Rule-based chatbots follow scripted decision trees — they only work when users follow a predicted path. AI chatbots use natural language understanding to handle the full range of how humans actually express themselves — including questions the scripts never anticipated. They’re more flexible, more useful, and dramatically better at handling real conversations.

We use a combination of fine-tuning and Retrieval-Augmented Generation (RAG). We ingest your product documentation, support history, FAQs, knowledge base articles, and any other relevant content — building a knowledge retrieval system and training the model to give accurate, on-brand responses based on that material.

Yes — integration with your existing systems is a standard part of what we build. We commonly integrate with Salesforce, HubSpot, Zendesk, Intercom, Freshdesk, and custom CRM or order management systems. The chatbot can look up account information, log interactions, create tickets, and update records in real time.

We design explicit escalation logic for every chatbot we build. When the bot isn’t confident in its response, or when the user requests a human, it hands off to a live agent — with full conversation history — so the customer never has to repeat themselves. The escalation triggers, messaging, and handoff workflow are all designed specifically for your business.