Introduction
When businesses consider adding an AI chatbot to their website, the conversation often begins with technology choices. But according to Sohrab Ahmad, Founder and CEO of Nurarix Systems, that approach can miss what actually makes a chatbot useful. In this interview, Ahmad shares a client example and the recurring gaps he sees in chatbot development.
When a Generic Chatbot Would Not Fit
Ahmad described a situation where the standard chatbot playbook did not apply. A UAE-based real estate client wanted an AI agent integrated into their application. Their team was often busy and could not communicate with every customer immediately.
Instead of deploying a generic chatbot, Ahmad said, "we integrated an AI agent specifically around their business, so it could provide customers with relevant information about their services and respond based on the business context." The key was tailoring the agent to the client's specific services and customer interactions, rather than using a one-size-fits-all solution.
This example highlights a common theme: the most effective chatbots are built around the business they serve, not just the technology they use.
What Most Resources Leave Out
Many pages ranking for terms like AI chatbot development focus on technical capabilities. But Ahmad pointed to a more fundamental issue. "One thing we repeatedly see is that building an AI chatbot is not simply about connecting an AI model to a website," he said. "The chatbot needs to understand the specific business, its services, customer questions, and the information it is allowed to provide."
Without that business-specific knowledge and configuration, Ahmad warned, "even a technically advanced chatbot may not provide useful answers to customers." This gap between technical implementation and practical usefulness is something he sees often.
For businesses, the takeaway is clear: a chatbot's value depends on how well it understands the context in which it operates. That requires more than plugging in a model; it requires defining what the chatbot should know and how it should respond.
The Wrong Order of Decisions
When business owners first explore chatbots, Ahmad said they often decide too quickly on features and technology. "Many business owners focus on the technology and features before clearly defining what they actually want the chatbot to achieve," he explained. They may decide they need an AI chatbot without first identifying whether its main purpose is customer support, lead generation, answering questions, bookings, or another business process.
In Ahmad's experience, "the business objective should come first, and the chatbot's technology and features should be designed around that objective." This sequence—objective first, then technology—helps ensure the chatbot actually serves the business rather than becoming an expensive experiment.
Practical Takeaways
For businesses considering an AI chatbot, Ahmad's insights suggest a few practical steps:
- Start with the business goal. Define what you want the chatbot to accomplish before selecting features or platforms.
- Prioritize business-specific knowledge. A chatbot needs to understand your services, your customers' questions, and what information it is allowed to share.
- Avoid generic solutions. As the real estate example shows, tailoring the agent to your business context can make the difference between a useful tool and a frustrating one.
Ahmad's perspective underscores that successful chatbot projects are less about the underlying AI model and more about how well the solution is aligned with the business it serves. For companies navigating this space, that alignment is the foundation for any effective implementation.
To learn more about Nurarix Systems and their approach to digital solutions and AI, visit their website.