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Architecture Diagram
Inspiration
Managing IT incidents in large organizations often involves repetitive manual tasks, delayed triage, and inconsistent resolutions. We wanted to create an intelligent system that could automate these processes and assist IT teams with AI-driven insights, improving both efficiency and accuracy.
What it does
Our solution integrates ServiceNow with AWS Bedrock to build an AI-powered Incident Management System. It automates incident creation, categorization, and prioritization, provides contextual resolution recommendations, and enables natural language interactions through a conversational virtual agent—significantly reducing Mean Time to Resolution (MTTR).
How we built it
We connected ServiceNow’s REST APIs with AWS services using API Gateway, Lambda, and Bedrock Agents. The Bedrock Agent leverages Claude 3 to process incident data, infer context, and recommend solutions. Data and logs are securely stored in S3 and DynamoDB, while CloudWatch handles monitoring. We fine-tuned prompts and integrated the system for bi-directional communication between ServiceNow and AWS.
Challenges we ran into
Complex integration between ServiceNow REST APIs and AWS Bedrock. Ensuring accurate context retention in AI responses. Fine-tuning prompts for reliable incident classification and RCA suggestions.
Accomplishments that we're proud of
Designed a complete end-to-end GenAI architecture integrating ServiceNow and AWS Bedrock. Built automated workflows for incident triage and recommendations. Demonstrated AI’s ability to provide meaningful resolution suggestions and RCA insights. Created a foundation for extending AI into change and problem management.
What we learned
We gained hands-on experience in integrating GenAI with enterprise ITSM tools, designing scalable architectures using AWS services, and understanding prompt engineering for contextual AI interactions. We also learned the importance of balancing project deliverables with hackathon innovation.
What's next for ServiceNow Incident Management using AWS Bedrock AI Agent
Extend AI capabilities to change and problem management modules. Introduce voice-based interactions using Amazon Lex. Implement predictive incident detection from monitoring data. Scale the solution for multi-cloud ITSM environments (AWS, Azure, GCP).
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