The worst way to find out your password-reset emails are bouncing is from a customer phone call. The second-worst is from a chart you happen to look at the next morning. SLA alerts watch the health signals that matter and page the right person the moment they shift.
Each capability ships on the standard plan. Nothing in this list is an upsell or a separate product line.
Each channel ships with a baseline SLA: email median delivery under 30 seconds, transactional SMS under 5 seconds, webhook end-to-end under 2 minutes. Override per workspace if your platform commits something stricter.
A static 'alert if bounce rate > 3%' rule fires too often for low-volume senders and too rarely for high-volume ones. We baseline each metric against its own history and alert on standard-deviation-based deviations.
Critical alerts route to on-call; warnings go to Slack; informational signals go into a daily digest. Acknowledgement and resolution flow back into the platform so post-mortems include the alert timeline.
Publish the subset of incidents that affected real recipient delivery to a status page or in-app banner — preserving trust during the rare incident instead of leaving customers to guess.
All anomaly history is part of the same audit log, so the timeline of 'when did we know about this' is always recoverable — there's no separate observability product to license or piece together.
Sender reputation, DMARC failures, and inbox placement in one dashboard.
Engagement tracking that survives Apple Mail Privacy Protection and ad-blockers.
Every send, retry, signature, and webhook delivery, searchable for the legally required retention period.
Reach customers on the channel they actually open — email, US-native SMS, WhatsApp Business, and any system you can point a webhook at.
Move beyond one-off sends. Trigger flows from product events, sequence messages across channels, and adapt copy to who is reading it.
