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    Accenture Intelligent Call Routing Engine

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    Sold by: Accenture 
    AI-powered, serverless call routing rules engine built on AWS. Enables business users to create and manage complex routing rules through natural conversation - no coding required. Transform how your business manages call routing rules with a fully serverless, AI-native solution built on AWS. Designed as a cost-effective replacement for expensive legacy rules engines, this solution empowers business users across lines of business to create, update, and manage complex call routing rules through natural conversation — no technical expertise required.

    Overview

    Reimagine How Your Business Creates and Manages Call Routing Rules

    For years, enterprises have relied on heavyweight, expensive commercial rules engines to manage call routing logic. These platforms carry steep licensing costs, complex infrastructure requirements, dedicated specialist resources, and slow deployment cycles. This AWS-native, AI-powered Call Routing Rules Engine replaces legacy rules management platforms with a conversational, intelligent, and fully serverless solution - purpose-built on Amazon Web Services and powered by large language models via Amazon Bedrock.

    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.

    Highlights

    • Replace costly commercial rules engines with an AI-powered, fully serverless call routing solution built natively on AWS. Business users across all lines of business create, update, and delete complex routing rules through natural language conversation - no coding, no specialists, no delays. Powered by Amazon Bedrock, Amazon Lex, Lambda, DynamoDB, and OpenSearch for automatic scaling and zero infrastructure management.
    • Structured professional services engagement delivers a production-ready deployment in approximately 10-12 weeks. Includes discovery and scoping, architecture design, serverless infrastructure deployment, bulk rule migration from legacy platforms via Excel ingestion, user acceptance testing, business user training, and operational runbook handoff.
    • Achieve significant cost reductions by replacing legacy rules engine licensing. Deploy routing rules in minutes instead of days. Reduce dependency on specialist resources while empowering business users with self-service rule management through conversational AI and semantic search capabilities.

    Details

    Delivery method

    Deployed on AWS
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    Support

    Vendor support

    Getting Started

    To begin an engagement or request a discovery call, contact the Accenture team at acn.apn@accenture.com . A member of the delivery team will respond to schedule an initial scoping conversation.

    Post-Deployment Support

    Following production deployment, the engagement includes a hypercare period during which the delivery team monitors the solution, resolves issues, and performs optimization. After hypercare concludes, support transitions to your internal team using the operational runbook and training materials provided during the engagement.

    For questions about the solution, troubleshooting assistance, or to discuss additional requirements, contact acn.apn@accenture.com .