Avaya Migration Options in 2026:
Amazon Connect vs. Genesys Cloud vs. Google CCAI,
Real Costs, and How to Pick a Partner

Two Decisions Drive Your Whole Budget

Avaya migration in 2026 means choosing both a destination platform and a delivery approach, and those two decisions drive your costs more than Avaya's end-of-life pressure itself.

This guide compares the three leading migration targets, breaks down what an Avaya to CCaaS migration actually costs, explains how Avaya Vector and Aura logic transfers, and gives you a concrete checklist for vetting a migration partner. Not just a vendor's pitch deck.

Avaya Alternatives in 2026: Platform Comparison

The right Avaya alternative depends on your existing cloud investment in your organization or across different applications, not just a feature checklist. AWS shops fit Amazon Connect, Google Cloud shops fit CCAI, and platform-agnostic teams often default to Genesys Cloud CX.

Genesys Cloud CX earned a Leader spot in the Gartner Magic Quadrant for Enterprise Conversational AI Platforms, and Google Cloud has held that same recognition, which tells you both platforms carry real analyst validation, not just vendor marketing (Google Cloud, 2023).

Avaya to Amazon Connect Migration: What It Involves

An Avaya to Amazon Connect migration replaces Avaya vectors and skills with Amazon Connect contact flows, using Amazon Lex for natural-language self-service.

• AWS provides prescriptive, phased migration guidance built specifically for on-premises Avaya contact centers, first published in 2023 and kept current since (AWS Prescriptive Guidance, 2023 to 2025).
• Amazon Connect uses pay-as-you-go pricing with no seat minimums, upfront license charges, or peak-capacity billing (AWS, 2026).
• Certified AWS partners such as NeuraFlash and Futran Solutions offer discovery-through-deployment professional services if you want an SI-led build (AWS Marketplace, 2026).

Amazon Connect is the strongest fit if your organization already runs AWS infrastructure. Lambda, Lex, and Connect integrate natively without needing a separate CCaaS vendor relationship.

Avaya to Genesys Cloud Migration: What It Involves

An Avaya to Genesys Cloud migration moves IVR, routing, and digital channels onto Genesys Cloud CX, typically alongside a certified Genesys partner.

1. 01
   Assess the existing Avaya, Cisco, or Genesys Engage estate and define a migration strategy scoped to business units.
2. 02
   Design Genesys Cloud CX IVR, routing flows, digital channels, and workforce engagement in parallel with the legacy system.
3. 03
   Execute the migration plan against compliance, security, and governance requirements.
4. 04
   Enable AI-powered and omnichannel capabilities once core routing is validated on the new platform.

Genesys Cloud CX bundles workforce engagement management directly into the platform. That's why partners such as Avtex describe it as giving unified visibility and cost control that fragmented point solutions don't (Avtex/Genesys, 2020). Genesys focuses primarily on cloud-based delivery, which suits teams ready to fully exit on-premises infrastructure rather than run a hybrid model (StackShare, 2026).

Avaya to Google CCAI Migration: What It Involves

An Avaya to Google CCAI migration rebuilds IVR logic as Dialogflow CX virtual agents inside Google's unified CCAI Platform, which also handles omnichannel routing and agent assist.

• CCAI Platform is purpose-built to work alongside CRMs, giving a single source of truth for the customer journey during and after migration (Google Cloud, 2026).
• The platform bundles Dialogflow CX, omnichannel routing, and Agent Assist into one deployment, cutting the vendor-coordination overhead of stitching together separate NLU and routing tools (Google Cloud, 2024).
• Google Cloud was named a Leader in the 2023 Gartner Magic Quadrant for Enterprise Conversational AI Platforms (Google Cloud, 2023).

This path suits enterprises already standardized on Google Cloud or planning to adopt Gemini Enterprise for CX, since CCAI Platform is built as part of that same product family rather than bolted on as an integration.

Migrating Avaya Aura and Vector Logic to the Cloud

Avaya Vector and Aura routing logic transfers to any cloud platform through one of three approaches: as-is migration, AI transformation, or a greenfield rebuild.

As-Is Migration

Every flow, rule, skill, and Vector step is preserved exactly as built, then re-hosted on the target platform. This is the lowest-risk starting point for complex, hand-tuned Avaya Vector estates, because no business logic gets reinterpreted during the move.

AI Transformation

DTMF menus and scripted Vector steps convert into NLU-powered conversational flows on Amazon Lex, Dialogflow CX, or Genesys Digital Bot Flows. Containment typically improves, since AI-native platforms report 60 to 70% self-service containment versus 20 to 35% on legacy IVR (Aumne AI, 2026).

Greenfield Generation

Flows get generated directly from current business requirements rather than ported from Avaya at all. This suits Vector estates with years of undocumented, redundant, or dead-end logic that a straight port would only carry forward.

