Momentum dies after go-live without a named owner
Amazon Connect programmes often stall right after launch: the implementation team disbands, nobody owns the release pipeline, small improvements pile up in a backlog nobody grooms, and the first production incident has no defined runbook.
This solution puts an onsite technical lead and an offshore delivery team behind the platform permanently — governed releases, 24/7 monitoring, and a roadmap that keeps moving.
Triage & prioritize → release → monitor production → report
- ✓ Onsite lead + offshore delivery
- ✓ Governed release management
- ✓ 24/7 monitoring & incident response
- ✓ Backlog grooming & roadmap input
- ✓ Executive stakeholder reporting
- ✓ Amazon Connect
- ✓ Amazon CloudWatch + EventBridge
- ✓ Git-based CI/CD release pipelines
- ✓ ServiceNow (incident & change)
- ✓ IAM governance
- ✓ Change approval gates
- ✓ Incident runbooks with defined SLAs
- ✓ Mentorship & knowledge transfer
- ✓ No undocumented prod changes
Alarms open a tracked incident, not a Slack message that gets lost
Production alarms create a governed ServiceNow incident automatically and page the on-call engineer with the SLA already attached — nothing depends on someone noticing.
import requests SLA_MINUTES = {"P1": 15, "P2": 60, "P3": 480} def handle_cloudwatch_alarm(alarm: dict) -> dict: severity = classify_severity(alarm["AlarmName"]) # Every alarm becomes a tracked, SLA-bound incident automatically incident = requests.post( "https://instance.service-now.com/api/now/table/incident", json={ "short_description": alarm["AlarmName"], "priority": severity, "sla_minutes": SLA_MINUTES[severity], }, ).json() page_oncall(severity, incident["sys_id"]) return incident
Don't let go-live be the high point
Deploy standalone, or pair it with Contact Lens QA & Compliance for a full picture of platform and agent health.