An AI agent should never create its own authority.
Authority must originate from the enterprise.
The enterprise defines authority. ServiceNow provides governance and context. Karvin makes the operating model deployable. VORTIQ-X evaluates protected actions at runtime.
13 steps from use case to evidenced production.
Each step is designed so that governance and authority are in place before the agent acts in a live environment.
Identify the AI use case
Define what the AI is intended to do and for whom.
Identify intended actions
List the concrete actions the agent may attempt.
Identify systems and data accessed
Map the tools, systems and data the agent will reach.
Establish ownership
Assign a named owner accountable for the agent.
Assess risk
Classify the use case against risk and regulatory tiers.
Define authority boundaries
Set what the agent may and may not do, by context.
Define approval requirements
Decide which actions need human approval.
Configure ServiceNow governance
Inventory, risk, controls, ownership and workflow.
Configure runtime authority
Implement VORTIQ-X action authority boundaries.
Test allowed and denied scenarios
Verify both permitted and blocked paths behave correctly.
Release
Move the agent into production under governance.
Continuously observe
Monitor actions, decisions and drift in production.
Preserve evidence
Retain decision and action evidence for audit.
What happens before an AI agent is allowed to act.
The use case is registered in ServiceNow
Inventory, ownership and risk classification are recorded before anything is built.
Authority boundaries are defined
What the agent may attempt, on which data and systems, up to what limits, and where humans must approve.
Runtime authority is configured
VORTIQ-X enforces the boundaries at the moment of each action request.
Allowed and denied paths are tested
Both permitted and blocked scenarios are verified before release.
Evidence is preserved
Every decision and action is recorded back into ServiceNow for audit.