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.
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.