Accenture Intelligent Call Routing Engine

## Engagement Overview

This professional services engagement delivers a fully deployed, production-ready AI-powered call routing rules engine in your AWS environment. The typical engagement follows a structured delivery path:

**Phase 1 - Discovery and Scoping (Weeks 1-2)**

• Assessment of current call routing rules, volumes, and complexity
• Review of existing rules engine platform and migration requirements
• Architecture design aligned to your AWS environment
• Deliverable: Solution architecture document and migration plan

**Phase 2 - Build and Migration (Weeks 3-8)**

• Deployment of serverless infrastructure (Lambda, Lex, DynamoDB, OpenSearch, Bedrock)
• Configuration of conversational AI agent for your business context
• Bulk migration of existing rules via Excel-based ingestion
• Deliverable: Deployed solution in staging environment with migrated rule set

**Phase 3 - UAT and Go-Live (Weeks 9-10)**

• User acceptance testing with business stakeholders
• Training sessions for business users on conversational rule management
• Production cutover and validation
• Deliverable: Production deployment, training materials, and operational runbook

**Phase 4 - Hypercare (Weeks 11-12)**

• Post-deployment monitoring and issue resolution
• Performance tuning and optimization
• Knowledge transfer and handoff to internal teams
• Deliverable: Handoff documentation and support transition plan

## The Problem With Legacy Rules Engines

Traditional commercial rules engines require highly specialized resources to translate business requirements into rule logic, introduce lag between a business need arising and a rule being deployed, and carry licensing costs that can exceed USD 1 million per year. Business teams must document requirements in Excel templates, hand them off to technical resources, wait for validation, and then wait again for deployment - every step an opportunity for miscommunication, delay, and added cost.

## Key Capabilities

• **Conversational Rule Management:** Create, update, and delete call routing rules through a natural language chat interface. No forms, no templates, no specialist knowledge required. Business users manage their own rules independently and in real time.
• **Simple to Complex Rules:** From single-condition routing to sophisticated logic involving hundreds of conditions and actions across customer attributes, time windows, and agent availability.
• **Excel-Based Bulk Ingestion:** Supports bulk rule creation via Excel upload for organizations migrating from legacy platforms, ensuring a smooth transition without disrupting existing workflows.
• **Semantic Search and Vector Intelligence:** Powered by Amazon Bedrock and OpenSearch, the solution generates vector embeddings enabling semantic search, rule deduplication, conflict detection, and contextual retrieval.
• **Fully Serverless Architecture:** Built on AWS Lambda, Amazon Lex, DynamoDB, OpenSearch, and Amazon Bedrock - scales automatically, requires zero infrastructure management, and follows a pay-as-you-go model.
• **Enterprise Security:** All data encrypted at rest and in transit. Fine-grained access controls and full audit trails provide governance across all lines of business.

## Prerequisites and Buyer Responsibilities

To ensure a successful engagement, buyers should have:

• An active AWS account with appropriate permissions for service deployment
• An existing or planned Amazon Connect environment (or equivalent contact center platform)
• Documentation of current call routing rules (Excel format preferred for bulk migration)
• A designated project sponsor and business stakeholders available for discovery and UAT
• Internal IT resources available for environment access and security review

## Scope Considerations

This engagement covers call routing rule management. Non-call-routing rule types, custom integrations with third-party contact center platforms outside Amazon Connect, and modifications to upstream telephony infrastructure are out of scope unless explicitly agreed during discovery.

It's being considered that client already has AWS account provisioned and have CICD pipeline and IaaC modules already available. Therefore the time required to setup all these is not included in the timeline mentioned above.