How AI is Transforming Operations for CSPs
-
Published Time: 2025-09-27T07:30:00Z
Article
Technology
How AI is Transforming Operations for CSPs
September 27, 2025
4 mins
Share
Transitioning AI from experimental pilots to embedded operational solutions | Photo: ImageFX
Telecom operators embed AI into core systems to boost efficiency, automate services and accelerate product development across BSS and OSS platforms
Company portals
Vodafone
Tags
TOBi5GIoTEdge ComputingMagic Quadrant reportGartnercyberattacksCPSCerillionprivate AI enginesLLMBring Your Own AIOSSBSSAIMITSubexAI-driven automationTelcoTelecommunications
AI is reshaping the telecommunications industry by transitioning from experimental pilots to embedded operational solutions that deliver clear business value.
According to industry data from Subex, AI-driven automation has reduced billing queries by up to 60%, demonstrating the tangible impact of AI in improving telecom operations.
Embedding AI into core telecom systems
Research from MIT highlights a sector-wide transition from innovation labs to fully integrated AI within operational IT systems.
The shift supports a maturing landscape where communications service providers (CSPs) and vendors focus on practical AI deployment that drives measurable returns on investment.
As a result, CSPs can now move beyond isolated use cases to implement AI within Business Support Systems (BSS) and Operations Support Systems (OSS), achieving scalable, compliant and seamless operations.
Cerillion exemplifies this approach by embedding AI at the heart of its BSS/OSS product suite.
Its “Bring Your Own AI” model supports major public large language models (LLMs) as well as private AI engines, allowing CSPs to adopt AI-driven automation without complex integration or AI-specific expertise.
Accelerating product innovation with AI
One of Cerillion’s breakthrough solutions uses GenAI-powered image recognition to accelerate product configuration.
Telecom teams can draft new product concepts on a whiteboard, upload a photo into Cerillion’s Enterprise Product Catalogue and receive an automatically generated configuration.
The technology has achieved product development times reduced by up to 95%, enabling operators to respond rapidly to evolving market demands.
Similarly, Cerillion’s AI-driven promotions engine enables CSPs to design targeted marketing campaigns with faster execution and greater precision, tailoring offers based on detailed customer behavioural data.
The AI capabilities are driving improved campaign efficiency, optimised lead generation, higher customer lifetime value and enhanced operational workflows.
According to industry data from Subex, AI-driven automation has reduced billing queries by up to 60% | Photo: Subex
Delivering outcomes that matter
Industry benchmarks indicate that CSPs focusing on embedding AI into their business processes – not treating AI as a peripheral feature – achieve faster and more sustainable benefits.
Measurable improvements include campaign ROI uplift, streamlined lead conversion, operational efficiency gains and fewer manual errors.
Expert analysis from leading AI studies affirms that AI is no longer optional in telecom operations.
Gartner’s recent Magic Quadrant report cites Cerillion’s AI capacity as a key differentiator, reflecting the industry’s pivot towards large-scale AI deployments integrated at the systems level.
Broader AI impact across telecom
AI’s role in telecom extends beyond billing and promotions. Providers increasingly deploy AI for predictive maintenance, network optimisation and fault detection.
AI-powered virtual assistants enhance customer experience by automating routine service interactions, reducing wait times and freeing staff for more complex tasks.
By analysing real-time network data, AI-driven systems predict equipment failures before outages occur and optimise network traffic dynamically, avoiding congestion and improving uptime.
Security operations benefit from AI-driven threat detection, enabling faster and more effective responses to cyberattacks in complex telecom environments.
Vodafone’s AI virtual assistant TOBi, which handles more than 70% of customer queries independently | Photo: Vodafone
Preparing for future challenges
As telecom networks evolve with 5G proliferation, Internet of Things (IoT) and edge computing, complex infrastructure management becomes unmanageable without AI.
Autonomous AI systems capable of “sense, think and act” functions now assist in self-healing networks, traffic routing and dynamic resource allocation, marking significant operational shifts.
Vodafone’s AI virtual assistant TOBi, which handles more than 70% of customer queries independently, exemplifies early yet impactful use of conversational AI to improve service delivery and scale.
Embedding AI as telecom’s operational foundation
By embedding AI within BSS/OSS platforms and core workflows, CSPs can realise the technology’s full potential, moving from experimentation to execution at scale.
Industry leaders such as Cerillion provide integrated AI solutions that simplify deployment while maximising returns.
For telecom operators aiming to modernise, AI is no longer a luxury but a necessity to maintain competitive advantage, optimise network performance and deliver personalised customer experiences essential for growth.
Company Portals
Vodafone
Related Content
