BlackBeltHelp

Meet us @ Booth #101, EDUCAUSE . October 27–30, 2025 | Nashville

NEW PRODUCT LAUNCH

BlackBeltHelp Signals

AI service outage detection solution that integrates with your helpdesk to inform users of the disruption and resume resolution of related queries once services are restored - ultimately reducing call volume and caller frustration

SEE EXACTLY HOW SIGNALS WORKS.

BOOK A 20-MINUTE DEMO
Miami, FL | BlackBeltHelp announced the release of BlackBeltHelp Signals, an outage detection and caller communication system for higher education institutions. Signals is built on a vantage point only a helpdesk operator has. BlackBeltHelp answers the calls, so BlackBeltHelp sees the outage as it starts. In roughly 9 out of 10 outages, BlackBeltHelp is the one telling the institution a system is down. Signals turns that into an automatic response: it watches call volume against each campus’s own baseline, updates the AI Front Desk greeting the moment the pattern breaks, and tells callers what is happening before they reach a queue. For IT leaders who need to know about an outage before their students do, keep every caller informed while the incident is being worked, and close the gap between detection and communication, BlackBeltHelp Signals turns helpdesk volume into an early warning system for the campus.
135+
Campuses Served
87%
First-Contact Resolution
24/7
AI + Human Coverage
9 in 10
Outages WE See First

What you get

The calls are the detector.

Signals watches live queue and call volume across every channel BlackBeltHelp answers, campus by campus, against that campus’s own baseline. When volume departs from the pattern, transcript and intent signals confirm what callers are actually reporting. Nobody has to notice a spike and escalate it.

The greeting updates itself.

Once an issue is confirmed, the AI front desk greeting changes automatically to acknowledge the outage and set expectations. The manual recording, and the approval cycle sitting behind it, no longer stands between the incident and the caller.

Monitoring feeds in, not just call volume.

Signals connects to up and down monitoring for SSO, LMS, SIS, email, network status feeds, and vendor status pages. A confirmed outage pushes straight to the AI front desk, so callers hear about it before the queue surge begins.

Your technical contact hears it from us.

Signals notifies the campus technical point of contact by outbound call, email, ticket, or SMS: what we are seeing, when it started, and the exact wording callers are hearing.

Approve the change from the notification.

The campus can approve or edit the greeting change from the notification itself. When the system recovers, Signals sends an outage-closed notice and reverts every setting to normal.

Repeat calls answered at the front door.

When one system goes down, the same question arrives over and over. Signals answers it before it reaches the queue, so the rest of your support keeps moving.

Detection and Response in One System

Signals sees it, tells every caller, and notifies your team.

DETECTION

How Signals knows.

  • Live queue and call volume monitored per campus, against that campus’s own baseline
  • Automatic detection when volume departs from the pattern
  • Transcript and intent confirmation as a secondary check
  • Up and down monitoring integrations: SSO, LMS, SIS, email, network status feeds, and vendor status pages
  • Confirmed outages pushed to the AI front desk ahead of the call surge

RESPONSE

What Signals does about it.

  • AI front desk greeting updated automatically for the duration of the incident
  • Technical point of contact notified by outbound call, email, ticket, or SMS
  • Consent-to-change workflow: approve or edit the greeting from the notification
  • Outage-closed notification, with an automatic revert to the standard greeting
  • Incident history, MTTR, and deflected-call reporting through BlackBeltHelp Insights
  • APIs

Quick questions

  • How does Signals know it is an outage and not registration week?
    Each campus is measured against its own baseline rather than a fixed threshold, so normal seasonal peaks read as normal. Transcript and intent signals confirm that callers are reporting the same problem before any greeting changes.
  • Who approves the change to the greeting?
    That is configurable. A campus can pre-approve greeting templates so the update happens the moment an issue is confirmed, or require approval on each incident. With Pro, the technical contact can approve or edit the wording directly from the notification.
  • What does the caller actually hear?
    An acknowledgment of the specific issue, what it affects, and what to expect. Not a generic hold message. The wording is tied to the incident and reverts on its own when the system recovers.
  • Does Signals replace our monitoring?
    No. Signals reads your monitoring and your vendors’ status feeds, and adds the one signal monitoring cannot give you: what your campus is calling about right now.
  • Where do we see incident history?
    Incident history, MTTR, and deflected calls are reported through BlackBeltHelp Insights Pro.
  • Does this only work if BlackBeltHelp runs our helpdesk?
    Yes. Signals works because BlackBeltHelp answers the calls. The detection comes from your live helpdesk volume, which is also why we tend to see the outage first.

Integrations

PLUGS INTO YOUR STACK ON DAY ONE

Signals reads up and down monitoring for SSO, LMS, SIS, email, network status feeds, and vendor status pages, and acts through the AI front desk already answering your calls. Native connections to your SIS, LMS, identity, MFA, ITSM, and CRM stack mean the response is carried out in your systems instead of scripted around them.

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See what an outage looks like from the helpdesk side, in 20 minutes. No install, no commitment.

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