Clear Broadcast Answers
Audit-grade visibility into every alert and broadcast already sent — who got it, who acknowledged, who marked safe in the muster, and exactly why a delivery failed. Strictly read-only by design. No send tools, no edits — the agent inspects, it doesn't compose.
Why Post-Send Visibility Breaks Down
Broadcasts & Alerts Help Agent attacks the four specific failures that turn a successful send into a guessing game afterwards — without changing how alerts or broadcasts get composed.
"Did Everyone Get It?" Is A 20-Minute Investigation
Comms hits send. Ten minutes later someone asks who acknowledged. The dashboards exist, but pulling counts, comparing to the audience, and explaining the gap eats a half-hour. Most teams just say "looks good" and hope.
Muster Roll-Up Lives In One Person's Head
During an evacuation or weather event, the safety officer needs the count of "I'm safe" vs "need help" RIGHT NOW. Without a fast, structured answer, the on-call has to chase channels while the incident is still active.
"Why Didn't Sarah Get The Alert?" Has No Quick Answer
When a single recipient says they missed something, finding out which channel attempted what and what failed is a manual log dig. Carrier rejects, expired device tokens, wrong number on file — none of it surfaces unless you go looking.
Routine Comms Questions Pull Senior Admins Into Slack
"What broadcasts went out this month?" "Did the CEO update reach the field?" Each ad-hoc question becomes a screenshot job for whoever has admin access. The agent absorbs the lookup, the admin stays focused on the next send.
After-Action Reviews Start From A Blank Page Every Time
The incident closed an hour ago and leadership wants a write-up: timeline, channels used, reach, acks, muster outcomes, anomalies. Without a single place to pull the lifecycle, the safety lead reconstructs it from screenshots, channel logs, and memory — and the document lands a day later instead of an hour later, when the lessons are still fresh.
Trend Questions Have No Answer Until Someone Builds A Spreadsheet
"Which department has the lowest ack rate?" "Are evening sends underperforming morning ones?" "How has muster response time changed over the last six weeks?" These aren't dashboard questions — they're the questions that should shape the next emergency-comms drill. Without a queryable read-only agent, they only get asked when leadership formally asks for a report.
Broadcasts & Alerts Help Agent At A Glance
Broadcasts & Alerts AI (Help)
Read-only post-send inspection. Zero send capability.
Inside Broadcasts & Alerts Help Agent — The Actual Capabilities
Every block below maps to a real tool the agent uses against your Broadcasts & Alerts records. Strictly read-only — the agent never composes, sends, edits, or cancels. Those actions live in the Admin Agent, behind explicit confirmation.
Recent Alerts And Broadcasts, Grounded In The Send Log
Ask in plain English — the agent pulls alerts and broadcasts from a time range against the same records the admin console renders. Each row carries the timestamp, channels, audience size, and current ack/delivery state, so the answer is grounded, not approximate.
- list_recent_alerts — emergency alerts in a natural-language time range ("last week", "Q3 2025") with up to 100 results.
- list_recent_broadcasts — formal broadcasts in a time range, separate from emergency alerts so the two categories don't mix.
- show_record — single alert or broadcast by id or title fragment, with the full body and lifecycle metadata.
- Time-range parsing — accepts "last week", "Q3 2025", "since 2026-04-01", defaults to last 30 days if omitted.
Acknowledgement Roll-Ups Without Running A Report
"Who acknowledged the policy update?" gets a structured answer — total recipients, count acknowledged, count pending, and which specific users haven't responded yet. The agent ranks pending users so the follow-up is targeted, not a blast reminder.
- acknowledgment_summary — total + acknowledged + pending for a single alert or broadcast.
- list_pending_acknowledgments — up to 100 users who still need to acknowledge, with department and last-seen context.
- Lookup by id or title fragment — no need to copy a record id; "the weather alert" resolves to the right send.
- Audience-aware counts — pending counts only include the audience the alert actually targeted, not the whole company.
Muster Status And Per-Channel Delivery Diagnostics
For alerts with safety check-in enabled, the agent rolls up "I'm safe" / "need help" / "no response" counts on demand — the on-call doesn't have to memorize where that data lives. For "why didn't they get it?" questions, the agent returns the per-channel attempt trail with reason codes from the delivery layer.
