ExpandedEvidence: Low25/100

Agent AI Ally: Real-time agent assist and post-call analytics using Amazon Connect and Amazon Bedrock (Cognizant)

Cognizant’s Agent AI Ally is a contact center solution for live agent support, virtual training, and post-call analytics. The solution uses Amazon Connect for call routing and an agent workspace, Amazon Bedrock with Anthropic Claude for generative AI suggestions, Amazon Kinesis Video Streams for real-time audio capture, Amazon Transcribe for speech-to-text, and AWS Lambda for transcription and analytics processing.

Organization
Cognizant
Published
March 2025
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Cognizant
Provider
AWS
Maturity
Unknown
Linked source
AWS Partner Network

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 5

  • 1Agent assist
  • 2Contact center analytics
  • 3Conversation intelligence
  • Calls are routed to agents in Amazon Connect.
  • Real-time call audio is captured with Amazon Kinesis Video Streams and transcribed with Amazon Transcribe.
  • An AI assistant interface uses Amazon Bedrock to suggest follow-up questions and solutions during the call.
  • After calls, AWS Lambda supports analytics that generate summaries, customer sentiment, and call categorization for coaching and performance improvement.
  • The solution also includes virtual training with simulated customer calls.
Architecture

When a customer calls, Amazon Connect routes the call to an available agent. The agent receives the call in the Amazon Connect workspace and simultaneously accesses the Agent AI Ally interface. Amazon Kinesis Video Streams captures the call audio in real time; Amazon Transcribe converts speech to text; Amazon Bedrock’s Anthropic Claude model suggests follow-up questions and solutions during the conversation. After the call, AWS Lambda analyzes the recording and produces post-call analytics in seconds.

Sources & evidence1
Evidence: Low25/100Evidence strength
  • Customer explicitly identified
  • Technical implementation details available
ExpandedExpanded

The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2026.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Type: Blog PostPublished: Mar 12, 2025Publisher: AWSEvidence: VendorConfidence: Medium

AI-generated summary. Verify important details with the linked sources before relying on this case.

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