Revolutionizing Telecom with AI: Automating Change Requests at Totogi
This post is cowritten by Nikhil Mathugar, Marc Breslow, and Sudhanshu Sinha from Totogi.
In this blog post, we’ll dive into how Totogi’s BSS Magic leverages AI to streamline change request processing for telecom companies, ultimately accelerating innovation and reducing operational costs.
Automating Change Request Processing: How Totogi is Transforming the Telecom Landscape
This post is co-written by Nikhil Mathugar, Marc Breslow, and Sudhanshu Sinha from Totogi.
In today’s fast-paced telecommunications sector, traditional business support systems (BSS) are proving to be obstacles rather than enablers of growth. With a complex web of legacy applications, telco companies often find themselves grappling with long development cycles, high operational costs, and limited flexibility. Enter Totogi—an AI innovator focused on equipping telecom companies with tools to thrive in this challenging environment.
Our flagship product, BSS Magic, leverages advanced AI to streamline and automate change request processing. Partnering with the AWS Generative AI Innovation Center and employing the rapid innovation capabilities of Amazon Bedrock, we have reimagined how telecom operators can manage their technology stacks, innovate faster, and gain greater autonomy.
Challenges with BSS
Managing a traditional BSS stack often resembles a double-edged sword for telecom operators. The complexity arises from juggling hundreds of applications from various vendors, leading to integration issues that either lock companies into vendor ecosystems or mandate costly customizations. The slow and resource-intensive nature of these customizations complicates the situation further, requiring specialized engineering talent that is increasingly scarce.
Each change request entails exhaustive analysis, potentially affecting various interconnected modules, consuming valuable time and resources. Even minor updates can result in extended coding, testing, and reconfiguration, affecting the overall system reliability which is critical for service delivery. The resulting technical debt and inflated operational expenses often leave telco companies struggling to keep pace with evolving market demands.
BSS Magic Solution Overview
BSS Magic aims to cut through this complexity using a framework grounded in advanced AI-generated interoperability. The product’s core is defined by two primary aspects:
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Telco Ontology: A semantic model to comprehend and relate disparate data structures, enabling seamless integration across vendor systems.
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Multi-Agent Framework: An automation engine that processes change requests in record time—reducing processing times from 7 days to mere hours.
The Role of Telco Ontology in Interoperability
At its essence, our telco ontology serves as a semantic blueprint, offering clarity on the relationships and interactions between various telecom data points. This approach transforms static, siloed data into dynamic assets, following FAIR principles (Findability, Accessibility, Interoperability, and Reusability).
By implementing a standardized model, operators can unlock potential hidden in their data and foster innovation rapidly.
Multi-Agent Framework for Automated Change Requests
BSS Magic’s AI agents are specialized entities designed to autonomously manage intricate data interactions without human intervention, significantly transforming traditional workflows. The multi-agent approach utilizes feedback loops to optimize the entire software development pipeline:
- Business Analysis Agent: Converts unstructured requirements into formal business specifications.
- Technical Architect Agent: Designs technical architectures and APIs based on these specifications.
- Developer Agent: Generates deployable code, ensuring modularity and optimizations.
- QA Agent: Validates code quality and adheres to best practices.
- Tester Agent: Generates comprehensive unit test cases to ensure robust validation.
This integrated pipeline reduces change request completion time drastically, promoting enterprise-grade reliability and security—particularly vital in the telecom sector.
Orchestration and Workflow Management
The orchestration layer coordinates these specialized AI agents using AWS Step Functions and Lambda functions, ensuring a seamless process flow through robust state management and audit trails. This layer maintains effective communication between agents while utilizing few-shot prompting techniques to achieve accurate, domain-specific outputs.
Business and Technical Architecture Generation
Each AI agent is designed to generate structured outputs. For instance, the Technical Architect Agent translates requirements into AWS service configurations, ensuring compliance with architectural best practices. By fostering an efficient feedback loop, operators can experience rapid iteration and enhanced quality in code generation.
Automated Quality Assurance and Testing Framework
Quality assurance in BSS Magic is indispensable. The QA Agent utilizes advanced evaluation prompts to analyze code against established quality metrics, offering actionable feedback to developers. The robust Tester Agent interprets testing contexts to generate comprehensive test suites, achieving over 76% code coverage and validating both functional and non-functional requirements.
Conclusion: The Future of Telecom with BSS Magic
The integration of Totogi BSS Magic with Amazon Bedrock heralds a new era for telco operators. With end-to-end automation, operators can expedite their development cycles and reduce operational costs, allowing them to focus on strategic initiatives rather than get bogged down in complex integrations.
Key Takeaways:
- End-to-End Automation: Transition from concept to deployment seamlessly, with AI agents managing every phase.
- Efficiency Gains: A significant reduction in change request processing time boosts responsiveness to market dynamics.
- Unique Value Proposition: Telecom operators using BSS Magic can realize accelerated time-to-market and reduced costs.
- Broader Applications: While tailored for telecom, the multi-agent framework’s versatility opens doors for use in other industries as well.
As we look to the future, our plans include enhancing domain knowledge further and integrating predictive AI capabilities to mitigate common pitfalls in change requests.
We invite your feedback and questions in the comments section below. If you’d like to engage with the AWS Generative AI Innovation Center or learn more about how BSS Magic can transform your operations, don’t hesitate to reach out!
About the Authors
Nikhil Mathugar: A full-stack engineer at Totogi with over a decade of experience, focused on scalable systems and AI integration.
Marc Breslow: Field CTO at Totogi, leveraging AI to revolutionize telecom efficiency and performance.
Sudhanshu Sinha: CTO and founding member at Totogi, leading the charge in making AI-driven transformation practical for telcos worldwide.
Join us in this exciting journey as we reshape the telecommunications landscape, one automated change request at a time!