Give AI employees autonomy — within boundaries you define.
Define what each AI employee may access, what it may do, which actions require approval, and when work must return to a human.
Control is defined before the employee acts.
Every AI employee operates through explicit permissions, approval rules, escalation paths, auditability and ongoing evaluation.
Permissions
Define exactly what each AI employee can read, access and change.
Human approval
Require human approval before defined sensitive or high-impact actions.
Audit trail
Record every action performed by an AI employee for review and accountability.
Escalation
Automatically route exceptions to human staff.
Data isolation
Separate customer environments and business knowledge according to defined access boundaries.
Evaluation
Continuously test agent accuracy and workflow reliability.
Autonomy starts after the boundaries are defined.
Every action has a boundary.
An action can be allowed, routed for approval, or blocked entirely depending on the employee's role and operating rules.
Allowed
- Book appointment
- Cancel appointment
- Send reminder
Approval required
- Override a policy
- Sensitive exception
- Unusual refund
Not allowed
- Medical diagnosis
- Modify medical records
- Change permissions
How an action is controlled
The AI employee can reason about the next step, but permissions, approval rules and deterministic workflows govern what may actually happen.
Customer / system request
Work arrives on a connected channel.
AI employee reasons about the next step
Understands intent and proposes an action.
Policy & workflow engine
Permissions, approval rules and workflow boundaries.
Permission & approval check
The proposed action is evaluated before anything runs.
Action recorded
AI reasons about the next step. Deterministic systems enforce rules and execute critical business actions.
Humans stay in control of sensitive decisions.
Approval and escalation rules define where the AI employee must stop and involve the right person.
Approval
Require explicit approval before a high-impact action.
Exception
Route unusual or out-of-policy cases to the right person.
Override
Allow an authorized human to stop or redirect the workflow.
Escalation
Transfer the case with its relevant context when the employee reaches its boundary.
Access is defined by role and responsibility.
Each AI employee receives only the systems, data and actions required for its defined role.
CRM
- Customer records
- Appointment status
Calendar
- View availability
- Book appointment
- Send confirmation
Medical records
- No clinical write access
Finance
- No payment authority
Administration
- No permission changes
Connected does not mean unrestricted.
Every important action should leave a trace.
A control record should make it possible to review what happened, which system was involved and whether approval or escalation occurred.
Example control record
- 10:42:11Request received
- 10:42:13Availability checked
- 10:42:15Booking permitted by policy
- 10:42:16Calendar updated
- 10:42:16Confirmation sent
- 10:42:17Workflow completed
Recorded for each action
- Action
- System
- Result
- Approval
- Escalation
- Timestamp
Control continues after deployment.
Monitoring shows where the employee performs reliably, where exceptions occur and where its operating boundaries need refinement.
Accuracy
Is the employee making correct decisions?
Workflow reliability
Are workflows completing as expected?
Exceptions
Where does the employee reach its operating limits?
Human interventions
Where are approvals or escalations occurring?
Monitoring helps refine the employee's operating boundaries over time.
Trust starts with accurate claims.
We describe the controls that actually exist in your deployment. We do not present certifications, guarantees or security properties that have not been verified.
Verified controls
We document the controls actually configured in the deployment.
Deployment-specific architecture
Security boundaries depend on the systems, integrations and deployment model.
No unverified certification claims
We do not display certifications or security claims that have not been earned or verified.
Ready to build your first AI employee?
We'll map the first workflow, define the right AI employee, and identify the systems, knowledge and controls it needs to operate.