TuneAIBot does not treat AI responses as a black box.
\nYou can directly edit the content of FAQs and knowledge base entries, allowing full human control over AI-generated answers.<\/p>\n
Even after a response is created, you can continuously refine it by:
\n\u30fbAdjusting wording to match your company\u2019s tone
\n\u30fbClarifying decision criteria
\n\u30fbEliminating unnecessary ambiguity<\/p>\n
Through ongoing refinement, responses evolve into content suitable for real-world operations.
\nThe AI does not change unpredictably on its own\u2014it generates answers based on editable knowledge.<\/p>\n
—<\/p>\n
TuneAIBot visualizes the match rate between a question and FAQ\/knowledge entries as a percentage.
\nWhen a question is entered, you can immediately see how closely it matches each knowledge source.<\/p>\n
Based on this score, you can control behavior such as:
\n\u30fbAutomatically responding only when the match rate is high
\n\u30fbPreventing auto-responses below a certain threshold<\/p>\n
Because you can verify why a response was selected,
\nyou can avoid sending uncertain or unreliable answers.<\/p>\n
—<\/p>\n
TuneAIBot is not built for full automation by default.
\nYou can intentionally set strict conditions for auto-responses, ensuring that unclear cases are not handled automatically.<\/p>\n
As a result:
\n\u30fbOnly clearly answerable questions are automated
\n\u30fbQuestions requiring judgment are reviewed by humans<\/p>\n
The AI is designed not to replace humans, but to support decision-making and improve operational efficiency.<\/p>\n
—<\/p>\n
TuneAIBot is built on three key principles:
\nEditable
\nControllable (can be stopped)
\nHuman-in-the-loop<\/p>\n
Rather than leaving everything to AI, you can always maintain visibility and control over responses, automation scope, and decision criteria.
\nThis makes it a reliable AI chatbot that can be safely integrated into real business operations.<\/p>\n