Google Dialogflow CX Migration Partner
Aumne ACT is the fastest path from any legacy IVR to Google Dialogflow CX. Automated discovery captures your existing flows, routing logic, and integrations on Day 1. Native Dialogflow CX intents, flows, pages, and entity types are generated from your actual call logic, not rebuilt from zero. Fixed fee from $25K.
Google Dialogflow CX is the enterprise-grade conversational AI platform within Google CCAI. Its state machine architecture, visual flow builder, and native integration with Google Cloud make it a strong destination for production IVR modernization.
Dialogflow CX models conversations as explicit state machines with flows, pages, and transition routes. This architecture mirrors the structural complexity of production IVR systems, making it a natural destination for legacy call flow logic rather than a forced simplification.
Dialogflow CX is the NLU layer inside Google Contact Center AI. It integrates with Agent Assist for real-time agent guidance, CCAI Insights for conversation analytics, and UJET for telephony. The full CCAI stack is available without third-party middleware.
The Dialogflow CX visual builder manages flow complexity through reusable pages, flow versioning, and environment promotion. Version history, A/B testing between flow versions, and rollback capabilities are built in: requirements for production contact center operations that Dialogflow ES does not support.
Dialogflow CX maintains conversation state across multi-turn interactions through explicit session parameters and page-level context. Complex IVR interactions (account authentication sequences, multi-step data collection, conditional routing trees) are modeled directly without intent chaining workarounds.
Platform Output
Every artifact ACT generates is a native Dialogflow CX construct, importable directly into a CX agent and ready for validation. Not an intermediate format requiring manual conversion.
Discovered speech grammars and DTMF option sets are transformed into Dialogflow CX intents with training phrase sets. Existing caller utterance patterns from the source IVR inform training data generation, giving the CX agent a head start on NLU accuracy rather than requiring manual training phrase authoring.
Legacy IVR call flow segments are mapped to Dialogflow CX flows and pages. Routing branches, conditional logic, and menu depth are represented as CX transition routes between pages. The resulting flow topology preserves the navigation structure of the source IVR while conforming to the CX state machine model.
Data capture elements from the source IVR (account numbers, date formats, zip codes, product codes, and custom vocabulary) are extracted and defined as Dialogflow CX entity types. System entities are matched where applicable; custom entities are generated for domain-specific data.
Every external system call in the source IVR (CRM lookups, account authentication, payment processing, backend data dips) is captured and represented as a Dialogflow CX fulfillment webhook definition. The interface contract from the source integration is preserved in the generated webhook spec.
ACT generates Dialogflow CX test cases from the call paths discovered in the source IVR. Test case coverage includes the primary path for each intent, DTMF fallback handling, no-input and no-match timeout scenarios, and error recovery branches. Test cases are ready to run against the generated agent before UAT begins.
Exception handlers, system event responses, session timeout behaviors, and escalation triggers from the source IVR are mapped to Dialogflow CX event handlers and no-match/no-input responses. Transfer-to-agent flows are generated with the CCAI conversation handoff parameters required for Agent Assist context passing.
Migration Process
Three phases from source IVR to Dialogflow CX production. Each phase has a fixed scope and defined output that feeds directly into the next.
ACT connects to the source IVR on Day 1. It ingests VXML documents, routing tables, speech grammars, DTMF menu structures, integration endpoint definitions, exception handlers, and transfer targets. Every artifact is catalogued with dependency mapping: understanding which flows call which integrations, which grammars back which prompts. Nothing is left to documentation or institutional memory.
The discovered artifacts are transformed into native Dialogflow CX constructs: intents with training phrases, flows with pages and transition routes, entity types, fulfillment webhook definitions, and generated test cases. Each generated artifact is traceable back to the source element it represents. Validation runs against the source environment before UAT begins. Discrepancies are resolved in the generated artifacts, not by reauthoring them.
Generated artifacts are deployed to a Dialogflow CX development environment for structured UAT. Generated test cases cover the primary and exception paths for every discovered call flow. After UAT sign-off, artifacts are promoted through staging to production using Dialogflow CX environment management. The source IVR remains live in parallel until production stability is confirmed. Cutover does not require a maintenance window.
Dialogflow CX is the NLU layer inside the Google Contact Center AI platform. Migrating to Dialogflow CX with Aumne ACT positions your contact center for the full CCAI capability stack.
