AI monitoring, usage visibility, and spend oversight
Track AI calls, token usage, and spend trends across organizations and partners.
Summary
- Track AI calls, token usage, and spend trends across organizations and partners.
- Use this guide to complete the workflow with audit-ready evidence and ownership.
- If you hit a blocker, run troubleshooting first, then escalate with context.
Steps
1. Set scope and owner
Confirm the organization, role, and workflow scope before making changes.
2. Complete required actions in order
Run the in-product steps sequentially and do not skip required confirmations.
3. Verify outcome and capture evidence
Record status changes, blockers, and linked evidence so the next team can proceed quickly.
Verification
- Expected status is visible in the relevant dashboard or API response.
- Required evidence, ownership, and timestamps are present.
- No blocking validation, policy, or governance errors remain.
Troubleshooting
Action is disabled or unavailable.
Check role permissions, onboarding or training gates, and plan entitlements for the current organization.
Output does not match expected quality or scope.
Review organization profile context and rerun with updated standards, dependencies, and operating details.
Workflow screenshots
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