Avaya Aura environments with heavy Breeze or Oceana customization need extra attention during discovery, since those custom applications often hold business logic that isn't visible in the Vector itself.

Avaya EOL Replacement: A Decision Framework

Migrating off Avaya contact center infrastructure comes down to four decision points, in this order.

1. 01
   Estate complexity.

   The count of Vectors, skills, DIDs, and custom integrations determines whether as-is migration or a rebuild makes sense.
2. 02
   Existing cloud investment.

   AWS shops lean Amazon Connect, Google Cloud shops lean CCAI Platform, and platform-agnostic teams evaluate Genesys Cloud CX on its own merits.
3. 03
   Delivery model.

   Manual SI-led rebuild versus an AI platform-led migration changes both cost and timeline by an order of magnitude.
4. 04
   Cutover risk tolerance.

   Confirm the replacement approach supports parallel running and zero-downtime cutover before you commit.

Enterprises running Avaya Aura or Contact Center with thousands of DIDs, like the Workplace Options deployment migrated by VIS Networks, typically need the as-is path first, with AI transformation layered in after cutover (Aumne AI, 2026).

Avaya to CCaaS Migration Cost: What You'll Actually Pay

An Avaya to CCaaS migration carries two separate cost lines: ongoing platform licensing, and one-time migration or professional-services cost. Vendors rarely present both together, which is exactly how budgets get blindsided.

Platform licensing (ongoing, per agent/seat/month)

Migration and professional-services cost (one-time)

• Manual SI-led migrations are quoted per statement of work and scale with Vector count, integration complexity, and business-unit count. AWS Marketplace partners such as NeuraFlash and Futran Solutions price these individually rather than publishing rate cards (AWS Marketplace, 2026). For an enterprise estate with dozens of Vectors and several integration points, that kind of time-and-materials build routinely lands in the low-to-mid six figures once discovery, integration, testing, and cutover support are all billed by the hour.
• Set against that, AI platform-led migration through Aumne ACT starts at a $25,000 fixed fee, with delivery in 45 days regardless of Vector count, because flow discovery and generation are automated instead of billed hour by hour.
• Every month a legacy IVR stays live during a drawn-out manual migration adds cost on top of the eventual bill: live-agent calls run $6 to $12 versus $0.25 to $0.50 per AI-resolved interaction (Aumne AI, 2026).

The fastest way to get an accurate number for your own estate is a scoped assessment against your actual Vector count and integration list, not a per-seat rate card. Migration cost is driven by complexity, not agent headcount.

How to Choose the Best Avaya Migration Partner

The best Avaya migration partner for your organization satisfies five criteria, in priority order.

1. 01
   Vector-logic preservation.

   Ask for a specific answer on how the partner captures and preserves existing Vector and Aura business rules, not a generic "we migrate everything" claim.
2. 02
   Fixed-fee or transparent pricing.

   Open-ended time-and-materials SOWs make budget approval and vendor comparison difficult. Fixed-fee delivery removes that risk.
3. 03
   Zero-downtime cutover methodology.

   The partner should run legacy Avaya and the new platform in parallel and cut over only after validated performance, not on a fixed calendar date.
4. 04
   Platform breadth.

   A partner certified across Amazon Connect, Genesys Cloud CX, and Google CCAI can recommend the right destination instead of steering you toward the one platform they know.
5. 05
   Named reference deployments.

   Ask for a comparable Avaya Vector or Aura migration with a verifiable timeline and outcome, such as Aumne ACT's 42-day delivery for Agnoshin Technologies x Africa Telecom, or the multi-business-unit Avaya Vector migration for VIS Networks x Workplace Options.

Traditional systems integrators bill by the hour and rebuild flows manually, which is why typical timelines run 6 to 12 months. Platform-led providers like Aumne ACT automate discovery and generation instead. That's the structural reason a 45-day, fixed-fee delivery is possible where an SI quote isn't.

The Destination Matters Less Than the Delivery Model

The platform you migrate to matters less than most vendors imply. Amazon Connect, Genesys Cloud CX, and Google's CCAI Platform are all enterprise-grade destinations, and the right one follows your existing cloud investment. What actually determines your cost and timeline is the delivery model: manual, SI-led rebuilds run 6 to 12 months, bill by the hour, and routinely land in six figures once you add up discovery, integration, and cutover work. AI platform-led migration compresses that to 30 to 45 days at a fixed fee starting from $25,000.

If your Avaya Vector estate is complex, start with an as-is migration to preserve business logic before layering in conversational AI, and get a scoped number instead of a rate card. That's exactly what Aumne ACT is built to do: automate the discovery and flow-generation work that normally eats months of an SI's time, so you get a fixed price and a 45-day delivery window instead of an open-ended statement of work.

Read next: Avaya End of Life 2026 guide