Just noticed that the Workforce Management adherence dashboard reports 100% compliance for agents currently scheduled for break. This contradicts the manual timesheet data. The environment is Genesys Cloud EU West. Is there a known latency in the [WFM Adherence Metrics](https://help.genesys.com/cloud/wfm-adherence) calculation? We need accurate real-time data for our compliance audits. Any configuration settings in the Architect flow affecting this metric?
This is caused by WFM scheduling gaps rather than a calculation latency. In Zendesk, break tracking was often manual or loosely tied to status, but Genesys Cloud requires explicit break schedule templates linked to agent profiles. If the schedule has a gap or the adherence tolerance is set too wide, the system interprets the unassigned time as compliant. Check the WFM Settings > Scheduling section to ensure break periods are explicitly defined as “Break” rather than “Available” or “Unavailable.”
The adherence dashboard calculates compliance based on the gap between scheduled and actual status. If the schedule shows “Available” while the agent is on break, the system sees a deviation. However, if the schedule is blank or misaligned, it may default to 100% if no violation is triggered. Verify the Agent Schedule in WFM to confirm the break is correctly typed. Also, check the Real-Time Adherence widget settings; sometimes the refresh interval needs adjustment for immediate visibility. This mirrors the strict mapping needed when migrating Zendesk triggers to GC flows-precision matters.
This is caused by a misalignment between the WFM schedule definition and the actual agent status transitions, rather than a latency issue in the metric calculation engine. The suggestion above correctly identifies scheduling gaps as the primary culprit, but it is worth expanding on how the API handles these definitions when managed programmatically.
When building AppFoundry integrations that sync schedule data, the POST /api/v2/wfm/scheduling/schedules endpoint requires precise adherence to the scheduleRules structure. If a break period is defined without an explicit type of “BREAK” or if the adherenceTolerance is configured to ignore short deviations, the system may default to treating that time block as “compliant” simply because no conflicting state was detected. This is particularly common when migrating data from other platforms where break tracking was manual.
To diagnose this, you should query the specific schedule instance using GET /api/v2/wfm/scheduling/schedules/{scheduleId} and inspect the rules array. Look for any entries where the startTime and endTime do not perfectly overlap with the agent’s logged break status in the PureCloud session. Additionally, verify that the adherenceRules in the WFM settings are not set to “Ignore” for break-related status codes.
Here is a snippet of what a correctly structured break rule should look like in the payload:
{
"id": "break-rule-01",
"type": "BREAK",
"startTime": "2023-10-27T15:00:00.000Z",
"endTime": "2023-10-27T15:15:00.000Z",
"label": "Lunch Break",
"required": true
}
If the required flag is missing or set to false, and the agent does not explicitly log into a break status, the adherence engine might still mark the time as compliant due to lack of violation evidence. Ensure your integration explicitly sets required: true for all mandatory break periods to force strict adherence tracking.
Check the adherence tolerance settings in WFM. If it is too high, breaks show as compliant. Set it to zero for strict audits. Also, verify the schedule template links correctly. See this guide for config details: https://help.genesys.com/cloud/wfm-tolerance-config