- muster_status — I'm-safe / need-help / no-response counts for an alert (alerts only — broadcasts don't have muster).
- diagnose_delivery — per-channel breakdown of failed/skipped deliveries with reason codes (carrier_invalid_number, device_token_expired, quiet_hours_skipped, etc.).
- Predicted ack curve — pre-send forecast of expected reach + quiet-hours overlap, based on similar past sends.
- Post-incident summarize — compliance-grade narrative of a sent or cancelled alert's lifecycle, deliveries, and muster outcomes.
Outcomes Teams Can Measure
The agent's job is to make post-send visibility a 10-second answer instead of a 30-minute report run, and to surface the specific recipient + channel failures that make the next send more reliable. Measure against your pre-agent baseline.
- Time-to-ack-rate — seconds from "did everyone get it?" to a grounded total/ack/pending number.
- Muster roll-up speed — seconds from incident question to current safety counts during an active event.
- Per-recipient diagnosis rate — share of "why didn't X get it" questions answered with a specific reason code instead of "I don't know."
- Admin interruption reduction — drop in comms / safety admin pings for routine "what went out" lookups.
- Pre-send forecast adoption — share of drafts where admins consulted predicted_ack_curve before scheduling.
Intentionally Read-Only · Send Capability Lives In The Admin Agent
Broadcasts & Alerts Help Agent's RISKY_TOOLS list is empty — the agent inspects, summarizes, and diagnoses, but it never composes, sends, cancels, or edits. Compose and dispatch live in the Broadcasts & Alerts Admin Agent behind explicit confirmation, so the split between inspection and action is architectural, not advisory.
- Zero write tools — RISKY_TOOLS list is empty. No compose, no send, no cancel, no edit.
- Permission-aware — the agent only surfaces alerts and broadcasts the user can already see in the admin console.
- Audit trail on every read — even inspection calls log the requesting user, the tool called, and the record retrieved.
- Two-agent split by design — inspection (this agent) and sends (the Admin Agent) are separate services so a read query can't accidentally trigger a write.
WHAT TEAMS TRY INSTEAD
The four alternatives — and why none of them answer "did Sarah get it?" in one chat
Comms, safety, and platform admins inspecting their sends usually try one of these four. None of them reconcile ack roll-ups, muster status, and per-recipient delivery diagnostics in one queryable surface.
Pasting broadcast exports into ChatGPT, Claude, or Copilot
Dumping the delivery report into a chat window and asking for a summary
- The agent reads live ack roll-ups and muster state — no stale CSV from 20 minutes ago
- Per-channel delivery diagnostics come from the actual logs — generic AI has to guess why Sarah didn't get it
- Honors admin and analyst visibility automatically; a generic chatbot can't tell which sends an analyst should see
Everbridge AI / PagerDuty AIOps / AlertMedia
Vendor-trapped post-send analytics inside one alerting platform
- Inspection composes with Comms Hub, News Feed, and Platform Admin — not stuck inside one alerting silo
- Two-agent split (Help inspection vs Admin sends) is architectural — a vendor's "analytics tab" sits next to its send button
- No second per-seat license for a separate analytics module
A custom analytics dashboard on top of the alert log
An engineering team's six-month build, then forever maintenance of join logic across deliveries, acks, and muster
- Shipped already. Engineering spends zero weeks plumbing per-channel diagnostics, muster roll-ups, or after-action timelines
- Architecturally zero send capability — the help agent literally has no send tools registered
- Inherits new capabilities (richer trend queries, new channel-level diagnostics) as the platform evolves
The manual fallback — screenshot the dashboard, reconstruct the timeline
The default after every incident closes
- After-action reviews start with a complete lifecycle — not a screenshot scramble across three consoles
- Trend questions ("evening vs morning ack rates?") answer in seconds without spreadsheet-building
- Routine "which broadcasts went out this month?" questions stop pulling senior admins into Slack
PLATFORM LEVERAGE
Broadcasts & Alerts Help Agent inherits everything the platform already runs
A standalone analytics bot has to plumb each of these. The Help Agent gets them for free because Comms Hub, News Feed, and Platform Admin already do.
