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PwC USAug 2024 – Sep 2025AWS Conversational AI & Contact Center Engineer

Business Rules Engine Migrated to AI-Powered Chatbot on AWS

Replaced a rigid web admin console with a real-time conversational layer — no redeployments needed.

The Problem

A legacy web-based Business Rules Admin Console required code deployments for every rule change, causing delays and operational overhead. There was no self-service channel for customers — all queries were handled by live agents reading from the same static rule set.

Project Overview

Migrated a business rules Web Admin Console to an AI-powered chatbot using Amazon Lex, Lambda, DynamoDB, and Amazon Connect. Designed a real-time architecture where admin-edited business rules and text prompts are instantly available to customers via voice and chat — no deployment required.

The solution uses Amazon Lex for intent detection, AWS Lambda for dynamic rule resolution, Amazon DynamoDB (with DAX caching) as the shared source of truth, and Amazon Connect for omnichannel access across voice and web chat. The existing admin console was kept intact; a conversational layer was added that reads from the same database. When an admin publishes a rule change, the IVR flows reflect it within seconds.

Response latency was brought under 2 seconds through Lambda caching and DynamoDB DAX, enabling real-time, responsive customer interactions at scale.

Key Outcomes

  • Response latency under 2 seconds via Lambda caching and DynamoDB DAX
  • Zero-deployment rule updates — admin publishes once, IVR reflects changes in seconds
  • Omnichannel support: voice (Amazon Connect) and web chat from a single rule engine
  • Preserved existing admin console; conversational layer added non-intrusively
  • Intent-driven architecture via Amazon Lex for accurate rule resolution

Technologies & Skills

Amazon ConnectAmazon LexAWS LambdaAmazon DynamoDBDynamoDB DAXAmazon S3Amazon SESContact Center as a Service (CCaaS)

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