Normalized claim
Interaction handling capacity: 25% increase
the contact center now handles 25 percent more interactions with the same number of agents
HCLTech modernized its legacy, on-premises contact center environment on AWS to support secure omnichannel service, faster development, and AI-enabled agent support. The company moved from fragmented systems to a single cloud environment using Amazon Connect, adding Contact Lens analytics, Amazon Bedrock-based routing, and Amazon Q in Connect for agent assistance.
Reported outcomes
+25%
interaction handling capacityProductivity & throughput
Strategic outcomes
Normalized claim
Interaction handling capacity: 25% increase
the contact center now handles 25 percent more interactions with the same number of agents
Normalized claim
Average call handling time: 10% decrease
average handling times have decreased by 10 percent
Normalized claim
Agent onboarding time: 60% decrease
from one week to just two or three days
Normalized claim
Client onboarding time: 50% decrease
new client onboarding is now at least 50 percent faster
HCLTech integrated Amazon Connect with Salesforce and ServiceNow, migrated 500 agent seats to validate compliance and performance, then scaled to 8,000 seats
Primary read
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HCLTech replaced fragmented on-premises contact center systems with a single AI-native environment built on Amazon Connect. The deployment added Amazon Connect Contact Lens for real-time transcription, sentiment, and performance analytics; Amazon Bedrock for large-language-model-based routing by language and intent; and Amazon Q in Connect for next-best actions and knowledge retrieval. Amazon Connect was integrated with Salesforce and ServiceNow, and the company used a staged rollout from 500 to 8,000 agent seats.
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