LLMs can help operators boost common practices, like service assurance and RCA, thanks to their ability to process and parse data from disparate sources – providing human intelligible output and providing clear inputs for ticketing systems and audit trails. AI is…
Evolving IR.21 and IR.85 Change Implementation
IR.21 and IR.85 changes affect multiple systems and teams. To automate them properly, providers need an end-to-end approach covering three stages: detect, assess, and deploy. Detection alone, such as through RAEX, is not enough. Operators also need automated impact assessment across…
Automating IR.21 and IR.85 Change Implementation
This whitepaper explains why roaming operations have become a prime candidate for automation. IR.21 and IR.85 agreements are long, complex, and updated frequently. Most operators manage hundreds of them. Each change triggers manual reviews, network updates, validation, and governance checks, creating…
Four Practical Lessons in AI Readiness for Telcos
This whitepaper focuses on how telcos can apply AI in practical, low-risk ways that deliver value today. It moves past hype and sets out four lessons based on real deployments. First, Large Language Models can sit inside process flows to improve…
What are CSPs’ priority targets for AI deployment?
Automation is already transforming CSPs operations – and AI promises to elevate system operations and efficiencies. What approach are CSPs taking to add AI to the mix — and what are their priority targets? Multiple trends are coming together to create…
What’s the AI timeline for operators?
There is a lot of hype surrounding Ai and how it is set to revolutionise the communications and service provider sector. An incremental approach to adoption is most likely. But where are we now? Artificial Intelligence (AI) and Machine Learning (ML)…
Will Agentic AI solve the telco OSS integration challenge?
Agentic AI supported by open source MCP holds great promise for simplifying integration and facilitating information transfer necessary for advanced automation. But while there’s early promise, it’s unrealistic to expect that telco networks, including the OSS, BSS and other domains, will…
AI in telco automation – progress and opportunities
This We Are CORTEX white paper examines how AI is reshaping telecom automation, from early use in fraud detection and network optimisation to AI-native 6G architectures. It reviews industry readiness, showing that while many operators are trialling AI, large-scale integration is…
Composable IT and process fragments
The paper shows how CORTEX applies Composable IT to telecoms automation by breaking processes into reusable, interoperable Process Fragments. Traditional service creation relied on complex abstractions like Service Independent Building Blocks, but remained difficult to use. Composable IT modernises this idea:…
Is the TMF Open Digital Architecture the ultimate destination for the adoption of composability?
The TMF Open Digital Architecture promises to provide a unified approach to both APIs and process management – but many legacy systems and functions will never migrate to ODA. What’s needed is an approach that enables the realisation of the ultimate…
Composable IT in telecoms – is it a pathway to automation?
Composability allows us to integrate different systems – both inside our networks and externally. Internally, this provides a means to implement new levels of process automation. How? Composable IT – driving monetisation but also internal optimisation Composable IT has become rather…
Telecoms fraud and cyber risks
Telcos face an increasingly complex cybersecurity threat surface due to technologies like IoT, 5G, and cloud computing, which introduce new vulnerabilities and increase data volumes. Organisations must contend with threats from malicious actors, state-backed attacks, human error, and stricter compliance requirements…