- Home
- What we do
- Amazon Connect Service
Amazon
Connect Service
Amazon Connect is a scalable, cloud-based contact center that enables seamless, efficient, and personalized omnichannel customer service. We specialize in deploying and customizing Amazon Connect to transform customer engagement and elevate service excellence.
Improved Customer Experiences
Increased Self-Service Capabilities
Operational & Cost Efficiency
Key Features
Comprehensive
Consultation
We start by understanding your unique business needs and customer service goals. This initial consultation helps us tailor Amazon Connect to meet your specific requirements.
Seamless
Implementation
We manage end-to-end Amazon Connect setup with minimal disruption, including training and seamless cutover from legacy systems.
Custom
Integration
We integrate Amazon Connect with your systems (CRM, CMS, LMS) and AWS services to build a seamless, intelligent, and efficient contact center solution.
Ongoing Support and Optimization
We offer ongoing support, monitoring, optimization, and phased integrations to keep your contact center running efficiently and delivering strong ROI beyond initial implementation.
Why Previse?
Navigating the intricacies of Amazon Connect requires a deep understanding of its capabilities and potential. As a certified Amazon Connect partner, our team of Connect experts brings a wealth of knowledge and hands-on experience to every engagement, ensuring our clients fully leverage all the capabilities Amazon Connect has to offer. Whether a simple deployment and setup, or a more complex and integrated deployment, Previse will advise, plan, and collaborate with you every step of the way. From sizing and deploying, to setting up reporting, and properly leveraging the full stack of services including Amazon Lex, Contact Lens, Lambda, and Q to deliver impactful customer experiences and create operational efficiencies not possible with legacy contact center solutions.
Case Studies
Insurance
Legacy System Migration
Initial vendor’s migration automation to the new EIS platform failed in over 90% of data loads, causing major delays and client frustration