AI Studio: Turning agentic AI vision into OSS reality
Despite all the hype around AI in telecom, OSS teams are still searching for real value. In this blog, David Lawrence explains how Blue Planet AI Studio helps CSPs turn AI concepts into solutions with purpose-built intelligence for telecom network operations.
The telecommunications industry is no stranger to big ideas. Over the past year, AI has dominated every keynote, roadmap, and strategy deck, touted as the silver bullet for operational efficiency and autonomous networks. For most Operations Support System (OSS) environments, the potential of AI is still just out of reach. Even with the introduction of modern AI technologies, including Large Language Models (LLMs) that offer advanced reasoning and decision-making, the full benefits have yet to be realized. From isolated pilots to siloed quick fixes and one-size-fits-all toolkits, these early efforts have raised expectations but not progress.
At Blue Planet, we believe communications service providers (CSPs) need more than just concepts. They need the ability to experiment and seamlessly take those experiments into production with real, OSS-native software that delivers results. Autonomous networks remain the ultimate goal, and Blue Planet Agentic AI is designed to accelerate that journey. That’s exactly what Blue Planet AI Studio was built for.
AI that understands OSS — not just promises it
CSP CTOs are navigating a complex landscape. Networks are growing in complexity, services becoming more dynamic, and customer expectations are higher than ever. Through our work with CSPs and involvement in early agentic AI projects, we’ve identified three main OSS challenges where traditional AI approaches often hit roadblocks.
- People: There’s a gap between network engineering, subject matter experts and data science teams. Without tools that bridge this divide, AI initiatives struggle to gain traction.
- Process: Many solutions end up as bolt-on processes, siloed by design and disconnected from the broader OSS environment.
- Technology: AI agents need access to the right tools and data to act and adapt to constantly changing networks.
The result? Slow experimentation. Missed opportunities. And an ever-widening gap between the vision of autonomous networks and the day-to-day reality of operations.
AI Studio bridges that gap by giving CSPs a purpose-built, tool that combines telco domain intelligence, flexible AI integration, and intuitive design — all within Blue Planet’s Intelligent Automation Portfolio .
Meet AI Studio: Your launchpad for an agentic OSS
AI Studio is not an abstract concept or experimental playground. It is a fully integrated part of the Blue Planet portfolio that acts as an intelligent work bench for network engineers and data scientists, to design, test, and deploy AI pipelines and agents with confidence. Because it is embedded in Blue Planet’s Cloud Native Platform (CNP), AI Studio enables teams to build agents that work across applications, vendors, and domains. This allows them to tackle operational challenges and increase automation across network planning, orchestration, and operations holistically without the constraints of siloed tools.
Figure 1. Blue Planet's Intelligent Automation Portfolio
Here’s what makes AI Studio different:
- Drag-and-drop simplicity: Engineers can visually build agentic workflows using an intuitive canvas interface.
- Pre-built OSS-native agents: Leverage domain-specific tools for classification, enrichment, resolution, summarization, and more — tailored for telecom operations.
- Bring your own AI: Build and run AI within Blue Planet’s environment.
- LLM provider agnostic: Use our LLM gateway to gain secure access to your preferred LLM.
- Telco domain intelligence baked in: AI Studio understands the structure, language, and nuance of OSS — accelerating results while reducing manual effort.
Figure 2. AI Studio, drag-and-drop agent builder design.
This is AI that is ready to work, in the language of telecom, for the challenges of telecom. But it is not just a set of features. It’s powering the kinds of use cases CSPs care about most. Let's highlight a recent demo that brings AI Studio to life in the context of autonomous 5G slice provisioning.
AI Studio use case: Intent-driven autonomous networking
AI Studio leverages LLMs that are specifically designed to interpret natural language and understand user intent. In this screenshot, a network engineer uses Blue Planet Assistant to request a 5G service for Drone Flyer’s event at Montreal’s Olympic Park. The conversation captures the intent — ultra-reliable 5G coverage for 500 drones — and AI automatically provisions and validates a dedicated network slice. As shown, the service request completes successfully, ensuring the high-performance connectivity needed for an unforgettable event experience. This is the power of AI, in the language of telecom.
Figure 3. Blue Planet Assistant provisions and validates a 5G network slice with natural language prompts.
Built on Blue Planet’s Agentic AI Framework
AI Studio is powered by Blue Planet’s Agentic AI Framework, a strategic foundation introduced by Joe Cumello, Blue Planet’s SVP and GM, earlier this year. The framework is built on four core principles — all of which are fully realized in AI Studio:
- Deep OSS and telco domain knowledge
- Access to structured, federated OSS data
- Enable AI agent coordination – not siloed automation
- Accelerate time to OSS value
AI Studio is the tool that transforms these differentiators from framework to field — helping CSPs move from strategy to execution on their autonomous network journey.
Start your agentic OSS journey today
AI Studio is the agentic foundation of Blue Planet’s Intelligent Automation Portfolio. It’s your on-ramp to real, AI in OSS — no hype required.
Download the AI Studio Info Brief to learn how you can put AI agents to work for your OSS.