A chatbot is useful when it answers from verified sources, understands context and knows when to ask for clarification or hand the conversation to a person. It must not make up information or push every conversation towards a sale.
Frequently Asked Questions
We can connect authorised pages, FAQs, documents and company data. Sources are organised and kept up to date with checks on freshness, coverage and errors, keeping public content separate from contact data.
Yes, if the channels and their APIs allow the integration. We design a shared conversational core and adapt the interface, privacy and available actions to each channel.
It can collect data and send it to the CRM only when the user shows a clear commercial intent and accepts the stated terms. An informational conversation must not automatically become a lead.
It depends on sources, use cases, integrations and level of risk. After the prototype we run realistic tests on correct, ambiguous and off-topic questions before opening the service to users.
We log turns, sources, evaluations, errors and model usage. Structural fixes are tested and approved; individual answers are never stored as truth without being checked.