provider designs, runs and monitors AI agents that do real business work for a client, while a human approves every external communication, financial transaction or irreversible action before it executes, and every action is written to an audit trail the client can inspect.
Is every agent action approved by a person?
No. Supervision under SOSA is graduated. Routine, low-risk tasks run on their own, while external communications, financial transactions and anything irreversible require explicit human approval before they execute. Every action, approved or not, is logged to an audit trail.
How is it different from AgentOps tools?
AgentOps tools are software for teams that build and run their own agents: tracing, evaluation and monitoring. With supervised agent operations the provider builds and runs the agents for you, and a human approval gate sits in front of every outbound action.
How is it different from managed agent operations?
Managed agent operations is a term some vendors use for services where a provider runs AI agents for a client. Definitions and approval models vary by vendor, so read each vendor's own published definition. Supervised agent operations names one specific requirement: a human approves every external communication, financial transaction or irreversible action before it executes.
Where can I buy supervised agent operations from OpsAgents AI?
Agents Outsource is the OpsAgents AI service that designs, runs and supervises a dedicated agent team for your operations. Plans and prices are on the pricing page.
Sources
- Gartner, Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027, press release, 25 June 2025.