01
Identity and permissions
Separate user, application, and runtime access so every action occurs in an explicit execution context.
Enterprise control
Give AI responsibility without giving up control.
AgentRuntime is designed to make execution visible, permissions explicit, and human intervention part of the workflow rather than an afterthought.
Operational governance
Control exists at every boundary where an agent can act.
02
Secrets and tools
Keep credentials governed and limit the tools and operations available to each workflow.
03
Human authority
Define who can approve, override, provide input, or resolve an exception.
04
Data boundaries
Design context access and connected systems around the needs of the workflow.
05
Execution policies
Use deterministic rules, confidence thresholds, and validation before important actions continue.
06
Auditability
Keep a connected record of model decisions, tool actions, human inputs, and state transitions.
Human-in-the-loop
Intervention is a first-class execution path.
A production workflow should know who is responsible when confidence is low, policy requires approval, or an unexpected condition appears.
Route the decision, not the entire process.
The workflow pauses at the exact point where judgment is needed. The responsible person receives the relevant context, acts, and the same run continues from that decision.
Visibility
Know what the system did, why it did it, and what is waiting now.
Operational question
Traditional agent request
AgentRuntime run
What step is active?
Often opaque
Explicit state
Which tool changed data?
Scattered logs
Connected timeline
Why did it choose this path?
Prompt inspection
Decision and policy record
Who approved the exception?
External process
Attached human action
Can the process resume?
Usually rebuild state
Continue the same run
Adoption path
Introduce autonomy without making one irreversible leap.
Observe and assist
Use agents to prepare work while people retain execution responsibility.
Automate routine paths
Allow safe, repeatable actions and escalate exceptions through explicit controls.
Expand trusted autonomy
Increase the operating boundary after the workflow proves reliable in real conditions.
Control should scale with the responsibility you give the agent.
Tell us where the workflow acts, what it can access, and which decisions must remain human.