The basic mechanics
Most modern AI chatbots use a large language model (LLM) — a system trained on huge amounts of text to predict what response makes sense given a conversation. When you connect it to your own business data (product catalog, FAQs, past tickets), it can answer specific questions about your business, not just generic ones.
What they’re genuinely good at
- Answering repetitive questions instantly, at any hour, without a queue
- Pulling the right answer out of a large knowledge base faster than a human searching manually
- Collecting and structuring information before handing off to a human, so the human starts with context
Where they still need a human
Anything involving judgment calls, exceptions to policy, or a genuinely upset customer usually needs a human handoff — good bot design includes a clear, fast path to a real person, not a bot that traps the user in a loop.
Our take
We scope bots around specific, measurable tasks — cutting response time, qualifying leads, extracting data from documents — and build in an honest handoff point rather than pretending the bot can do everything. See our AI Solutions & AI Bots service.