Purpose
1.2. Ensure immediate automated alerting to operational or managerial staff for rapid intervention and resolution.
1.3. Enable end-to-end automation from data collection, anomaly detection, through to automated notifications via diverse communication channels.
1.4. Automate historical anomaly trend reporting for compliance and process improvement analysis.
Trigger Conditions
2.2. Automated spikes compared to historical baselines or sudden drops in service metrics.
2.3. Unusual sensor input (IoT) or sudden absence of expected data (e.g., missing location pings from crews).
2.4. Automated alerts for repeated anomalies over set periods or automated escalation rules for unacknowledged alerts.
Platform Variants
• Feature/Setting: Automated SMS alert via Twilio Programmable Messaging API; configure Webhook alert triggers and set recipient numbers.
3.2. SendGrid
• Feature/Setting: Automate email notification via SendGrid Mail Send API; configure automation to trigger on anomaly and send to predefined contacts.
3.3. Slack
• Feature/Setting: Automate Slack channel alert via Slack Incoming Webhooks or Bots; configure channel and message template for anomaly alerts.
3.4. Microsoft Teams
• Feature/Setting: Automated posting to Teams via Microsoft Graph API; set up automated connectors and custom message cards.
3.5. PagerDuty
• Feature/Setting: Automated incident creation using the Events API; configure rules for incoming anomaly triggers and response playbooks.
3.6. Opsgenie
• Feature/Setting: Automated alert using Alert API; link automation to send details to correct on-call team.
3.7. ServiceNow
• Feature/Setting: Automated incident ticket creation via ServiceNow Table API; configure with relevant CI and assignment group.
3.8. Zapier
• Feature/Setting: Automate cross-platform workflows using Zap triggers and actions; pick anomaly trigger and set alert action.
3.9. Google Chat
• Feature/Setting: Automated message posting using Google Chat Webhooks; set automated alert format and recipient room.
3.10. Amazon SNS
• Feature/Setting: Automated push/SMS/email using SNS Publish API; set automation to post to specific topic and subscribers.
3.11. Jira Service Desk
• Feature/Setting: Automated issue creation via Jira REST API when anomaly detected; configure automated custom fields/labels.
3.12. Asana
• Feature/Setting: Automated task creation using Asana API; map anomaly data to task fields and assign automatically.
3.13. Trello
• Feature/Setting: Automate Trello card creation via Trello API with alert info; configure board and list.
3.14. Discord
• Feature/Setting: Send automated notification via Discord Webhook; configure channel and message content.
3.15. Webex
• Feature/Setting: Automated message send using Webex API; alert configured for beach cleaning anomaly topics.
3.16. Notion
• Feature/Setting: Automated database entry or notification via Notion API; set up custom fields for anomaly log.
3.17. Intercom
• Feature/Setting: Automated messaging using Intercom API; update or notify user segments automatically on anomalies.
3.18. HubSpot
• Feature/Setting: Automated task or email notification via HubSpot Workflow Actions or API; integrate with service pipeline.
3.19. Monday.com
• Feature/Setting: Automate pulse creation or trigger Notification via Monday API; map detected anomaly to board structure.
3.20. Google Sheets
• Feature/Setting: Automate row addition/highlight for anomalies via Google Sheets API; trigger Google Workspace notifications.
3.21. Mailgun
• Feature/Setting: Automate transaction email dispatch via Mailgun Messages API with custom alert formatting.
3.22. IFTTT
• Feature/Setting: Automate multi-channel notification through IFTTT Webhooks; link anomaly trigger to SMS/email/push sequence.
Benefits
4.2. Ensures automated escalation and tracking of unresolved issues for compliance and audit.
4.3. Reduces manual monitoring; automator approach reduces human error and costs.
4.4. Enables automatable compliance reporting and automating trend visualization for management.
4.5. Empowers rapid, automatedly informed, and data-driven decision-making for environmental impact reduction.