Rip-and-replace migrations risk dropped calls and lost trust
A contact center carries live, revenue-critical traffic every minute of the day. A big-bang cutover from a legacy PBX risks dropped calls, lost routing logic, and a workforce that doesn't trust the new platform on day one.
This solution moves in phases — discover the current state, design the target architecture, migrate queue by queue with a validated parallel run, and only cut over once the numbers match.
Discover → design target → migrate in phases → cut over
- ✓ Current-state discovery & mapping
- ✓ Target architecture design
- ✓ Phased migration by queue/site
- ✓ Parallel-run validation
- ✓ Cutover runbooks & rollback plans
- ✓ Amazon Connect
- ✓ AWS Migration Hub
- ✓ CloudFormation / Terraform
- ✓ AWS Lambda + CloudWatch
- ✓ Amazon Connect APIs
- ✓ Parallel run before every cutover
- ✓ Per-site rollback plan
- ✓ Phase-gate stakeholder sign-off
- ✓ No big-bang cutovers
Cutover is a decision backed by data, not a date on a calendar
During parallel run, mirrored traffic hits both platforms. Routing outcomes are compared call-for-call, and a queue only cuts over once its match rate clears the bar.
import boto3 MATCH_RATE_THRESHOLD = 0.995 def validate_queue_for_cutover(queue: str, sample: list) -> dict: matches = 0 for call in sample: legacy_route = legacy_routing_outcome(call) connect_route = connect_routing_outcome(call) if legacy_route == connect_route: matches += 1 match_rate = matches / len(sample) # A queue only cuts over once the platforms agree, call for call ready = match_rate >= MATCH_RATE_THRESHOLD return {"queue": queue, "match_rate": match_rate, "cutover_ready": ready}
Move to Amazon Connect without betting the queue
Deploy standalone, or pair it with Managed Operations & Support to keep the platform healthy after go-live.