AI and agents in next-generation assurance
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This research examines current and future requirements for AI and ML in service assurance as telcos move towards self-healing networks supported by agentic AI.
Description
Format: PDF file
Pages: 24
Author: Charlotte Patrick
Publication date: November 2025
This research examines current and future requirements for AI and ML in service assurance as telcos move towards self-healing networks supported by agentic AI.
Our insight covers the following key points:
- Executive Summary
- Recommendations for telcos adopting agentic assurance
- Progress to date
- Future moves in assurance
- Introduction
- How is the assurance market changing?
- How will improving data and agentic AI impact assurance?
- AI and ML in assurance: Where are telcos now?
- The benefits of agentic systems in assurance
- Creating agentic systems for assurance
- The agentic journey
- Current status of agentic systems in assurance
- Building an agentic architecture for assurance
- Conclusion
Technologies and industry terms referenced include: • Knowledge graphs, ontology frameworks, vector databases • Semantic models and schemas • Metadata management • AgentOps, MLOps, data and knowledgeOps • Governance and policy management, • Risk assessment tools • Privacy and security management • Cloud and distributed/edge compute • High-performance and parallel compute (GPUs), storage and caching systems
