Veris Lite AI Agent Builder: Modular, LLM-Flexible AI for Omnichannel Telecom

In the age of digital transformation, telecom providers are under pressure to improve customer experience while controlling costs. We're introducing Veris Lite AI Agent Builder to meet this need.

Veris Lite is a streamlined, low-code platform for rapidly developing and deploying AI-powered conversational agents tailored to telecom and enterprise operations.

These intelligent agents leverage advanced AI (Large Language Models) to enable natural language interactions, enhancing customer service quality and operational efficiency.

In this post, we’ll explore what Veris Lite is, how its unique architecture works, and the value it offers – from faster rollouts and cost savings to improved CX and omnichannel coverage.

What is Veris Lite AI Agent Builder?

Veris Lite AI Agent Builder is Cloudnet.ai’s platform for creating intelligent, conversational agents without heavy coding. It provides a modular, layered architecture (more on this below) and an orchestration system that makes building complex telecom AI agents much faster and easier than traditional methods.

Designed with a low-code approach, many components are configured rather than coded, which accelerates development and opens up agent creation to non-AI specialists .

Importantly, Veris Lite is LLM-agnostic – you can connect your agents to any large language model that best fits your needs . Whether it’s OpenAI’s GPT series or alternative models like Alibaba’s Qwen or Zhipu’s models, Veris Lite integrates with different LLMs via API, so you have the flexibility to choose or switch models as needed.

The platform also supports seamless omnichannel deployment: build an agent once and deploy it across digital channels – from web and mobile apps to messaging platforms like WhatsApp and Instagram. In short, Veris Lite brings together advanced AI and telecom know-how in a ready-to-use solution, allowing communication service providers (CSPs) and enterprises to roll out conversational AI use cases rapidly.

Layered Architecture: Actions, Skills, and Agents

Veris Lite’s layered architecture connects to any LLM (e.g. OpenAI, Qwen) on the back-end and to any customer channel (web, app, WhatsApp, etc.) on the front-end. Inside the Agent Builder, developers define Actions, combine them into Skills, and orchestrate full Agents, with integrated testing tools to ensure quality.

At the core of Veris Lite is a three-layer architecture that cleanly separates an agent’s building blocks into Actions, Skills, and Agents. This design is key to how the system orchestrates complex conversations:

• Action Layer: Defines atomic operations or API calls into backend systems (BSS/OSS or others). For example, an action could retrieve a customer’s data from a billing system or submit an order update.

• Skill Layer: Orchestrates multiple actions to complete a specific task or workflow. A skill might combine steps like verifying a user’s identity, checking account status, and then executing a change request as one logical sequence.

• Agent Layer: Manages the overall conversation by combining skills to handle complex, multi-step interactions. The agent decides which skills to invoke based on user input and dialogue context, enabling dynamic, natural conversations.

This layered approach makes the system highly modular and reusable. You can mix and match skills and actions to rapidly compose new agents or features, and update one layer without rebuilding everything. For instance, if an API changes, you can swap out the corresponding Action; if you improve a workflow, you can tweak a Skill – all without rewriting the entire agent.

The Agent layer orchestrates the appropriate skills at runtime for each user query, ensuring a flexible flow. This modular orchestration is powerful: if a customer asks to upgrade their plan, the agent can dynamically invoke a “plan recommendation” skill (which runs several actions to fetch usage data and available plans) followed by a “change plan” action – handling the request end-to-end seamlessly. Overall, the architecture provides a robust foundation to build complex telecom use cases through manageable, testable components.

Business Benefits: Faster Rollouts, Lower Costs, Better CX, Omnichannel Reach

Adopting Veris Lite AI Agent Builder can deliver significant business value for telecom operators and enterprises. Key benefits include:

• Faster Rollouts: The low-code, configuration-driven design means new AI agents or updates can be deployed in days or weeks instead of months. Teams can rapidly prototype and launch solutions (even non-AI specialists can contribute), accelerating time-to-market for new digital services.

• Lower Operating Costs: AI agents autonomously handle a high volume of routine inquiries, reducing the load on call centers. Studies show AI chat agents can cut customer service costs by up to 30% while handling up to 80% of routine queries without human intervention. By deflecting simple tasks to bots, companies can optimize their support staffing and save millions annually.

• Improved Customer Experience: Intelligent agents offer instant, 24/7 support with personalized responses. Customers no longer wait on hold or navigate complex IVR menus – they get answers or actions immediately, anytime. This around-the-clock convenience significantly improves customer satisfaction rates , strengthening loyalty and brand perception.

• Omnichannel Engagement: Veris Lite enables a truly omnichannel customer care strategy. You can deploy the same AI agent across web chat, mobile apps, SMS, or social messaging platforms, ensuring consistent service everywhere your customers interact. Meeting users on their preferred channels (WhatsApp, Instagram, WeChat, etc.) improves engagement and makes self-service more accessible, all through a unified intelligent agent.

