# Migrate Legacy IVR to Amazon Connect in 45 Days **Source URL:** https://aumne.ai/amazon-connect **Summary:** Aumne ACT is an AWS Partner platform that automatically discovers legacy IVR logic (from Avaya, Cisco, Genesys, Nuance, or custom VXML) and generates native Amazon Connect Contact Flows, at a fixed fee starting from $25,000 with a 45-day delivery timeline. ## Why Amazon Connect Amazon Connect is a cloud-native contact center service with serverless architecture, elastic scaling, and deep AWS ecosystem integration. For enterprises modernizing legacy IVR, it eliminates per-seat licensing and puts conversational AI within reach on day one. - **Pay-per-use cost model.** No per-agent seat licenses, no annual minimums; contact centers with variable call volumes see immediate cost-structure improvements versus capacity-billed on-premise systems. - **AI-native voice and NLU.** Amazon Lex powers NLU directly within Contact Flows; Amazon Transcribe handles real-time speech-to-text; Amazon Comprehend adds sentiment analysis — all managed within AWS IAM and VPC, no third-party NLU vendor required. - **Full AWS ecosystem integration.** Lambda functions handle custom business logic and CRM integration; Kinesis Data Streams export contact trace records; S3 stores call recordings; DynamoDB or RDS back customer data lookups. - **Elastic scaling, zero ops.** Fully serverless — scales to peak call volumes without capacity planning, no telephony hardware or media servers to manage, no software upgrades. ## Migration Process **Phase 01 — Automated Discovery and Ingestion.** ACT connects to the source IVR on Day 1 and ingests the complete environment: VXML documents, VDN routing tables, call flow graphs, integration endpoints, DTMF menus, speech grammars, exception handlers, and transfer targets. No manual documentation required; every artifact is catalogued with relationship mapping before transformation begins. **Phase 02 — Contact Flow Generation and Validation.** ACT transforms the discovered logic into native Amazon Connect Contact Flows. Business rules, routing conditions, queue assignments, and integration calls map to equivalent Amazon Connect constructs. Amazon Lex intent definitions are generated from discovered speech grammars and DTMF menu structures; Lambda integration stubs are produced for each external system call. Every generated flow is validated against the discovered source before UAT. **Phase 03 — UAT, Cutover, and Go-Live.** Generated flows deploy to an Amazon Connect instance for structured UAT against the source environment, with test cases generated from discovered call paths. Discrepancies are resolved in the generated flows, not by rewriting them. Cutover retains rollback capability until production stability is confirmed; no downtime window is required for most migration patterns. ## What ACT Generates for Amazon Connect Contact Flow JSON, Amazon Lex Intents, Lambda Integration Hooks, Kinesis Config, Queue Routing Rules, Prompt Audio Mapping, Hours of Operation, Contact Attributes, Transfer Flows, Error Handler Flows. Every output artifact is native to Amazon Connect: importable, version-controllable, and ready for the customer's team to own after cutover. ## Migration Risk Elimination The four failure modes of manual IVR migration, and how ACT addresses each: - **Undocumented flow loss** — ACT ingests the live environment, not documentation. What runs is what gets captured. - **Integration breakage** — every external call in the source IVR is mapped; Lambda stubs preserve the interface contract. - **Extended cutover window** — parallel-run capability and generated rollback flows keep the legacy system available until production stability is confirmed. - **Failed UAT cycles** — test cases are generated from discovered call paths, validating generated output against source behavior rather than human assumptions. ## Source Platforms Supported - **Avaya → Amazon Connect:** VXML documents, VDN routing, AEP flows, Orchestration Designer graphs, Experience Portal intents — all ingested and transformed to native Contact Flows. - **Cisco → Amazon Connect:** CVP VXML applications, UCCE scripting, UCCX workflow editor logic, and ICM routing scripts fully parsed; queue and skill group mappings preserved. - **Genesys → Amazon Connect:** PureConnect Interaction Architect flows and PureEngage Architect callflows ingested; interaction attributes, route points, and data actions mapped to Contact Flow equivalents. - **Nuance → Amazon Connect:** Nuance SpeechWorks grammars, NMS application logic, and VXML-based call flows parsed; speech grammar structures inform Amazon Lex intent generation. - **Custom VXML → Amazon Connect:** Bespoke VXML systems and vendor-specific dialects supported; the ACT parser handles standard VXML 2.0/2.1 with common extension patterns. ## What Gets Migrated **Call flow and routing logic:** all VXML documents and application flow graphs; DTMF menu structures and digit capture logic; speech recognition grammars and intent definitions; conditional routing branches and business rules; queue routing, skill-based routing, and priority logic; transfer targets (internal, external, overflow); callback and scheduled return call logic; hours of operation and holiday schedules; announcement and prompt sequencing; caller ID-based and data-directed routing. **Integrations and system calls:** CRM screen pop and data lookup integrations; account authentication and verification flows; backend REST and SOAP web service calls; database query and data dip integrations; payment IVR and PCI scope isolation logic; agent handoff context and call attribute passing; recording consent and legal disclosure flows; exception handlers and error recovery branches; no-input and no-match timeout handling; multi-language and locale-specific routing. ## Results - **45 days** from kickoff to Amazon Connect production - **$25,000** fixed fee starting point, no time-and-materials surprises - **AWS Partner** — verified Amazon Connect implementation partner - **90%** artifact capture rate across flows, rules, and integrations ## Frequently Asked Questions **How do I migrate my legacy IVR to Amazon Connect?** Aumne ACT connects to the existing IVR on Day 1 and performs automated discovery of every flow, routing rule, integration endpoint, and exception handler, then generates native Amazon Connect Contact Flows directly from the discovered logic — no blank-canvas rebuild phase. The full process from discovery to production cutover takes 45 days at a fixed fee from $25,000. **How long does an Avaya to Amazon Connect migration take?** Traditional manual Avaya-to-Amazon-Connect projects typically run 9-18 months with no guaranteed output fidelity. Aumne ACT compresses this to 45 days by automatically ingesting Avaya VXML, VDN routing tables, AEP flows, and Orchestration Designer logic, then generating equivalent Amazon Connect Contact Flows — the reduction comes from eliminating manual analysis and authoring phases, not from cutting scope. **Does Aumne ACT generate native Amazon Connect Contact Flows?** Yes. ACT produces Contact Flow JSON representing the actual business rules discovered from the source environment, not a generic template. Business rules, routing conditions, queue assignments, transfer targets, and integration call signatures are all reflected in the output, which is importable directly into Amazon Connect and ready for UAT. **What legacy IVR platforms can Aumne migrate to Amazon Connect?** Avaya (VXML, VDN, AEP, Orchestration Designer), Cisco (CVP, UCCE, UCCX), Genesys (PureConnect, PureEngage), Nuance (SpeechWorks, NMS), and custom VXML systems. Each source platform has platform-specific artifact handlers; the output in every case is native Amazon Connect Contact Flows. ## Related Pages - [ACT Platform overview](https://aumne.ai/) - [Avaya Migration](https://aumne.ai/avaya-migration) - [Cisco Migration](https://aumne.ai/cisco-migration) - [Genesys Migration](https://aumne.ai/genesys-migration) - [Dialogflow CX Migration](https://aumne.ai/dialogflow-cx) - [Book a free assessment](https://aumne.ai/contact) ## Contact - Email: hello@aumne.ai - Phone: +1-442-302-4441