How do you catch a late or missed cleaning without waiting for us to complain?

Slate’s visit lifecycle monitoring watches attendance milestones, records late or missed states, and follows completed visits for missing evidence or location exceptions.
How do you catch a late or missed cleaning without waiting for us to complain?
Slate uses scheduled visit milestones and operations alerts to surface attendance risk before it becomes a client surprise. The workflow watches for the signals that matter—an unconfirmed visit, no “on the way” update, no check-in, a late transition, or a visit that reaches its end without evidence—then gives the operations team a record to review. An alert is a prompt for action, not a promise that automation can fix staffing or predict every exception.
Watch the milestones before the start
A scheduled visit has more than one moment worth monitoring. Configurable lifecycle rules can look for an unconfirmed visit ahead of its start, a cleaner who has not indicated that they are on the way at the expected milestone, and a visit with no clock-in after its grace period. The monitoring worker evaluates visits in a bounded time window, while the lifecycle dispatcher keeps the rule execution auditable and idempotent.
That lets an operations lead work a queue before the client has to ask what happened. The first question is simple: is the cleaner still expected to attend, or does the assignment need intervention? The team can check the visit, contact the assigned cleaner through its approved process, and decide whether to keep monitoring, update the plan, or start coverage.
Distinguish late from missed
Slate’s lifecycle actions can transition an eligible visit to late when the configured late rule fires and to missed when the no-show conditions are met. The rules include guardrails: a visit that is already in progress or completed should not be marked late, and a visit that has a check-in should not be treated as a no-call no-show. The action is recorded with its rule source, so an operations reviewer can distinguish an automated state change from a manual assumption.
If a scheduled monitoring cycle was interrupted, the deep-history catch-up path can reuse the same mark-missed action and audit trail for visits whose scheduled end has passed. Older records suppress stale contact-facing notifications while still preserving the missed state, operations alert, and reassignment flag. That prevents the team from sending an alarming late message about an event from weeks ago while keeping the internal record correct.
Continue the review after the visit
Attendance is only the first question. Post-visit checks can flag a visit that ran beyond its scheduled end, has no photo evidence, leaves checklist items incomplete, or contains a check-in or check-out location anomaly. Photo evidence can come from general visit photos or checklist-item photos, so a cleaner is not penalized simply for attaching proof in the checklist workflow. New flags create an activity record and, when enabled, an operations alert for follow-up.

For a facilities team, that creates a sensible escalation rhythm: monitor the upcoming visit, review a late or missed status, confirm whether coverage is needed, and then inspect the completed visit’s evidence. It is more useful than a single “completed” label with no explanation of how the visit progressed.
Keep alerts in their proper role
Timing thresholds, alert settings, assignments, contact information, and provider configuration affect what the team sees. A late alert does not prove the cleaner never arrived, and a completed status does not by itself prove quality. Slate’s monitoring gives operations an early signal and a review trail; people still decide how to contact the cleaner, update the client, dispatch coverage, or investigate the record.
Put monitoring around your locations
Ask Slate to map your scheduled visit milestones, escalation ownership, late and missed review process, and post-visit evidence checks across the locations you manage.
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