LLM-Agnostic and Integration Flexibility

One of the standout features of Veris Lite is its LLM-agnostic architecture. Unlike solutions tied to a single AI model, Veris Lite lets you plug in the large language model of your choice. It supports popular engines like OpenAI’s GPT-3/4, as well as regional and open-source models such as Alibaba’s Qwen and Zhipu AI’s platforms.

This flexibility means you can choose the model that best suits your business – whether prioritizing language support, model performance, cost, or data privacy. And as AI technology evolves, you can switch or upgrade models without rebuilding your agents , future-proofing your investment.

Equally important is integration flexibility on the front-end. Veris Lite was built for omnichannel deployment, with the ability to integrate into any digital channel through APIs and connectors. The agent you create can be embedded on your website or mobile app, and also extended to chat apps and social media.

For example, a telecom self-care bot built on Veris Lite can live on your customer portal, and simultaneously be available to customers on WhatsApp or other messaging platforms with minimal extra effort. This broad coverage ensures a consistent user experience – customers get the same helpful AI assistant whether they contact you on Facebook Messenger at midnight or use your mobile app in the morning. By leveraging Veris Lite’s LLM-agnostic, omnichannel approach, CSPs can deliver intelligent support anytime, anywhere their users need it.

Built for Telecom: Seamless Integration and Testing

Veris Lite AI Agent Builder is telecom-ready by design, meaning it easily fits into operators’ existing IT landscapes. The platform seamlessly integrates with common telecom business and operations support systems (BSS/OSS) and data sources.

Out-of-the-box, it understands telecom industry terminology and workflows – such as subscriber accounts, data bundles, billing cycles, network troubleshooting steps – enabling agents to converse in the language of telco customers and systems. This reduces the training needed and speeds up deployment, since the AI agents can hook into your billing APIs, CRM databases, or network management tools through pre-built Actions. For a CSP, this translates to AI solutions that work in context with your business logic and data from day one.

To ensure reliability in real-world deployments, Veris Lite comes with automated agent testing tools. Quality assurance is built into the development workflow – teams can write and execute test cases for their agents to validate conversation flows and backend integrations.

Before going live, you can automatically verify that an agent returns correct answers, triggers the right actions (like creating a trouble ticket), and handles edge cases. This prevents unpleasant surprises when customers start interacting with the AI.

The testing framework, combined with the modular architecture, makes it safe to iterate and improve your agents continuously. In fact, at Cloudnet.ai we've created interactive demos to showcase agents in action – simulating how a Veris Lite-built chatbot would perform in a WhatsApp chat, for example.

This kind of prototyping underscores the platform’s deployment readiness and helps stakeholders experience the agent exactly as end-users would on various channels. From development through to go-live, Veris Lite ensures your AI agents are robust and enterprise-grade.

Use Cases and Applications

Veris Lite’s flexibility opens up a wide range of conversational AI use cases for telecom operators and digital service providers. Here are just a few examples of what you can build:

• Self-Care Agent: Allow customers to manage their accounts, order services, and change plans through a conversational interface. This AI agent effectively replaces the traditional point-and-click self-service portal with a natural dialogue experience. Subscribers can check data usage, top-up accounts, or configure services simply by chatting, which increases self-service adoption and reduces calls to the helpdesk.

• Plan Upgrade Assistant: Help users review and modify their service plans with personalized recommendations. For instance, the agent can analyze a customer’s usage and suggest an upgrade to a better-suited plan, then guide them through the change. This not only improves customer satisfaction (they get a plan that fits their needs) but also drives upsell and revenue growth for the operator via intelligent cross-selling.

• Customer Support Bot: Handle common inquiries and troubleshooting questions automatically, integrating with knowledge bases and support systems for efficient issue resolution. Operating 24/7, the support agent can walk customers through steps to fix connectivity issues, answer billing queries, or schedule appointments, and only escalate to human agents when necessary. This boosts responsiveness while alleviating the load on call centers, leading to faster support and lower operational costs.

These examples just scratch the surface. With Veris Lite, telecom providers can also create agents for onboarding new customers, answering product FAQs, assisting field technicians, conducting customer surveys, and more – all with a consistent AI-driven approach.

The layered architecture means once you’ve built a library of Actions and Skills, you can rapidly compose new agents for novel use cases by reusing those building blocks.

Explore Veris Lite with Cloudnet.ai

Veris Lite AI Agent Builder represents a major step forward in how telecom companies can deliver customer service and engagement. It combines Cloudnet.ai’s deep telecom software expertise with state-of-the-art AI, packaged in a flexible, easy-to-use platform. The result is faster deployment of smart agents, better experiences for customers, and greater efficiency for your business.

Ready to transform your customer experience with AI? We invite CSPs, telecom operators, and integration partners to explore Veris Lite firsthand. Get in touch with Cloudnet.ai to schedule a live demo and see our AI agents in action.

Experience how quickly you can build a conversational agent tailored to your needs, and discover the difference an AI-native approach can make in driving your digital transformation. Let’s shape the future of intelligent customer engagement together.