How-To
How to Set Up AI-Powered Workflows with Human Approval
AI that acts without oversight is a liability. AI that proposes and waits for approval is a multiplier. STROKIX uses human-in-the-loop (HITL) workflows where the AI prepares an action, presents it for review, and only executes after explicit human approval.
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How HITL Works in STROKIX
When a STROKIX agent determines it needs to write data or perform a sensitive action, it pauses execution and creates an approval request. This request includes what the agent wants to do, which systems it will modify, and a preview of the expected outcome.
The designated approver receives a notification in Slack or the STROKIX UI. They review and click Approve or Reject. This is not optional for write operations. STROKIX enforces HITL by default on any action that modifies external systems.
Step 1: Define Which Actions Require Approval
In the admin panel under Agents, then Policies, you configure approval rules. You can create granular policies. For example: 'Auto-approve Jira ticket creation for bugs with severity low. Require approval for anything marked critical.'
Policies stack. The most restrictive policy wins.
Step 2: Assign Approvers
Each approval policy has one or more designated approvers. These can be specific users, roles, or dynamic (the Salesforce opportunity owner, the Jira ticket assignee).
If the primary approver does not respond within a configurable timeout, the request escalates to a secondary approver.
Step 3: Review and Act on Pending Approvals
Pending approvals appear in the STROKIX UI, in Slack as interactive messages, and via email with one-click action links.
After approval or rejection, the outcome is written to the HMAC-signed audit log. This log is immutable. Every approval decision is cryptographically verifiable.
Rollback if Something Goes Wrong
Even after approval, STROKIX maintains a transactional rollback capability for multi-system writes. If an approved action partially fails, the system can roll back the completed changes to maintain consistency.
This is a differentiator no other AI platform offers: full multi-system undo, not just single-tool revert.