AI-Powered Omnichannel Contact Center Solution

Delivering Intelligent Customer Assistance with Human Oversight

Overview

Customer support teams handle a constant stream of questions across voice, chat, email, and other channels. Responding quickly while knowing when to involve a live representative can be challenging, especially as support volumes grow.

CloudWave developed an AI-powered contact center solution that provides autonomous lower-tier support across voice, chat, email, and text. Built with Salesforce Agentforce, Data Cloud, and MuleSoft, the solution helps organizations respond faster to routine requests while ensuring more complex situations are routed to live representatives.

The Challenge

Modern contact centers must balance growing customer expectations with limited support resources. Routine inquiries can consume valuable time that detracts from availability to help customers facing more complex situations. If experienced representatives are tied up with simple admin tasks, they won’t be able to provide personalized assistance to the customers who really need it.

Organizations also need confidence that AI is using trusted information and can work with their existing business systems. The goal is to improve response times without sacrificing accuracy or making it harder to involve a live representative when needed.

The Solution

CloudWave designed an AI-powered contact center that delivers a unified support experience across voice, chat, email, and text channels. Salesforce Agentforce and Data Cloud allow the solution to provide responses based on approved knowledge sources, while MuleSoft integrations retrieve external information and complete actions when needed.

The solution automatically detects the complexity of requests and assigns tiers to each inquiry. It supports autonomous Tier 0 and Tier 1 assistance while preserving a human-in-the-loop approach for requests that require empathy, judgment, or additional investigation. Rather than relying on hardcoded trigger words, prompt-driven instructions help determine when conversations should remain automated and when they should be transferred to a live representative.

Demonstrating Live AI Support

CloudWave’s solution can be demonstrated through a series of customer service scenarios that highlight both AI-assisted support and human collaboration.

The AI agent interprets customer requests, retrieves information from approved knowledge sources, and uses MuleSoft integrations to complete external actions when needed. For each request, the system determines whether it could resolve the issue automatically or route it to a live representative.

The demonstration also highlights the solution’s human handoff capabilities. Instead of relying only on predefined keywords, the AI evaluates each conversation to determine when a live representative should step in.

To see the demonstration in action, contact our team.

Results

The solution outlines how AI can answer routine questions while making it easy to involve a live representative when additional support is needed.

Key capabilities include:

Autonomous Tier 0 and Tier 1 support
Omnichannel interactions across voice, chat, email, and text
Knowledge grounding through Salesforce Data Cloud
MuleSoft integrations for external actions and information retrieval
Prompt-driven escalation logic
Human handoff for complex or sensitive situations
Consistent responses across communication channels
Configurable AI-assisted customer interactions
Scalable support across multiple customer service programs
AI-powered customer service with human oversight

Rather than replacing live representatives, the solution helps customer support teams spend less time on routine requests and more time assisting customers with complex needs. Human representatives remain available for situations that require additional expertise, giving customers the support they need while allowing routine requests to be handled automatically.

About CloudWave

CloudWave Inc. is a Virginia-based IT consulting firm at the forefront of cloud innovation, with a specialized focus on AI solutions that drive automation, productivity, and smarter decision-making across industries. We deliver end-to-end technology services – from architecture and development to integration and optimization – with deep expertise in Creatio, AI/ML, and next-generation cloud platforms (SaaS, PaaS, IaaS).

Since 2012, CloudWave has been a trusted partner to federal agencies and commercial enterprises, delivering secure, scalable, and cost-effective solutions in both classified and unclassified environments. Our AI-forward approach blends advanced analytics, intelligent automation, and enterprise cloud strategy to help clients modernize operations and accelerate digital transformation.

With over 30 years of combined experience in designing and managing complex, compliant systems, the CloudWave team brings a proven track record of innovation, execution, and impact – from Washington, D.C. to global markets. For more information, get in touch with us here.

