AI chatbots seem to be moving beyond basic customer support and FAQ automation. With LLMs, RAG, API integrations, and workflow automation, they can now handle more complex business tasks.
For businesses adopting AI in 2026, how are you using AI chatbots as intelligent business assistants? Which use cases or features have delivered the most value so far—customer support, sales, internal knowledge management, lead qualification, or workflow automation?
Also, what challenges have you faced around accuracy, data security, and integration with existing business systems?

We integrated an AI assistant into our internal operations about eight months ago, and the shift from basic FAQ bot to genuine business assistant has been striking. Initially, we just wanted to automate tier-1 support tickets, but once we added RAG with our internal documentation and CRM data, the chatbot started handling lead qualification, meeting scheduling, and even surfacing relevant case studies for sales calls automatically. The real value unlocked when we connected it to our project management tools — now it can summarize weekly progress, flag risks, and draft status reports with minimal human input. One lesson: start with a narrow scope and expand gradually. We tried to do too much at once and ended up with accuracy issues. I read a case study on https://fortunicas.nl/ about how they phased their AI rollout across departments — that approach saved us from overwhelming both the system and our team. Also, data security is no joke — we had to implement strict role-based access controls before rolling out to finance and HR. What's your primary use case?