Start with
Your Business Objectives
Before selecting an AI model, define what your chatbot needs to achieve. Is the goal to automate FAQs, offer transactional support, or handle complex, multi-step conversations? A startup with a small support team might benefit from a simple rules-based system, while a global enterprise may require a multilingual, generative AI model. Clearly outlining the scope and purpose ensures the technology aligns with real business impact, not just trends.
Start with
Your Business Objectives
Before selecting an AI model, define what your chatbot needs to achieve. Is the goal to automate FAQs, offer transactional support, or handle complex, multi-step conversations? A startup with a small support team might benefit from a simple rules-based system, while a global enterprise may require a multilingual, generative AI model. Clearly outlining the scope and purpose ensures the technology aligns with real business impact, not just trends.
Match Model Capabilities
to Customer Needs
Different AI models offer varying strengths. Retrieval-based systems work well when accuracy and control are priorities, while generative models like GPT or Claude offer flexibility and more natural conversations. Consider your users: do they need fast answers, empathy, or detailed explanations? Prioritise models that can handle the language, tone, and complexity your customers expect—and test thoroughly across real scenarios.
Match Model Capabilities
to Customer Needs
Different AI models offer varying strengths. Retrieval-based systems work well when accuracy and control are priorities, while generative models like GPT or Claude offer flexibility and more natural conversations. Consider your users: do they need fast answers, empathy, or detailed explanations? Prioritise models that can handle the language, tone, and complexity your customers expect—and test thoroughly across real scenarios.
Think Long-Term:
Integration, Cost, and Scalability
A great chatbot isn't just smart—it’s sustainable. Evaluate how well the AI model integrates with your existing tools (CRM, ticketing, analytics), how pricing scales with usage, and whether it can grow with your business. Also, assess how easy it is to update or fine-tune the model as your needs evolve. A future-proof choice balances performance with flexibility, ensuring your AI investment keeps delivering value over time.
Think Long-Term:
Integration, Cost, and Scalability
A great chatbot isn't just smart—it’s sustainable. Evaluate how well the AI model integrates with your existing tools (CRM, ticketing, analytics), how pricing scales with usage, and whether it can grow with your business. Also, assess how easy it is to update or fine-tune the model as your needs evolve. A future-proof choice balances performance with flexibility, ensuring your AI investment keeps delivering value over time.