Each source platform brings its own artifact types and structural conventions. Aumne ACT has platform-specific handlers for each, producing consistent Dialogflow CX output regardless of origin.
VXML documents, VDN routing tables, AEP flows, and Orchestration Designer logic are ingested. Avaya-specific VXML extensions are normalized before CX artifact generation.
CVP VXML applications, UCCE scripts, and UCCX workflow logic are parsed. Queue and skill group definitions are mapped to Dialogflow CX routing parameters and fulfillment webhook calls.
PureConnect Interaction Architect flows and PureEngage Architect callflows are ingested. Interaction attributes, data actions, and route point configurations are preserved in generated CX session parameters and webhook specs.
Nuance SpeechWorks grammars and NMS VXML applications are parsed. Grammar slot and rule structures map directly to Dialogflow CX entity type and intent generation, preserving NLU coverage from the source platform.
In-house IVR platforms and bespoke VXML systems using standard VXML 2.0/2.1 specifications are supported. Extension dialects common to specific telephony platforms are handled through ACT's normalization layer.
Platform Selection
Buyers evaluating Google's conversational AI platform will encounter both Dialogflow CX and Dialogflow ES. For production IVR modernization, the architectural differences are significant.
| Capability | Dialogflow CX | Dialogflow ES |
|---|---|---|
| Conversation architecture | State machine with explicit flows, pages, and transition routes | Flat intent model with context chaining |
| IVR complexity support | Multi-level flow hierarchies, reusable page components, nested flows | Context stacking becomes unmanageable at production IVR scale |
| Flow versioning | Version history, environment promotion (dev / staging / production), rollback | No native versioning; all changes are live immediately |
| A/B testing | Built-in experiment framework for comparing flow versions on live traffic | Not supported natively |
| Multi-turn complexity | Explicit session parameter management across multi-turn interactions | Context lifespan management limits multi-turn depth |
| Test case management | Native test case framework, regression suite, CI/CD integration | No built-in test case management |
| Google CCAI integration | Primary NLU layer for Agent Assist, CCAI Insights, and UJET | Limited CCAI integration; CX is the current Google CCAI standard |
| ACT migration output | Full native artifact generation: intents, flows, pages, entities, webhooks, test cases | Aumne ACT targets CX; ES migration available on request |
Questions from contact center architects and CTO teams evaluating Dialogflow CX migration paths.
Aumne ACT connects to your existing IVR on Day 1 and performs automated discovery of every flow, routing rule, speech grammar, integration endpoint, and exception handler. The platform then generates native Dialogflow CX intents, flows, pages, entity types, fulfillment webhook definitions, and test cases from your discovered logic. There is no blank-canvas rebuild phase. The full migration from discovery to production cutover takes 45 days at a fixed fee from $25K.
Dialogflow ES uses a flat intent model where complex multi-turn interactions require careful context chaining that becomes difficult to maintain at production IVR scale. It also lacks version management, environment promotion, and built-in test case frameworks. Dialogflow CX introduces a state machine architecture with explicit flows, pages, and transition routes that maps directly to the structural complexity of production IVR systems. CX supports flow versioning, A/B testing, and environment promotion, all required for production contact center operations. Aumne ACT generates native Dialogflow CX artifacts because the architecture is the right fit for the problem.
Yes. ACT produces native Dialogflow CX artifacts (intents with training phrases, flows with pages and transition routes, entity types, fulfillment webhook definitions, event handlers, and test cases) generated from your actual source IVR logic. The output is importable directly into a Dialogflow CX agent and validated against the source environment before UAT begins. It is not a starting point for manual authoring.
Traditional manual Genesys to Dialogflow CX migration projects run 12 to 24 months depending on IVR complexity. Aumne ACT compresses this to 45 days through automated ingestion of Genesys PureConnect Interaction Architect flows and PureEngage Architect callflows, followed by direct generation of Dialogflow CX flows, pages, intents, and entity definitions. The compression comes from elimination of the manual analysis, documentation, and authoring phases. Migration scope is not reduced.
Book a free assessment. Aumne ACT connects to your current IVR environment and returns a complete migration scope and fixed-fee quote within 5 business days. Google Cloud Partner.
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