Automating IT Service Management with MuleSoft Agent Fabric and Amazon Bedrock

Improving Service Desk Efficiency Through Intelligent Automation

Overview

Organizations often rely on support teams to manage large volumes of routine requests, ranging from policy questions to user access changes and application issues. While many of these requests follow established procedures, they still require manual triage and intervention, leading to delays, inconsistent responses, and unnecessary workloads for support personnel.

CloudWave developed an agentic IT service management (ITSM) architecture designed to automate common support scenarios while maintaining appropriate human oversight and full auditability. By combining ServiceNow, MuleSoft Agent Fabric, Amazon Bedrock, Salesforce, and Amazon Connect, the solution enables requests to be intelligently routed, resolved automatically when possible, or escalated to the appropriate teams when human intervention is required.

The Challenge

Traditional service desk operations often require support teams to spend valuable time handling repetitive requests and manually routing incidents. This can result in delayed responses, service level agreement (SLA) breaches, inconsistent policy interpretation, and customer dissatisfaction.

Organizations need a way to automate routine tasks without sacrificing governance, accuracy, or visibility. At the same time, support teams must maintain complete audit trails and ensure more complex requests are directed to the right personnel.

The Solution

CloudWave designed an agentic ITSM architecture that brings together multiple technologies to support request intake, orchestration, knowledge retrieval, automated actions, and human escalation.

ServiceNow serves as the system of record for incidents and audit history, while MuleSoft Agent Fabric acts as the orchestration layer responsible for determining how each request should be handled. Depending on the type of request, the system can retrieve information from an Amazon Bedrock-powered knowledge base, execute actions within Salesforce, or route incidents to human teams for review and resolution.

Amazon Connect and Amazon Lex provide voice capabilities, allowing callers to interact with the same orchestration framework through phone-based conversations. Every interaction, including work notes, customer comments, transcripts, and audio recordings, is captured within ServiceNow to provide a complete and auditable history.

Proof of Concept Demonstration

CloudWave’s tool demonstrates several scenarios that showcase how the architecture handles different types of service requests.

1. Human-in-the-Loop Escalation

When a request falls outside the scope of automation, the system recognizes that it cannot resolve the issue independently and automatically routes the incident to the appropriate application owner group. This ensures that requests requiring human expertise are assigned to the right team without manual triage.

2. Salesforce Action Automation

The architecture can automate Salesforce administrative requests such as permission set assignments. After any required approvals are obtained, MuleSoft Agent Fabric orchestrates the action, executes the request within Salesforce, and updates the incident with the outcome. The request is completed without requiring manual effort from support personnel.

3. Knowledge Base Automation

For policy-related questions, the system retrieves information from an Amazon Bedrock-powered knowledge base and provides grounded responses based on approved source documents. The response is returned directly to the user and documented within the ServiceNow incident, helping ensure consistent policy communication.

4. Voice-Based Support

Using Amazon Connect and Amazon Lex, callers can ask questions through a voice interface. The system interprets the request, retrieves information from the knowledge base, delivers a spoken response, and automatically creates and resolves the corresponding ServiceNow ticket. Audio recordings and transcripts are preserved as part of the incident record.

Results

The proof of concept demonstrated how agentic automation can support service desk operations while preserving governance and human oversight.

Key capabilities include:

Automated routing of out-of-scope requests
Human-in-the-loop escalation workflows
Zero-touch Salesforce administrative actions
Knowledge base retrieval using Amazon Bedrock
Voice-enabled support through Amazon Connect and Amazon Lex
Consistent policy responses grounded in approved source content
Unified orchestration through MuleSoft Agent Fabric
End-to-end audit trails within ServiceNow
Automatic ticket generation and resolution
Multi-channel support across chat, web, email, and voice

By combining intelligent orchestration with auditability and controlled automation, CloudWave demonstrated a scalable approach to improving service desk operations while ensuring requests reach the right destination with the appropriate level of human involvement.

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Category: MuleSoft Case Studies