Cross-app data plane
Alert deliveries, broadcast acks, muster responses, and recipient channel state all reach the same agent — no separate analytics warehouse.
Unified permission model
Admins and analysts see only the sends their role allows; the agent inherits the existing alerting visibility — no parallel ACL.
Audit trail on every read
Even inspection calls log the requesting user, the tool, and the record retrieved — useful for audit and incident-review defensibility.
Translation in 100+ languages
Multilingual after-action reviews summarize delivery and ack data in the language the reader speaks.
Mobile delivery for the safety officer
A safety lead on the floor asks for the muster count from the same mobile app the rest of work runs in — no separate analytics console to install.
Two-agent architectural split
Inspection (this agent) and sends (the Admin Agent) are separate services — a read query architecturally cannot trigger a write.
INDUSTRY FIT
Industries where post-send accountability is the highest-stakes question
Broadcasts & Alerts Help Agent helps wherever a sent alert needs to be defensible after the fact.
Healthcare
Code-alert ack roll-ups, weather-closure acknowledgement, and patient-safety page diagnostics — answerable in seconds for the next quality review.
Manufacturing
Plant-floor muster after evacuations, shift-impacting alerts, and per-recipient delivery diagnostics for compliance write-ups.
Retail (Multi-Site)
Robbery and safety-alert ack counts per store, weather-closure muster across regions, and trend reviews per district.
Education
Campus-safety after-action reviews and weather-closure ack rates with audit-defensible records.
Public Sector
Field-crew and agency alert outcomes inside FedRAMP-eligible deployment options with full retention.
Logistics & Transportation
Per-driver, per-depot delivery diagnostics for safety alerts and route closures — defensible at audit time.
WHY MANGOAPPS WINS
An embedded agent beats a chatbot, a vendor add-on, or a custom build on every axis
The argument finance, security, comms, and safety all share — and the one a vendor analytics module structurally cannot answer.
Cheaper than the alternatives
No per-seat ChatGPT license, no Everbridge analytics module, no PagerDuty AIOps tier, no six-month custom dashboard, no senior-admin time chasing one-off questions.
More secure
Architecturally zero send capability — the agent has no write tools registered. Every read is permission-aware and logs to AiApiLog.
Easier to deploy
Already deployed if you have Broadcasts & Alerts enabled. Turn the help agent on against the existing send history and it's running the same day.
Easier to use
Lives inside Ask AI — no separate analytics tab, no three-console screenshot chase, no spreadsheet build to answer a trend question.
Easier to manage
Visibility, role-based scope, and retention all sit in the same admin console as every other app. One audit log, one access model.
Easier to extend
Shares the agentic tool framework with every other MangoApps agent. New diagnostics or new trend queries ship as tools, not rewrites.
AI is actually better
A vendor analytics module can show a chart. Only the Help Agent reconciles deliveries, acks, muster, and per-recipient channel diagnostics in one conversation — and stays architecturally read-only.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
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Frequently Asked Questions About Broadcasts & Alerts Help Agent
8 read-only tools — list_recent_alerts, list_recent_broadcasts, show_record, acknowledgment_summary, list_pending_acknowledgments, muster_status, diagnose_delivery, predicted_ack_curve, and a post-incident summarize_incident tool for compliance narratives.
No. RISKY_TOOLS is empty — this agent inspects, never writes. Compose, send, cancel, and approval withdrawal live in the Broadcasts & Alerts Admin Agent, where each write tool requires explicit confirmation. The split is architectural, not policy.
muster_status only applies to alerts with safety check-in enabled — broadcasts don't have muster. It returns I'm-safe / need-help / no-response counts against the alert's targeted audience, so on-call responders can act on a current roll-up instead of waiting for a report.
diagnose_delivery returns per-channel attempts (in-app, email, push, SMS, voice, signage) with reason codes from the delivery layer — carrier_invalid_number, device_token_expired, quiet_hours_skipped, and similar. You can scope it to one recipient or get the full failed/skipped breakdown across the audience.
Time-to-ack-rate (lookup speed), muster roll-up speed during incidents, per-recipient diagnosis rate (specific reason codes vs "I don't know"), admin interruption reduction for routine lookups, and pre-send forecast adoption via predicted_ack_curve.
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