AI-Powered Front Door
Handle common customer intents using Amazon Connect before they reach your legacy platform.
Amazon Connect Modernization
Modernize Your Contact Center with AI - Without Migration Risk
Hybrid AI modernization allows you to add Amazon Connect AI capabilities to your existing Cisco, Genesys, NICE, and other legacy CX environments that offer limited or "walled garden" AI capabilities without replacing your current platform.
It automates routine customer interactions using AI while preserving your existing infrastructure, helping you improve customer experience and reduce operational cost without the risk, costs, and time needed for a full migration.
.png)
.png)
.png)
.png)
Amazon Connect Hybrid AI
Modernize with AI Without Replacing Your Platform
Introduce AI-driven self-service using Amazon Connect while your existing contact center continues to support core operations.
The Challenge
Many organizations want to improve customer experience with AI, but legacy platforms, long contracts, and migration risk slow progress.
Legacy platform constraints
Long-term contracts
Limited self-service capabilities
Migration risk
Slow innovation cycles
How We Help
We deploy Amazon Connect as an AI-powered front door that automates routine interactions and integrates with your existing contact center.
Intelligent Self-Service
Use Amazon Bedrock and Amazon Lex to automate high-volume, repeatable customer requests.
Context-Aware Escalation
Transfer complex interactions to your existing environment with full context for a seamless experience.
Hybrid Integration
Preserve your existing routing, telephony, and backend systems while introducing AI capabilities.
How It Works
A structured approach to introducing AI into your contact center without disrupting existing operations.
1
Assess
Review routing, telephony, integrations, and high-volume customer intents.
2
Design & Implement
Build the Amazon Connect overlay with AI self-service and escalation paths.
3
Optimize & Expand
Refine automation, improve accuracy, and expand use cases over time.
What You Get
Everything needed to design, deploy, and operationalize a hybrid AI contact center model.
Discovery & Assessment
Evaluate your current routing, integrations, and high-volume customer intents to identify where AI can deliver immediate value.
Hybrid Architecture Design
Design an Amazon Connect overlay that integrates with your existing platform while enabling AI-driven self-service and escalation.
AI Workflow Development
Build contact flows and AI-powered interactions using Amazon Lex and Bedrock to automate routine customer requests.
Integration & Escalation
Connect workflows to your existing routing, telephony, and backend systems with seamless, context-aware transfers.
Testing & Launch Support
Validate performance, tune AI interactions, and support a phased rollout to ensure a smooth production launch.
Aegis CX Managed Services Onboarding
Optionally onboard into Aegis CX managed services for ongoing performance management, incident response, and continuous improvement.
Expected Outcomes
Deliver measurable improvements in efficiency, experience, and modernization speed.
- Reduced live-agent demand for routine interactions
- Faster adoption of AI-driven customer experiences
- Improved containment and self-service rates
- Better use of existing platform investments
- Lower modernization risk through phased adoption
Best Fit For
This solution is ideal for organizations looking to introduce AI without full platform replacement.
- Organizations using Cisco, Genesys, NICE, or other legacy CX platforms
- Teams not ready for full migration
- Environments with high interaction volume
Choosing the Right Approach
Where a Hybrid AI Overlay Fits in Your CX Strategy
There are multiple ways to modernize a contact center. A hybrid AI overlay is one option, but not always the starting point. These approaches outline when to introduce Amazon Connect alongside your existing platform versus taking a different path.
Recommended
Hybrid AI Overlay (Amazon Connect Front Door)
Introduce AI Now Without Platform Replacement
Deploy Amazon Connect in front of your existing Cisco, Genesys, or NICE environment to automate high-volume interactions while preserving your current routing and agent workflows.
Best Fit
- Organizations with active legacy platform investments
- Teams needing immediate AI-driven self-service
- Environments with high-volume, repeatable customer intents
- CX leaders looking to reduce risk while modernizing
Tradeoffs
- Requires integration between Amazon Connect and existing systems
- Introduces a hybrid operating model across platforms
- Some workflows may need redesign for AI-driven interactions
IVI Recommendation
Start with clearly defined, high-volume use cases such as order status or account updates. Use the overlay to validate AI performance and expand coverage over time before committing to broader transformation.
Full Migration to Amazon Connect
Replace legacy platforms with a unified cloud CX model
Move fully to Amazon Connect to consolidate routing, agent experience, and AI capabilities into a single cloud-native platform.
