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Hybrid Cloud and On-Premise Deployment

Customer challenge

Enterprise contact centres rarely fit neatly into a "fully cloud" or "fully on-premise" category. Regulatory requirements constrain what can go to cloud; operational flexibility and disaster recovery requirements push toward cloud-capable architectures. The result is often a hybrid reality: core infrastructure on-premise, overflow or remote populations in cloud, with two separate platforms that cannot share routing pools, queue configuration, or reporting.

Managing two contact centre platforms — one on-premise, one cloud — doubles operational overhead and creates capability gaps: cloud-only features are unavailable on-premise; on-premise integrations cannot be replicated in cloud without custom work.

ExpertFlow's approach

ExpertFlow's hybrid deployment model runs identical platform components across on-premise and cloud environments, connected by a shared routing and conversation layer:

  • On-premise Kubernetes cluster handles data-residency-sensitive workloads: voice media processing, recording storage, and data-residency-bound agent populations
  • Cloud Kubernetes cluster (AWS EKS, Azure AKS) handles burst capacity, DR failover, or geographically remote agent groups
  • Unified routing: all agent populations — on-premise and cloud — appear in a single routing pool; queue configuration is shared
  • Single supervisor view: wallboards and reporting span both environments
  • Recordings stored per-environment: on-premise recordings in local storage, cloud recordings in customer-owned cloud storage bucket
  • Configuration management via GitOps: the same Helm chart values drive both environments, with environment-specific overrides

Why ExpertFlow wins here

ExpertFlow's architecture is infrastructure-agnostic because it is Kubernetes-native, not VM-packaged. Running the same containers on two Kubernetes clusters is a supported, tested topology — not a bespoke integration. Competitors with separate cloud and on-premise products cannot achieve true operational parity across environments: cloud products have features the on-premise version lacks, and integrating them requires custom bridging. ExpertFlow's single codebase across deployment topologies means feature parity is structural, not an aspiration.

Typical deployment context

Multinational enterprises with regulatory requirements in at least one jurisdiction that require on-premise media handling, alongside remote workforce populations or cloud-first subsidiaries. Common in banking, insurance, and government agencies operating across multiple countries. Seat ranges typically 200–3 000 across both environments.

Open Items

  • [ ] Confirm hybrid deployment feature (efv-deployment-010) exists and covers shared routing model
  • [ ] Confirm cross-environment conversation continuity (if agent transfers across clusters)
  • [x] Confirm all features in features_included exist in the catalog (forward refs)
  • [x] Set decomposition_status: clean once Window 1 features are committed
  • [x] Derive primary_axioms from features (run bmad-catalog-intake)