roadNet Technologies has launched BroadNet AI, an agentic enterprise platform whose autonomous agents do more than answer questions — they execute multi-step business processes across connected systems. It is designed to deploy in weeks rather than the many months typical of enterprise AI projects, to run wherever data-residency and security require (cloud, private cloud, on-premise, or fully air-gapped), and to price predictably without per-query surprise fees. Read the full platform overview on the BroadNet AI for enterprise page.
Beyond chatbots: agents that take action
A conventional chatbot only replies. A BroadNet AI agent understands context and acts on it: it reads the data, makes a decision, and carries out the next step across the systems it is connected to. It understands that a support ticket relates to an order, which relates to inventory, which affects revenue — and it moves work forward accordingly, instead of handing every task back to a human.
Built around the reasons enterprise AI stalls
Industry research over the past two years has found that a large majority of enterprise generative-AI pilots never reach measurable business impact. BroadNet AI is engineered against the three most common causes — rollouts that take too long, cost too much, and never really learn the business.
“At BroadNet, our philosophy has always been that it is all about the client, not the technology,” said Rabih Zubaidi, CEO of BroadNet Technologies. “Businesses are not failing at AI because the technology does not exist — they are failing because implementations take too long, cost too much, and the AI does not understand their business. We built BroadNet AI to fix all three.”
- Speed to value — agents go live in weeks, not the six-to-twelve months typical of enterprise AI, lowering implementation risk.
- Agents that understand your business — they learn the relationships between your customers, products, processes, and operations rather than answering in isolation.
- Complete data control — deploy on cloud, private cloud, on-premise, or air-gapped infrastructure so data stays where compliance requires.
- Predictable economics — no per-query or surprise API charges that quietly turn a small tool into a large liability.
Where BroadNet AI fits alongside the network
BroadNet AI joins a messaging network that has connected enterprises and operators since 2003 across 200+ countries through 1,000+ operator connections. The same platform that carries A2P SMS, WhatsApp, RCS, and voice now adds agents that can act on those conversations. Enterprises can start with a conversation about their use case.
Frequently asked questions
What is BroadNet AI?
BroadNet AI is an agentic enterprise platform: instead of a chatbot that only answers questions, it deploys autonomous agents that understand a company's context and execute multi-step processes across connected systems. It is built to deploy in weeks and to run in cloud, private-cloud, on-premise, or air-gapped environments.
How is an AI agent different from a chatbot?
A chatbot responds to a prompt and stops. An agent analyses data, makes a decision, and takes the next action across the tools it is connected to — for example resolving a support case by checking the related order and inventory rather than routing the question to a person.
Where can BroadNet AI be deployed?
On your terms — cloud, private cloud, on-premise, or fully air-gapped — so that data stays wherever your compliance and security policies require it to stay. See the BroadNet AI for enterprise page for deployment detail.