Best Fit
- Organizations nearing contract renewal or platform exit
- Teams ready to redesign routing and workflows end-to-end
- Environments seeking full consolidation of CX systems
- Leaders prioritizing long-term platform standardization
Tradeoffs
- Higher upfront effort and organizational change
- Longer time to value compared to overlay approach
- Requires full migration planning and execution
IVI Recommendation
Use this approach when timing aligns with contract cycles or broader transformation initiatives. In many cases, starting with a hybrid overlay can reduce risk and inform the migration strategy.
Phased Modernization Strategy
Start with overlay, transition over time
Begin with a hybrid AI overlay and gradually migrate workflows, routing, and capabilities into Amazon Connect over time.
Best Fit
- Organizations planning long-term migration but needing immediate results
- Teams balancing innovation with operational stability
- Environments requiring staged transformation
Tradeoffs
- Requires managing both overlay and migration strategy
- Longer path to full platform consolidation
- Ongoing coordination between systems during transition
IVI Recommendation
Use this approach when you need both immediate AI value and a long-term path to cloud. It provides flexibility while reducing risk across the transition.
Proof Points
Proof Points
See how hybrid AI modernization delivers practical value without requiring a full platform migration.
AI-Powered Front Door
Modernize without replacing your platform
Use Amazon Connect as the first point of interaction to introduce AI-driven self-service while your legacy contact center remains in place.
Scenario
Customers call or chat for common requests such as order status, account updates, or basic service inquiries.
Systems Involved
Amazon Connect, Amazon Lex, Amazon Bedrock, existing CRM/EMR/ITSM, Cisco/Genesys/NICE platform, SIP/telephony integration
Outcome
Routine interactions are resolved before reaching agents, reducing call volume and improving response times
Why IVI
Intelligent Visibility has deep expertise across both legacy contact center platforms and Amazon Connect enables seamless front-door integration without disrupting existing operations.
Intelligent Self-Service
Automate high-volume customer requests
Use conversational AI (Amazon Bedrock and Amazon Lex) to resolve common customer needs through natural language interactions.
Customers need to complete repeatable tasks like checking order status, resetting credentials, or scheduling services.
Systems Involved
Amazon Lex, Amazon Bedrock, AWS Lambda, CRM systems, backend APIs (billing, scheduling, account systems)
Outcome
Higher containment rates and reduced agent workload by automating multi-step customer interactions. Improved customer experience.
Why IVI
We design and tune AI workflows with real business logic and integrations, ensuring automation works in production, not just as a demo.
Seamless Legacy Integration
Preserve routing, telephony, and agent workflows
Integrate Amazon Connect with your existing routing and telephony environment instead of forcing a disruptive platform replacement.
Scenario
A customer starts in AI self-service but requires escalation to a live agent for a more complex issue.
Systems Involved
Amazon Connect, SIP trunks, Cisco UCCX/UCCE or Genesys/NICE, routing engines, agent desktops
Outcome
Customers are transferred with context, eliminating repetition and maintaining a consistent experience.
Why IVI?
Our engineering-led approach ensures interoperability between cloud and legacy environments, minimizing friction during hybrid operations.
Lower-Risk Modernization
Adopt AI-first CX in Phases
Introduce AI incrementally with a rollout model that reduces disruption and provides a controlled path to modernization.
Scenario
Organizations want to modernize CX but cannot commit to a full platform migration due to cost, risk, or timing.
Systems Involved
Amazon Connect, existing contact center platforms, AWS services, CI/CD pipelines, testing and staging environments
Outcome
Faster time to value with reduced risk, allowing teams to validate and expand AI use cases over time.
Why IVI
We combine migration strategy, automation, and operational expertise to deliver phased modernization aligned to business priorities.
Frequently Asked Questions
What is hybrid AI modernization for a contact center?
It is an approach that adds Amazon Connect AI capabilities to an existing contact center platform instead of replacing the whole platform first.
Do we need to migrate off Cisco or Genesys right away?
No. This offer is designed for organizations that want AI benefits now while keeping their current platform in place.
What types of interactions can be automated first?
Common examples include account questions, appointment requests, order status, password resets, and other routine intents.
Can calls transfer back to our existing agents?
Yes. The design supports routing complex interactions back to your current environment with context.
How quickly can this be deployed?
That depends on scope and integrations, but this approach is usually much faster than a full platform migration, often as quickly as a few weeks.
Is this only for voice?
Voice is usually the first use case, but by design the effort expended in building out the solution will enable ChatBots and other omnichannel CX workflows depending on your environment.
What can modern AI-agents do?
Truly conversational AI agents can offload tasks that are repetitive and time consuming in ways that older approaches couldn't. Things like appointment scheduling, location finding with inventory, checks, and more. For some examples check out our AI Agents soluton page.