Data export: what to request before committing to a timeline
Genesys Cloud CX is documented in its own public materials as a cloud SaaS platform built on a microservices architecture. Before committing to a migration timeline, request a full export scope from Genesys directly — historical interaction records, recordings, IVR flow definitions, routing rules, and reporting configurations — and confirm the format and any time limit on export access after a contract ends. This should be a written commitment, not a verbal assurance.
Integration remapping: no-code workflows built in one platform rarely export cleanly
Genesys’s public platform pages describe a no-code, drag-and-drop orchestration layer letting business and IT teams co-build workflows. Workflow logic built inside a platform-specific orchestration tool typically cannot be exported as portable configuration — it has to be rebuilt in the destination platform’s equivalent. Inventory every custom workflow, bot flow, and integration built on Genesys before scoping migration effort, since rebuild time (not data transfer time) is usually the larger part of an integration cutover.
Compliance re-validation: don’t assume the new platform’s controls map one-to-one
Genesys’s public Trust Center documents ISO/IEC 27001, FIPS 197/140-2, PCI compliance, OWASP Top 10, and SANS Top 25 references. If a team’s compliance program was built assuming a specific control set from Genesys, moving platforms requires re-validating which controls the new platform actually documents, rather than assuming equivalence. This is a legal and compliance exercise, not just a technical one — involve compliance stakeholders in the vendor evaluation, not after the migration is underway.
Parallel-run period: reduce cutover risk by running both systems briefly
For any enterprise-scale contact center, a hard cutover from one platform to another on a single date concentrates risk unnecessarily. A parallel-run period — routing a subset of traffic (a specific queue, a specific region) to the new platform while the legacy Genesys deployment continues handling the rest — surfaces call-flow and integration gaps before they affect full volume. Plan the parallel-run scope and success criteria before cutover, not as an improvised fallback.
What this playbook does not assume
This playbook does not assume Genesys is deficient as a platform — it assumes any cross-platform migration carries real, planable risk that deserves the same audit discipline regardless of which vendor a team is leaving. The specific facts about Genesys referenced here are limited to what Genesys documents in its own public materials as of this review; verify current details directly with Genesys before finalizing a migration plan.
Can the vendor tell you — in one sentence — which of their AI capabilities are rule-based, which are generative, and which are still roadmap?