Cerillion's AI Agents Signal a New Era of Autonomous Telecom Operations

LONDON, UK – April 29, 2026 – Cerillion, a key provider of BSS/OSS solutions, today unveiled Cerillion 26.1, a significant software release that introduces collaborative AI agents designed to push the telecommunications industry closer to the long-sought goal of fully autonomous operations. The new Agent2Agent (A2A) capability enables previously isolated software agents to communicate, coordinate, and execute complex tasks together, marking a pivotal shift from fragmented automation to a holistic, intelligent operational framework.

This development arrives as Communication Service Providers (CSPs) globally grapple with increasing network complexity, the demands of 5G, and the need to operate with greater efficiency. By enabling AI agents to work in concert across different systems, Cerillion is addressing a core challenge in the journey towards what the TM Forum defines as higher levels of autonomous networks, where systems can self-configure, self-optimize, and self-heal with minimal human oversight.

The Dawn of Collaborative AI

For years, automation in telecom has largely been siloed, with scripts and bots performing specific, repetitive tasks within a single domain. Cerillion 26.1 aims to break down these walls. The A2A functionality builds upon the company's previous introduction of AI agents and its Model Context Protocol (MCP) server. This protocol creates a secure and consistent framework for sharing information and context, allowing different AI agents to maintain a shared understanding of a task as it progresses.

At the heart of this is an innovative concept Cerillion calls "Progressive Discovery." This allows an AI agent to dynamically find and access the specific data and services it needs as a workflow evolves, rather than being limited by pre-programmed instructions. For example, an agent tasked with provisioning a new enterprise service could autonomously query inventory agents, coordinate with network activation agents, and then notify billing agents—all in a seamless, multi-step process that spans multiple systems, both within Cerillion's suite and with external platforms.

This move towards collaborative, context-aware AI is what separates next-generation systems from legacy automation. It represents a step toward Level 4 autonomy, where systems make predictive, intent-driven decisions, a significant leap from the human-assisted or partially automated processes common in the industry today.

Driving Tangible Business Value

While the technology is advanced, the intended outcomes are practical and business-focused: reducing manual intervention, cutting operational costs, and accelerating revenue generation. By embedding this intelligence directly into its core product, Cerillion is providing CSPs with tangible tools to improve their bottom line.

Potential use cases span the entirety of a telco's operations. A "Catalogue Agent" could use natural language prompts from a product manager to design and launch a complex new 5G service bundle in a fraction of the time it would traditionally take. In customer service, a "Bill Intelligence" agent can instantly analyze a customer's account and provide a clear, human-readable explanation for a billing query, deflecting calls from a live contact center. Other agents can assist sales teams by recommending ideal product packages or proactively identify network anomalies before they impact service quality.

"With Cerillion 26.1, we are taking the next step in our AI journey – moving beyond individual AI capabilities towards more coordinated and autonomous operations," commented Louis Hall, CEO of Cerillion. "By enabling AI agents to work together across systems, we are helping our customers automate increasingly complex processes and execute workflows more efficiently."

Standards as the Bedrock of Innovation

Underpinning this technological advancement is a firm commitment to industry standards, a crucial factor in the complex, multi-vendor world of telecommunications. Cerillion highlights its Diamond-level TM Forum Open API conformance—an industry benchmark signifying broad and proven API implementation. This API-first architecture not only facilitates the new A2A communication but also drastically simplifies integration, reducing costs and accelerating time-to-market for CSPs.

By adhering to the TM Forum's Open Digital Architecture (ODA), Cerillion ensures its solutions are modular and interoperable, allowing CSPs to avoid vendor lock-in and adopt a more flexible, "plug-and-play" approach to building their technology stack. This standards-based, product-led strategy is a key differentiator, as it promises a scalable and repeatable deployment model, in contrast to services-heavy, custom-built integrations that can be costly and slow to implement.

This approach appears to be resonating in the market. The company recently secured a landmark £42.5 million contract with Omantel, a Tier-1 operator, to modernize its BSS/OSS with Cerillion's AI-ready platform. This win against major competitors signals strong market validation for a strategy that combines advanced AI with the stability and interoperability of open standards.

A New Front in the BSS/OSS AI Race

Cerillion is not alone in its pursuit of AI-driven autonomy. The entire BSS/OSS vendor landscape, including heavyweights like Amdocs, Ericsson, and Huawei, is heavily invested in developing what is increasingly being termed "agentic AI." This industry-wide race is fundamentally reshaping the tools CSPs will use to manage their businesses and networks. The focus has clearly shifted from simply automating tasks to building intelligent systems that can reason, collaborate, and adapt.

With a strong order book and growing recognition for its product-centric approach, Cerillion is positioning itself as a nimble and innovative leader in this critical market segment. The launch of Cerillion 26.1 is more than just a product update; it is a clear statement of intent and a vision for a future where telecommunications are not just connected, but truly intelligent. As CSPs continue their digital transformation journeys, the ability to deploy coordinated, autonomous systems will be a decisive factor in determining the industry's future leaders.