Question 1

What does it take to deploy an AI agent in production?

Accepted Answer

Production AI agents need accountable identity, governed model and tool access, scoped credentials, enterprise connections, approval for sensitive actions, and a record of each result.

Question 2

How does C1 work with existing AI agent harnesses?

Accepted Answer

The harness runs the agent. C1 provides the production control layer for identity, model routing, tool access, credentials, connections, policy, approvals, and action records.

Question 3

How does C1 govern AI agent actions at runtime?

Accepted Answer

C1 evaluates the agent identity, delegated scope, requested tool, target, and policy when an action is attempted. Low-risk actions can continue, sensitive actions can pause for approval, and out-of-scope actions stop.

Question 4

How do production AI agents receive credentials securely?

Accepted Answer

C1 Vault can issue a scoped credential for an approved action without placing the underlying secret in model context.

Question 5

How do AI agents connect to on-premises systems?

Accepted Answer

C1 Bridge reaches supported internal systems through an outbound connection over 443, so teams do not have to expose those systems publicly or open an inbound port.

Question 6

What AI models, tools, and enterprise systems does C1 support?

Accepted Answer

Coverage depends on the provider, connector, MCP server or API, requested action, credential method, and current schema.

Deploy Production Agents

How do we move agents from demo to production without giving them unbounded access or losing human control?

Give every agent an identity

Route model and tool access

Issue scoped credentials

Hold sensitive actions

Record every result

The C1.ai products you'll use:

Put an AI agent into production under policy.

FAQs

Give every agent an identity

Route model and tool access

Issue scoped credentials

Hold sensitive actions

Record every result